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1887706
journals/csur/TianSZCHTJ22
Evolutionary Large-Scale Multi-Objective Optimization: A Survey.
Ye Tian 0009, Langchun Si, Xingyi Zhang 0001, Ran Cheng 0004, Cheng He 0001, Kay Chen Tan, Yaochu Jin
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
174:1-174:34
https://dblp.org/rec/journals/csur/TianSZCHTJ22
https://doi.org/10.1145/3470971
Multi-objective evolutionary algorithms (MOEAs) have shown promising performance in solving various optimization problems, but their performance may deteriorate drastically when tackling problems containing a large number of decision variables. In recent years, much effort been devoted to addressing the challenges brou...
@article{DBLP:journals/csur/TianSZCHTJ22, author = {Ye Tian 0009 and Langchun Si and Xingyi Zhang 0001 and Ran Cheng 0004 and Cheng He 0001 and Kay Chen Tan and Yaochu Jin}, title = {Evolutionary...
1887704
journals/csur/TelikaniTBG22
Evolutionary Machine Learning: A Survey.
Akbar Telikani, Amirhessam Tahmassebi, Wolfgang Banzhaf, Amir H. Gandomi
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
161:1-161:35
https://dblp.org/rec/journals/csur/TelikaniTBG22
https://doi.org/10.1145/3467477
Evolutionary Computation (EC) approaches are inspired by nature and solve optimization problems in a stochastic manner. They can offer a reliable and effective approach to address complex problems in real-world applications. EC algorithms have recently been used to improve the performance of Machine Learning (ML) model...
@article{DBLP:journals/csur/TelikaniTBG22, author = {Akbar Telikani and Amirhessam Tahmassebi and Wolfgang Banzhaf and Amir H. Gandomi}, title = {Evolutionary Machine Learning: A Survey.}, journal = {ACM Comput. Surv.}, volume = {54},...
1887534
journals/csur/Bustio-Martinez22
FPGA/GPU-based Acceleration for Frequent Itemsets Mining: A Comprehensive Review.
Lázaro Bustio-Martínez, René Cumplido, Martín Letras, Raudel Hernández-León, Claudia Feregrino-Uribe, José Hernández-Palancar
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
179:1-179:35
https://dblp.org/rec/journals/csur/Bustio-Martinez22
https://doi.org/10.1145/3472289
In data mining, Frequent Itemsets Mining is a technique used in several domains with notable results. However, the large volume of data in modern datasets increases the processing time of Frequent Itemset Mining algorithms, making them unsuitable for many real-world applications. Accordingly, proposing new methods for ...
@article{DBLP:journals/csur/Bustio-Martinez22, author = {Lázaro Bustio-Martínez and René Cumplido and Martín Letras and Raudel Hernández-León and Claudia Feregrino-Uribe and José Hernández-Palancar}, title = {FPGA...
1887689
journals/csur/SchlettRHGFB22
Face Image Quality Assessment: A Literature Survey.
Torsten Schlett, Christian Rathgeb, Olaf Henniger, Javier Galbally, Julian Fiérrez, Christoph Busch 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
210:1-210:49
https://dblp.org/rec/journals/csur/SchlettRHGFB22
https://doi.org/10.1145/3507901
The performance of face analysis and recognition systems depends on the quality of the acquired face data, which is influenced by numerous factors. Automatically assessing the quality of face data in terms of biometric utility can thus be useful to detect low-quality data and make decisions accordingly. This survey pro...
@article{DBLP:journals/csur/SchlettRHGFB22, author = {Torsten Schlett and Christian Rathgeb and Olaf Henniger and Javier Galbally and Julian Fiérrez and Christoph Busch 0001}, title = {Face Image Quality Assessmen...
1887548
journals/csur/ChengSCHL21
Fashion Meets Computer Vision: A Survey.
Wen-Huang Cheng, Sijie Song, Chieh-Yun Chen, Shintami Chusnul Hidayati, Jiaying Liu 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
72:1-72:41
https://dblp.org/rec/journals/csur/ChengSCHL21
https://doi.org/10.1145/3447239
Fashion is the way we present ourselves to the world and has become one of the world’s largest industries. Fashion, mainly conveyed by vision, has thus attracted much attention from computer vision researchers in recent years. Given the rapid development, this article provides a comprehensive survey of more than 200 ma...
@article{DBLP:journals/csur/ChengSCHL21, author = {Wen-Huang Cheng and Sijie Song and Chieh-Yun Chen and Shintami Chusnul Hidayati and Jiaying Liu 0001}, title = {Fashion Meets Computer Vision: A Survey.}, journal = {ACM Com...
1887511
journals/csur/AntonelliACCFGMMP22
Few-Shot Object Detection: A Survey.
Simone Antonelli, Danilo Avola, Luigi Cinque, Donato Crisostomi, Gian Luca Foresti, Fabio Galasso, Marco Raoul Marini, Alessio Mecca, Daniele Pannone
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
242:1-242:37
https://dblp.org/rec/journals/csur/AntonelliACCFGMMP22
https://doi.org/10.1145/3519022
Deep learning approaches have recently raised the bar in many fields, from Natural Language Processing to Computer Vision, by leveraging large amounts of data. However, they could fail when the retrieved information is not enough to fit the vast number of parameters, frequently resulting in overfitting and therefore in...
@article{DBLP:journals/csur/AntonelliACCFGMMP22, author = {Simone Antonelli and Danilo Avola and Luigi Cinque and Donato Crisostomi and Gian Luca Foresti and Fabio Galasso and Marco Raoul Marini and ...
1887512
journals/csur/ArakadakisCMF22
Firmware Over-the-air Programming Techniques for IoT Networks - A Survey.
Konstantinos Arakadakis, Pavlos Charalampidis, Antonis Makrogiannakis, Alexandros G. Fragkiadakis
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
178:1-178:36
https://dblp.org/rec/journals/csur/ArakadakisCMF22
https://doi.org/10.1145/3472292
The devices forming Internet of Things (IoT) networks need to be re-programmed over the air, so that new features are added, software bugs or security vulnerabilities are resolved, and their applications can be re-purposed. The limitations of IoT devices, such as installation in locations with limited physical access, ...
@article{DBLP:journals/csur/ArakadakisCMF22, author = {Konstantinos Arakadakis and Pavlos Charalampidis and Antonis Makrogiannakis and Alexandros G. Fragkiadakis}, title = {Firmware Over-the-air Programming Techniques for IoT Networks - A Survey.}, ...
1887573
journals/csur/GuNWCHLW21
From Server-Based to Client-Based Machine Learning: A Comprehensive Survey.
Renjie Gu, Chaoyue Niu, Fan Wu 0006, Guihai Chen, Chun Hu, Chengfei Lyu, Zhihua Wu
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
6:1-6:36
https://dblp.org/rec/journals/csur/GuNWCHLW21
https://doi.org/10.1145/3424660
In recent years, mobile devices have gained increasing development with stronger computation capability and larger storage space. Some of the computation-intensive machine learning tasks can now be run on mobile devices. To exploit the resources available on mobile devices and preserve personal privacy, the concept of ...
@article{DBLP:journals/csur/GuNWCHLW21, author = {Renjie Gu and Chaoyue Niu and Fan Wu 0006 and Guihai Chen and Chun Hu and Chengfei Lyu and Zhihua Wu}, title = {From Server-Based to Client-Based...
1887739
journals/csur/ZhuWCX22
Fuzzing: A Survey for Roadmap.
Xiaogang Zhu 0001, Sheng Wen, Seyit Camtepe, Yang Xiang 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
230:1-230:36
https://dblp.org/rec/journals/csur/ZhuWCX22
https://doi.org/10.1145/3512345
Fuzz testing (fuzzing) has witnessed its prosperity in detecting security flaws recently. It generates a large number of test cases and monitors the executions for defects. Fuzzing has detected thousands of bugs and vulnerabilities in various applications. Although effective, there lacks systematic analysis of gaps fac...
@article{DBLP:journals/csur/ZhuWCX22, author = {Xiaogang Zhu 0001 and Sheng Wen and Seyit Camtepe and Yang Xiang 0001}, title = {Fuzzing: A Survey for Roadmap.}, journal = {ACM Comput. Surv.}, volume = {54}, number = {11s}, ...
1887649
journals/csur/MuhammadOHSKTD21
Fuzzy Logic in Surveillance Big Video Data Analysis: Comprehensive Review, Challenges, and Research Directions.
Khan Muhammad 0001, Mohammad S. Obaidat, Tanveer Hussain 0001, Javier Del Ser, Neeraj Kumar 0001, Muhammad Tanveer 0001, Faiyaz Doctor
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
68:1-68:33
https://dblp.org/rec/journals/csur/MuhammadOHSKTD21
https://doi.org/10.1145/3444693
CCTV cameras installed for continuous surveillance generate enormous amounts of data daily, forging the term Big Video Data (BVD). The active practice of BVD includes intelligent surveillance and activity recognition, among other challenging tasks. To efficiently address these tasks, the computer vision research commun...
@article{DBLP:journals/csur/MuhammadOHSKTD21, author = {Khan Muhammad 0001 and Mohammad S. Obaidat and Tanveer Hussain 0001 and Javier Del Ser and Neeraj Kumar 0001 and Muhammad Tanveer 0001 and Faiyaz Do...
1887688
journals/csur/SaxenaC21
Generative Adversarial Networks (GANs): Challenges, Solutions, and Future Directions.
Divya Saxena, Jiannong Cao 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
63:1-63:42
https://dblp.org/rec/journals/csur/SaxenaC21
https://doi.org/10.1145/3446374
Generative Adversarial Networks (GANs) is a novel class of deep generative models that has recently gained significant attention. GANs learn complex and high-dimensional distributions implicitly over images, audio, and data. However, there exist major challenges in training of GANs, i.e., mode collapse, non-convergence...
@article{DBLP:journals/csur/SaxenaC21, author = {Divya Saxena and Jiannong Cao 0001}, title = {Generative Adversarial Networks (GANs): Challenges, Solutions, and Future Directions.}, journal = {ACM Comput. Surv.}, volume = {54}, number = {3}, pages = {6...
1887715
journals/csur/WangSW21
Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy.
Zhengwei Wang, Qi She, Tomás E. Ward
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
37:1-37:38
https://dblp.org/rec/journals/csur/WangSW21
https://doi.org/10.1145/3439723
Generative adversarial networks (GANs) have been extensively studied in the past few years. Arguably their most significant impact has been in the area of computer vision where great advances have been made in challenges such as plausible image generation, image-to-image translation, facial attribute manipulation, and ...
@article{DBLP:journals/csur/WangSW21, author = {Zhengwei Wang and Qi She and Tomás E. Ward}, title = {Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy.}, journal = {ACM Comput. Surv.}, volume = {54}, number = {2}, pag...
1887535
journals/csur/CaiXXWLP21
Generative Adversarial Networks: A Survey Toward Private and Secure Applications.
Zhipeng Cai 0001, Zuobin Xiong, Honghui Xu 0001, Peng Wang 0190, Wei Li 0059, Yi Pan 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
132:1-132:38
https://dblp.org/rec/journals/csur/CaiXXWLP21
https://doi.org/10.1145/3459992
Generative Adversarial Networks (GANs) have promoted a variety of applications in computer vision and natural language processing, among others, due to its generative model’s compelling ability to generate realistic examples plausibly drawn from an existing distribution of samples. GAN not only provides impressive perf...
@article{DBLP:journals/csur/CaiXXWLP21, author = {Zhipeng Cai 0001 and Zuobin Xiong and Honghui Xu 0001 and Peng Wang 0190 and Wei Li 0059 and Yi Pan 0001}, title = {Generative Adversarial Networks: A Survey Towar...
1887574
journals/csur/GuerarVMPM22
Gotta CAPTCHA 'Em All: A Survey of 20 Years of the Human-or-computer Dilemma.
Meriem Guerar, Luca Verderame, Mauro Migliardi, Francesco Palmieri 0002, Alessio Merlo
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
192:1-192:33
https://dblp.org/rec/journals/csur/GuerarVMPM22
https://doi.org/10.1145/3477142
A recent study has found that malicious bots generated nearly a quarter of overall website traffic in 2019 [102]. These malicious bots perform activities such as price and content scraping, account creation and takeover, credit card fraud, denial of service, and so on. Thus, they represent a serious threat to all busin...
@article{DBLP:journals/csur/GuerarVMPM22, author = {Meriem Guerar and Luca Verderame and Mauro Migliardi and Francesco Palmieri 0002 and Alessio Merlo}, title = {Gotta CAPTCHA 'Em All: A Survey of 20 Years of the Human-or-computer ...
1887568
journals/csur/GevaySM22
Handling Iterations in Distributed Dataflow Systems.
Gábor E. Gévay, Juan Soto 0001, Volker Markl
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
199:1-199:38
https://dblp.org/rec/journals/csur/GevaySM22
https://doi.org/10.1145/3477602
Over the past decade, distributed dataflow systems (DDS) have become a standard technology. In these systems, users write programs in restricted dataflow programming models, such as MapReduce, which enable them to scale out program execution to a shared-nothing cluster of machines. Yet, there is no established consensu...
@article{DBLP:journals/csur/GevaySM22, author = {Gábor E. Gévay and Juan Soto 0001 and Volker Markl}, title = {Handling Iterations in Distributed Dataflow Systems.}, journal = {ACM Comput. Surv.}, volume = {54}, number = {9}, pages = {...
1887583
journals/csur/HuAK21
Hardware Information Flow Tracking.
Wei Hu 0008, Armaiti Ardeshiricham, Ryan Kastner
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
83:1-83:39
https://dblp.org/rec/journals/csur/HuAK21
https://doi.org/10.1145/3447867
Information flow tracking (IFT) is a fundamental computer security technique used to understand how information moves through a computing system. Hardware IFT techniques specifically target security vulnerabilities related to the design, verification, testing, manufacturing, and deployment of hardware circuits. Hardwar...
@article{DBLP:journals/csur/HuAK21, author = {Wei Hu 0008 and Armaiti Ardeshiricham and Ryan Kastner}, title = {Hardware Information Flow Tracking.}, journal = {ACM Comput. Surv.}, volume = {54}, number = {4}, pages = {83:1--83:39}, ...
1887666
journals/csur/PateriaSTQ21
Hierarchical Reinforcement Learning: A Comprehensive Survey.
Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan, Chai Quek
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
109:1-109:35
https://dblp.org/rec/journals/csur/PateriaSTQ21
https://doi.org/10.1145/3453160
Hierarchical Reinforcement Learning (HRL) enables autonomous decomposition of challenging long-horizon decision-making tasks into simpler subtasks. During the past years, the landscape of HRL research has grown profoundly, resulting in copious approaches. A comprehensive overview of this vast landscape is necessary to ...
@article{DBLP:journals/csur/PateriaSTQ21, author = {Shubham Pateria and Budhitama Subagdja and Ah-Hwee Tan and Chai Quek}, title = {Hierarchical Reinforcement Learning: A Comprehensive Survey.}, journal = {ACM Comput. Surv.}, volume =...
1887556
journals/csur/DesoldaFMCC22
Human Factors in Phishing Attacks: A Systematic Literature Review.
Giuseppe Desolda, Lauren S. Ferro, Andrea Marrella, Tiziana Catarci, Maria Francesca Costabile
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
173:1-173:35
https://dblp.org/rec/journals/csur/DesoldaFMCC22
https://doi.org/10.1145/3469886
Phishing is the fraudulent attempt to obtain sensitive information by disguising oneself as a trustworthy entity in digital communication. It is a type of cyber attack often successful because users are not aware of their vulnerabilities or are unable to understand the risks. This article presents a systematic literatu...
@article{DBLP:journals/csur/DesoldaFMCC22, author = {Giuseppe Desolda and Lauren S. Ferro and Andrea Marrella and Tiziana Catarci and Maria Francesca Costabile}, title = {Human Factors in Phishing Attacks: A Systematic Literature R...
1887697
journals/csur/SpeldaS21
Human Induction in Machine Learning: A Survey of the Nexus.
Petr Spelda, Vit Stritecky
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
59:1-59:18
https://dblp.org/rec/journals/csur/SpeldaS21
https://doi.org/10.1145/3444691
As our epistemic ambitions grow, the common and scientific endeavours are becoming increasingly dependent on Machine Learning (ML). The field rests on a single experimental paradigm, which consists of splitting the available data into a training and testing set and using the latter to measure how well the trained ML mo...
@article{DBLP:journals/csur/SpeldaS21, author = {Petr Spelda and Vit Stritecky}, title = {Human Induction in Machine Learning: A Survey of the Nexus.}, journal = {ACM Comput. Surv.}, volume = {54}, number = {3}, pages = {59:1--59:18}, year = {...
1887726
journals/csur/ZadnikMVJ22
Image and Video Coding Techniques for Ultra-low Latency.
Jakub Zádník, Markku J. Mäkitalo, Jarno Vanne, Pekka Jääskeläinen
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
231:1-231:35
https://dblp.org/rec/journals/csur/ZadnikMVJ22
https://doi.org/10.1145/3512342
The next generation of wireless networks fosters the adoption of latency-critical applications such as XR, connected industry, or autonomous driving. This survey gathers implementation aspects of different image and video coding schemes and discusses their tradeoffs. Standardized video coding technologies such as HEVC ...
@article{DBLP:journals/csur/ZadnikMVJ22, author = {Jakub Zádník and Markku J. Mäkitalo and Jarno Vanne and Pekka Jääskeläinen}, title = {Image and Video Coding Techniques for Ultra-low Latency.}, journal = {ACM Comput. Surv.}, volume ...
1887516
journals/csur/Badr21
Images in Space and Time: Real Big Data in Healthcare.
Eman Badr
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
113:1-113:38
https://dblp.org/rec/journals/csur/Badr21
https://doi.org/10.1145/3453657
Medical imaging diagnosis is mostly subjective, as it depends on medical experts. Hence, the service provided is limited by expert opinion variations and image complexity as well. However, with the increasing advancements in deep learning field, techniques are developed to help in the diagnosis and risk assessment proc...
@article{DBLP:journals/csur/Badr21, author = {Eman Badr}, title = {Images in Space and Time: Real Big Data in Healthcare.}, journal = {ACM Comput. Surv.}, volume = {54}, number = {6}, pages = {113:1--113:38}, year = {2022}, url = {https://doi.org/10....
1887655
journals/csur/Navarro21a
Indexing Highly Repetitive String Collections, Part I: Repetitiveness Measures.
Gonzalo Navarro 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
29:1-29:31
https://dblp.org/rec/journals/csur/Navarro21a
https://doi.org/10.1145/3434399
Two decades ago, a breakthrough in indexing string collections made it possible to represent them within their compressed space while at the same time offering indexed search functionalities. As this new technology permeated through applications like bioinformatics, the string collections experienced a growth that outp...
@article{DBLP:journals/csur/Navarro21a, author = {Gonzalo Navarro 0001}, title = {Indexing Highly Repetitive String Collections, Part I: Repetitiveness Measures.}, journal = {ACM Comput. Surv.}, volume = {54}, number = {2}, pages = {29:1--29:31}, year = {2022},...
1887654
journals/csur/Navarro21
Indexing Highly Repetitive String Collections, Part II: Compressed Indexes.
Gonzalo Navarro 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
26:1-26:32
https://dblp.org/rec/journals/csur/Navarro21
https://doi.org/10.1145/3432999
Two decades ago, a breakthrough in indexing string collections made it possible to represent them within their compressed space while at the same time offering indexed search functionalities. As this new technology permeated through applications like bioinformatics, the string collections experienced a growth that outp...
@article{DBLP:journals/csur/Navarro21, author = {Gonzalo Navarro 0001}, title = {Indexing Highly Repetitive String Collections, Part II: Compressed Indexes.}, journal = {ACM Comput. Surv.}, volume = {54}, number = {2}, pages = {26:1--26:32}, year = {2022}, ur...
1887579
journals/csur/HarleyC21
Information Integrity: Are We There Yet?
Kelsey Harley, Rodney Cooper
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
33:1-33:35
https://dblp.org/rec/journals/csur/HarleyC21
https://doi.org/10.1145/3436817
The understanding and promotion of integrity in information security has traditionally been underemphasized or even ignored. From implantable medical devices and electronic voting to vehicle control, the critical importance of information integrity to our well-being has compelled review of its treatment in the literatu...
@article{DBLP:journals/csur/HarleyC21, author = {Kelsey Harley and Rodney Cooper}, title = {Information Integrity: Are We There Yet?}, journal = {ACM Comput. Surv.}, volume = {54}, number = {2}, pages = {33:1--33:35}, year = {2022}, url ...
1887740
journals/csur/ZouHZKWC22
Integrated Blockchain and Cloud Computing Systems: A Systematic Survey, Solutions, and Challenges.
Jinglin Zou, Debiao He, Sherali Zeadally, Neeraj Kumar 0001, Huaqun Wang, Kim-Kwang Raymond Choo
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
160:1-160:36
https://dblp.org/rec/journals/csur/ZouHZKWC22
https://doi.org/10.1145/3456628
Cloud computing is a network model of on-demand access for sharing configurable computing resource pools. Compared with conventional service architectures, cloud computing introduces new security challenges in secure service management and control, privacy protection, data integrity protection in distributed databases,...
@article{DBLP:journals/csur/ZouHZKWC22, author = {Jinglin Zou and Debiao He and Sherali Zeadally and Neeraj Kumar 0001 and Huaqun Wang and Kim-Kwang Raymond Choo}, title = {Integrated Blockchain and Cloud Computin...
1887699
journals/csur/SusungiT21
Intermediate Representations for Explicitly Parallel Programs.
Adilla Susungi, Claude Tadonki
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
100:1-100:24
https://dblp.org/rec/journals/csur/SusungiT21
https://doi.org/10.1145/3452299
While compilers generally support parallel programming languages and APIs, their internal program representations are mostly designed from the sequential programs standpoint (exceptions include source-to-source parallel compilers, for instance). This makes the integration of compilation techniques dedicated to parallel...
@article{DBLP:journals/csur/SusungiT21, author = {Adilla Susungi and Claude Tadonki}, title = {Intermediate Representations for Explicitly Parallel Programs.}, journal = {ACM Comput. Surv.}, volume = {54}, number = {5}, pages = {100:1--100:24}, year ...
1887685
journals/csur/SandhiePAC21
Investigation of Multiple-valued Logic Technologies for Beyond-binary Era.
Zarin Tasnim Sandhie, Jill Arvindbhai Patel, Farid Uddin Ahmed, Masud H. Chowdhury
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
16:1-16:30
https://dblp.org/rec/journals/csur/SandhiePAC21
https://doi.org/10.1145/3431230
Computing technologies are currently based on the binary logic/number system, which is dependent on the simple on and off switching mechanism of the prevailing transistors. With the exponential increase of data processing and storage needs, there is a strong push to move to a higher radix logic/number system that can e...
@article{DBLP:journals/csur/SandhiePAC21, author = {Zarin Tasnim Sandhie and Jill Arvindbhai Patel and Farid Uddin Ahmed and Masud H. Chowdhury}, title = {Investigation of Multiple-valued Logic Technologies for Beyond-binary Era.}, journal = ...
1887545
journals/csur/ChenLXCFT21
IoT Cloud Security Review: A Case Study Approach Using Emerging Consumer-oriented Applications.
Fei Chen 0003, Duming Luo, Tao Xiang 0001, Ping Chen, Junfeng Fan, Hong Linh Truong 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
75:1-75:36
https://dblp.org/rec/journals/csur/ChenLXCFT21
https://doi.org/10.1145/3447625
Recent years have seen the rapid development and integration of the Internet of Things (IoT) and cloud computing. The market is providing various consumer-oriented smart IoT devices; the mainstream cloud service providers are building their software stacks to support IoT services. With this emerging trend even growing,...
@article{DBLP:journals/csur/ChenLXCFT21, author = {Fei Chen 0003 and Duming Luo and Tao Xiang 0001 and Ping Chen and Junfeng Fan and Hong Linh Truong 0001}, title = {IoT Cloud Security Review: A Case Study Approac...
1887721
journals/csur/XuZHLL21
Key Generation for Internet of Things: A Contemporary Survey.
Weitao Xu, Junqing Zhang, Shunqi Huang, Chengwen Luo 0001, Wei Li 0058
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
14:1-14:37
https://dblp.org/rec/journals/csur/XuZHLL21
https://doi.org/10.1145/3429740
Key generation is a promising technique to bootstrap secure communications for the Internet of Things devices that have no prior knowledge between each other. In the past few years, a variety of key generation protocols and systems have been proposed. In this survey, we review and categorise recent key generation syste...
@article{DBLP:journals/csur/XuZHLL21, author = {Weitao Xu and Junqing Zhang and Shunqi Huang and Chengwen Luo 0001 and Wei Li 0058}, title = {Key Generation for Internet of Things: A Contemporary Survey.}, journal = {ACM Com...
1887582
journals/csur/HoganBCdMGKGNNN21
Knowledge Graphs.
Aidan Hogan, Eva Blomqvist, Michael Cochez, Claudia d'Amato, Gerard de Melo, Claudio Gutierrez 0001, Sabrina Kirrane, José Emilio Labra Gayo, Roberto Navigli, Sebastian Neumaier, Axel-Cyrille Ngonga Ngomo, Axel Polleres, Sabbir M. Rashid, Anisa Rula, Lukas Schmelzeisen, Juan F. Sequeda, Steffen Staab, Antoine Zimmerman...
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
71:1-71:37
https://dblp.org/rec/journals/csur/HoganBCdMGKGNNN21
https://doi.org/10.1145/3447772
In this article, we provide a comprehensive introduction to knowledge graphs, which have recently garnered significant attention from both industry and academia in scenarios that require exploiting diverse, dynamic, large-scale collections of data. After some opening remarks, we motivate and contrast various graph-base...
@article{DBLP:journals/csur/HoganBCdMGKGNNN21, author = {Aidan Hogan and Eva Blomqvist and Michael Cochez and Claudia d'Amato and Gerard de Melo and Claudio Gutierrez 0001 and Sabrina Kirrane and ...
1887671
journals/csur/RaviHCB21
Lattice-based Key-sharing Schemes: A Survey.
Prasanna Ravi, James Howe, Anupam Chattopadhyay, Shivam Bhasin
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
9:1-9:39
https://dblp.org/rec/journals/csur/RaviHCB21
https://doi.org/10.1145/3422178
Public-key cryptography is an indispensable component used in almost all of our present-day digital infrastructure. However, most if not all of it is predominantly built upon hardness guarantees of number theoretic problems that can be broken by large-scale quantum computers in the future. Sensing the imminent threat f...
@article{DBLP:journals/csur/RaviHCB21, author = {Prasanna Ravi and James Howe and Anupam Chattopadhyay and Shivam Bhasin}, title = {Lattice-based Key-sharing Schemes: A Survey.}, journal = {ACM Comput. Surv.}, volume = {54}, number ...
1887675
journals/csur/RibeiroN22
Left Ventricle Segmentation in Cardiac MR: A Systematic Mapping of the Past Decade.
Matheus Alberto de Oliveira Ribeiro, Fátima L. S. Nunes
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
241:1-241:38
https://dblp.org/rec/journals/csur/RibeiroN22
https://doi.org/10.1145/3517190
Left ventricle segmentation in short-axis cardiac magnetic resonance images is important to diagnose heart disease. However, repetitive manual segmentation of these images requires considerable human effort and can decrease diagnostic accuracy. In recent years, several fully and semi-automatic approaches have been prop...
@article{DBLP:journals/csur/RibeiroN22, author = {Matheus Alberto de Oliveira Ribeiro and Fátima L. S. Nunes}, title = {Left Ventricle Segmentation in Cardiac MR: A Systematic Mapping of the Past Decade.}, journal = {ACM Comput. Surv.}, volume = {54}, number = {...
1887564
journals/csur/DwivediPDDND21
Legally Enforceable Smart-Contract Languages: A Systematic Literature Review.
Vimal Kumar Dwivedi, Vishwajeet Pattanaik, Vipin Deval, Abhishek Dixit 0003, Alex Norta, Dirk Draheim
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
110:1-110:34
https://dblp.org/rec/journals/csur/DwivediPDDND21
https://doi.org/10.1145/3453475
Smart contracts are a key component of today’s blockchains. They are critical in controlling decentralized autonomous organizations (DAO). However, smart contracts are not yet legally binding nor enforceable; this makes it difficult for businesses to adopt the DAO paradigm. Therefore, this study reviews existing Smart ...
@article{DBLP:journals/csur/DwivediPDDND21, author = {Vimal Kumar Dwivedi and Vishwajeet Pattanaik and Vipin Deval and Abhishek Dixit 0003 and Alex Norta and Dirk Draheim}, title = {Legally Enforceable Smart-Contr...
1887595
journals/csur/JiangLZZXI21
Location Privacy-preserving Mechanisms in Location-based Services: A Comprehensive Survey.
Hongbo Jiang 0001, Jie Li 0058, Ping Zhao 0001, Fanzi Zeng, Zhu Xiao, Arun Iyengar
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
4:1-4:36
https://dblp.org/rec/journals/csur/JiangLZZXI21
https://doi.org/10.1145/3423165
Location-based services (LBSs) provide enhanced functionality and convenience of ubiquitous computing, but they open up new vulnerabilities that can be utilized to violate the users’ privacy. The leakage of private location data in the LBS context has drawn significant attention from academics and industry due to its i...
@article{DBLP:journals/csur/JiangLZZXI21, author = {Hongbo Jiang 0001 and Jie Li 0058 and Ping Zhao 0001 and Fanzi Zeng and Zhu Xiao and Arun Iyengar}, title = {Location Privacy-preserving Mechanisms in Location-b...
1887669
journals/csur/RanaweeraJL22
MEC-enabled 5G Use Cases: A Survey on Security Vulnerabilities and Countermeasures.
Pasika Ranaweera, Anca Jurcut, Madhusanka Liyanage
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
186:1-186:37
https://dblp.org/rec/journals/csur/RanaweeraJL22
https://doi.org/10.1145/3474552
The future of mobile and internet technologies are manifesting advancements beyond the existing scope of science. The concepts of automated driving, augmented-reality, and machine-type-communication are quite sophisticated and require an elevation of the current mobile infrastructure for launching. The fifth-generation...
@article{DBLP:journals/csur/RanaweeraJL22, author = {Pasika Ranaweera and Anca Jurcut and Madhusanka Liyanage}, title = {MEC-enabled 5G Use Cases: A Survey on Security Vulnerabilities and Countermeasures.}, journal = {ACM Comput. Surv.}, volume = {54},...
1887651
journals/csur/MurshedMHKAH22
Machine Learning at the Network Edge: A Survey.
M. G. Sarwar Murshed, Christopher Murphy, Daqing Hou, Nazar Khan, Ganesh Ananthanarayanan, Faraz Hussain 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
170:1-170:37
https://dblp.org/rec/journals/csur/MurshedMHKAH22
https://doi.org/10.1145/3469029
Resource-constrained IoT devices, such as sensors and actuators, have become ubiquitous in recent years. This has led to the generation of large quantities of data in real-time, which is an appealing target for AI systems. However, deploying machine learning models on such end-devices is nearly impossible. A typical so...
@article{DBLP:journals/csur/MurshedMHKAH22, author = {M. G. Sarwar Murshed and Christopher Murphy and Daqing Hou and Nazar Khan and Ganesh Ananthanarayanan and Faraz Hussain 0001}, title = {Machine Learning at the...
1887682
journals/csur/SabirUBG21
Machine Learning for Detecting Data Exfiltration: A Review.
Bushra Sabir, Faheem Ullah, Muhammad Ali Babar 0001, Raj Gaire 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
50:1-50:47
https://dblp.org/rec/journals/csur/SabirUBG21
https://doi.org/10.1145/3442181
Context : Research at the intersection of cybersecurity, Machine Learning (ML), and Software Engineering (SE) has recently taken significant steps in proposing countermeasures for detecting sophisticated data exfiltration attacks. It is important to systematically review and synthesize the ML-based data exfiltration co...
@article{DBLP:journals/csur/SabirUBG21, author = {Bushra Sabir and Faheem Ullah and Muhammad Ali Babar 0001 and Raj Gaire 0001}, title = {Machine Learning for Detecting Data Exfiltration: A Review.}, journal = {ACM Comput. Surv.}, volume ...
1887701
journals/csur/Talbi21a
Machine Learning into Metaheuristics: A Survey and Taxonomy.
El-Ghazali Talbi
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
129:1-129:32
https://dblp.org/rec/journals/csur/Talbi21a
https://doi.org/10.1145/3459664
During the past few years, research in applying machine learning (ML) to design efficient, effective, and robust metaheuristics has become increasingly popular. Many of those machine learning-supported metaheuristics have generated high-quality results and represent state-of-the-art optimization algorithms. Although va...
@article{DBLP:journals/csur/Talbi21a, author = {El-Ghazali Talbi}, title = {Machine Learning into Metaheuristics: A Survey and Taxonomy.}, journal = {ACM Comput. Surv.}, volume = {54}, number = {6}, pages = {129:1--129:32}, year = {2022}, url = {http...
1887638
journals/csur/MiaoCPHZX22
Machine Learning-based Cyber Attacks Targeting on Controlled Information: A Survey.
Yuantian Miao, Chao Chen 0015, Lei Pan 0002, Qing-Long Han, Jun Zhang 0010, Yang Xiang 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
139:1-139:36
https://dblp.org/rec/journals/csur/MiaoCPHZX22
https://doi.org/10.1145/3465171
Stealing attack against controlled information, along with the increasing number of information leakage incidents, has become an emerging cyber security threat in recent years. Due to the booming development and deployment of advanced analytics solutions, novel stealing attacks utilize machine learning (ML) algorithms ...
@article{DBLP:journals/csur/MiaoCPHZX22, author = {Yuantian Miao and Chao Chen 0015 and Lei Pan 0002 and Qing-Long Han and Jun Zhang 0010 and Yang Xiang 0001}, title = {Machine Learning-based Cyber Attacks Targeti...
1887737
journals/csur/ZhongXRXB22
Machine Learning-based Orchestration of Containers: A Taxonomy and Future Directions.
Zhiheng Zhong, Minxian Xu, Maria Alejandra Rodriguez, Cheng-Zhong Xu 0001, Rajkumar Buyya
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
217:1-217:35
https://dblp.org/rec/journals/csur/ZhongXRXB22
https://doi.org/10.1145/3510415
Containerization is a lightweight application virtualization technology, providing high environmental consistency, operating system distribution portability, and resource isolation. Existing mainstream cloud service providers have prevalently adopted container technologies in their distributed system infrastructures fo...
@article{DBLP:journals/csur/ZhongXRXB22, author = {Zhiheng Zhong and Minxian Xu and Maria Alejandra Rodriguez and Cheng-Zhong Xu 0001 and Rajkumar Buyya}, title = {Machine Learning-based Orchestration of Containers: A Taxonomy and ...
1887623
journals/csur/MagalhaesMB21
Main Memory Database Recovery: A Survey.
Arlino Magalhães, José Maria Monteiro, Angelo Brayner
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
46:1-46:36
https://dblp.org/rec/journals/csur/MagalhaesMB21
https://doi.org/10.1145/3442197
Many of today’s applications need massive real-time data processing. In-memory database systems have become a good alternative for these requirements. These systems maintain the primary copy of the database in the main memory to achieve high throughput rates and low latency. However, a database in RAM is more vulnerabl...
@article{DBLP:journals/csur/MagalhaesMB21, author = {Arlino Magalhães and José Maria Monteiro and Angelo Brayner}, title = {Main Memory Database Recovery: A Survey.}, journal = {ACM Comput. Surv.}, volume = {54}, number = {2}, pages = ...
1887696
journals/csur/SouzaMNK22
Measuring Presence in Virtual Environments: A Survey.
Vinicius Costa de Souza, Anderson Maciel, Luciana Porcher Nedel, Regis Kopper
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
163:1-163:37
https://dblp.org/rec/journals/csur/SouzaMNK22
https://doi.org/10.1145/3466817
The effectiveness of a virtual reality experience is strongly affected by the sense of presence of the users involved. This article reviews the different definitions of presence and the main proposed methods to measure it through the analysis of 1,214 papers published in the past 30 years. From the analysis of 239 user...
@article{DBLP:journals/csur/SouzaMNK22, author = {Vinicius Costa de Souza and Anderson Maciel and Luciana Porcher Nedel and Regis Kopper}, title = {Measuring Presence in Virtual Environments: A Survey.}, journal = {ACM Comput. Surv.}, volum...
1887584
journals/csur/HuSSDYZ22
Membership Inference Attacks on Machine Learning: A Survey.
Hongsheng Hu, Zoran Salcic, Lichao Sun 0001, Gillian Dobbie, Philip S. Yu, Xuyun Zhang
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
235:1-235:37
https://dblp.org/rec/journals/csur/HuSSDYZ22
https://doi.org/10.1145/3523273
Machine learning (ML) models have been widely applied to various applications, including image classification, text generation, audio recognition, and graph data analysis. However, recent studies have shown that ML models are vulnerable to membership inference attacks (MIAs), which aim to infer whether a data record wa...
@article{DBLP:journals/csur/HuSSDYZ22, author = {Hongsheng Hu and Zoran Salcic and Lichao Sun 0001 and Gillian Dobbie and Philip S. Yu and Xuyun Zhang}, title = {Membership Inference Attacks on Machine Learning: A...
1887537
journals/csur/CelesBL21
Mobility Trace Analysis for Intelligent Vehicular Networks: Methods, Models, and Applications.
Clayson Celes, Azzedine Boukerche, Antonio A. F. Loureiro
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
49:1-49:38
https://dblp.org/rec/journals/csur/CelesBL21
https://doi.org/10.1145/3446679
Intelligent vehicular networks emerge as a promising technology to provide efficient data communication in transportation systems and smart cities. At the same time, the popularization of devices with attached sensors has allowed the obtaining of a large volume of data with spatiotemporal information from different ent...
@article{DBLP:journals/csur/CelesBL21, author = {Clayson Celes and Azzedine Boukerche and Antonio A. F. Loureiro}, title = {Mobility Trace Analysis for Intelligent Vehicular Networks: Methods, Models, and Applications.}, journal = {ACM Comput. Surv.}, volume...
1887733
journals/csur/ZhangZXZY22
More than Privacy: Adopting Differential Privacy in Game-theoretic Mechanism Design.
Lefeng Zhang, Tianqing Zhu, Ping Xiong 0001, Wanlei Zhou 0001, Philip S. Yu
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
136:1-136:37
https://dblp.org/rec/journals/csur/ZhangZXZY22
https://doi.org/10.1145/3460771
The vast majority of artificial intelligence solutions are founded on game theory, and differential privacy is emerging as perhaps the most rigorous and widely adopted privacy paradigm in the field. However, alongside all the advancements made in both these fields, there is not a single application that is not still vu...
@article{DBLP:journals/csur/ZhangZXZY22, author = {Lefeng Zhang and Tianqing Zhu and Ping Xiong 0001 and Wanlei Zhou 0001 and Philip S. Yu}, title = {More than Privacy: Adopting Differential Privacy in Game-theoretic Mechanism Desi...
1887628
journals/csur/MartinMGMS22
Multimodality in VR: A Survey.
Daniel Martin, Sandra Malpica, Diego Gutierrez, Belén Masiá, Ana Serrano
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
216:1-216:36
https://dblp.org/rec/journals/csur/MartinMGMS22
https://doi.org/10.1145/3508361
Virtual reality (VR) is rapidly growing, with the potential to change the way we create and consume content. In VR, users integrate multimodal sensory information they receive to create a unified perception of the virtual world. In this survey, we review the body of work addressing multimodality in VR and its role and ...
@article{DBLP:journals/csur/MartinMGMS22, author = {Daniel Martin and Sandra Malpica and Diego Gutierrez and Belén Masiá and Ana Serrano}, title = {Multimodality in VR: A Survey.}, journal = {ACM Comput. Surv.}, volume ...
1887653
journals/csur/NasarJM21
Named Entity Recognition and Relation Extraction: State-of-the-Art.
Zara Nasar, Syed Waqar Jaffry, Muhammad Kamran Malik
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
20:1-20:39
https://dblp.org/rec/journals/csur/NasarJM21
https://doi.org/10.1145/3445965
With the advent of Web 2.0, there exist many online platforms that result in massive textual-data production. With ever-increasing textual data at hand, it is of immense importance to extract information nuggets from this data. One approach towards effective harnessing of this unstructured textual data could be its tra...
@article{DBLP:journals/csur/NasarJM21, author = {Zara Nasar and Syed Waqar Jaffry and Muhammad Kamran Malik}, title = {Named Entity Recognition and Relation Extraction: State-of-the-Art.}, journal = {ACM Comput. Surv.}, volume = {54}, number = ...
1887735
journals/csur/ZhaoAFLACB21
Natural Language Processing for Requirements Engineering: A Systematic Mapping Study.
Liping Zhao 0001, Waad Alhoshan, Alessio Ferrari 0001, Keletso J. Letsholo, Muideen A. Ajagbe, Erol-Valeriu Chioasca, Riza Theresa Batista-Navarro
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
55:1-55:41
https://dblp.org/rec/journals/csur/ZhaoAFLACB21
https://doi.org/10.1145/3444689
Natural Language Processing for Requirements Engineering (NLP4RE) is an area of research and development that seeks to apply natural language processing (NLP) techniques, tools, and resources to the requirements engineering (RE) process, to support human analysts to carry out various linguistic analysis tasks on textua...
@article{DBLP:journals/csur/ZhaoAFLACB21, author = {Liping Zhao 0001 and Waad Alhoshan and Alessio Ferrari 0001 and Keletso J. Letsholo and Muideen A. Ajagbe and Erol-Valeriu Chioasca and Riza Theresa Bat...
1887594
journals/csur/Jiang21
Networking in Oceans: A Survey.
Shengming Jiang
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
13:1-13:33
https://dblp.org/rec/journals/csur/Jiang21
https://doi.org/10.1145/3428147
The ocean is a huge saltwater body that is different from terrestrial environments in terms of deployment circumstance, weather conditions, and user distributions. Therefore, it is difficult to apply terrestrial networking technologies directly in oceans. The cost-effectiveness of satellites is still an issue to be add...
@article{DBLP:journals/csur/Jiang21, author = {Shengming Jiang}, title = {Networking in Oceans: A Survey.}, journal = {ACM Comput. Surv.}, volume = {54}, number = {1}, pages = {13:1--13:33}, year = {2022}, url = {https://doi.org/10.1145/3428147}, d...
1887530
journals/csur/BoukercheZ21
Object Detection Using Deep Learning Methods in Traffic Scenarios.
Azzedine Boukerche, Hou Zhijun
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
30:1-30:35
https://dblp.org/rec/journals/csur/BoukercheZ21
https://doi.org/10.1145/3434398
The recent boom of autonomous driving nowadays has made object detection in traffic scenes a hot topic of research. Designed to classify and locate instances in the image, this is a basic but challenging task in the computer vision field. With its powerful feature extraction abilities, which are vital for object detect...
@article{DBLP:journals/csur/BoukercheZ21, author = {Azzedine Boukerche and Hou Zhijun}, title = {Object Detection Using Deep Learning Methods in Traffic Scenarios.}, journal = {ACM Comput. Surv.}, volume = {54}, number = {2}, pages = {30:1--30:35}, ye...
1887658
journals/csur/OikonomouKAK21
On the Use of Intelligent Models towards Meeting the Challenges of the Edge Mesh.
Panagiotis Oikonomou, Anna Karanika, Christos Anagnostopoulos 0001, Kostas Kolomvatsos
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
125:1-125:42
https://dblp.org/rec/journals/csur/OikonomouKAK21
https://doi.org/10.1145/3456630
Nowadays, we are witnessing the advent of the Internet of Things (IoT) with numerous devices performing interactions between them or with their environment. The huge number of devices leads to huge volumes of data that demand the appropriate processing. The “legacy” approach is to rely on Cloud where increased computat...
@article{DBLP:journals/csur/OikonomouKAK21, author = {Panagiotis Oikonomou and Anna Karanika and Christos Anagnostopoulos 0001 and Kostas Kolomvatsos}, title = {On the Use of Intelligent Models towards Meeting the Challenges of the Edge Mesh.}, jo...
1887542
journals/csur/Chefrour22
One-Way Delay Measurement From Traditional Networks to SDN: A Survey.
Djalel Chefrour
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
156:1-156:35
https://dblp.org/rec/journals/csur/Chefrour22
https://doi.org/10.1145/3466167
We expose the state of the art in the topic of one-way delay measurement in both traditional and software-defined networks. A representative range of standard mechanisms and recent research works, including OpenFlow and Programming Protocol-independent Packet Processors (P4)-based schemes, are covered. We classify them...
@article{DBLP:journals/csur/Chefrour22, author = {Djalel Chefrour}, title = {One-Way Delay Measurement From Traditional Networks to SDN: A Survey.}, journal = {ACM Comput. Surv.}, volume = {54}, number = {7}, pages = {156:1--156:35}, year = {2022}, url ...
1887617
journals/csur/LiuXLGYG22
Opportunities and Challenges in Code Search Tools.
Chao Liu 0014, Xin Xia 0001, David Lo 0001, Cuiyun Gao 0001, Xiaohu Yang 0001, John C. Grundy
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
196:1-196:40
https://dblp.org/rec/journals/csur/LiuXLGYG22
https://doi.org/10.1145/3480027
Code search is a core software engineering task. Effective code search tools can help developers substantially improve their software development efficiency and effectiveness. In recent years, many code search studies have leveraged different techniques, such as deep learning and information retrieval approaches, to re...
@article{DBLP:journals/csur/LiuXLGYG22, author = {Chao Liu 0014 and Xin Xia 0001 and David Lo 0001 and Cuiyun Gao 0001 and Xiaohu Yang 0001 and John C. Grundy}, title = {Opportunities and Challenges in Code Search...
1887681
journals/csur/RussoS21
PLS-SEM for Software Engineering Research: An Introduction and Survey.
Daniel Russo 0002, Klaas-Jan Stol
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
78:1-78:38
https://dblp.org/rec/journals/csur/RussoS21
https://doi.org/10.1145/3447580
Software Engineering (SE) researchers are increasingly paying attention to organizational and human factors. Rather than focusing only on variables that can be directly measured, such as lines of code, SE research studies now also consider unobservable variables, such as organizational culture and trust. To measure suc...
@article{DBLP:journals/csur/RussoS21, author = {Daniel Russo 0002 and Klaas-Jan Stol}, title = {PLS-SEM for Software Engineering Research: An Introduction and Survey.}, journal = {ACM Comput. Surv.}, volume = {54}, number = {4}, pages = {78:1--78:38}, ...
1887517
journals/csur/BaldassinBCR22
Persistent Memory: A Survey of Programming Support and Implementations.
Alexandro Baldassin, João Barreto 0001, Daniel Castro 0004, Paolo Romano 0002
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
152:1-152:37
https://dblp.org/rec/journals/csur/BaldassinBCR22
https://doi.org/10.1145/3465402
The recent rise of byte-addressable non-volatile memory technologies is blurring the dichotomy between memory and storage. In particular, they allow programmers to have direct access to persistent data instead of relying on traditional interfaces, such as file and database systems. However, they also bring new challeng...
@article{DBLP:journals/csur/BaldassinBCR22, author = {Alexandro Baldassin and João Barreto 0001 and Daniel Castro 0004 and Paolo Romano 0002}, title = {Persistent Memory: A Survey of Programming Support and Implementations.}, journal = {ACM C...
1887684
journals/csur/SanchezB22
Point-of-Interest Recommender Systems Based on Location-Based Social Networks: A Survey from an Experimental Perspective.
Pablo Sánchez 0001, Alejandro Bellogín
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
223:1-223:37
https://dblp.org/rec/journals/csur/SanchezB22
https://doi.org/10.1145/3510409
Point-of-Interest recommendation is an area of increasing research and development interest within the widely adopted technologies known as Recommender Systems. Among them, those that exploit information coming from Location-Based Social Networks are very popular nowadays and could work with different information sourc...
@article{DBLP:journals/csur/SanchezB22, author = {Pablo Sánchez 0001 and Alejandro Bellogín}, title = {Point-of-Interest Recommender Systems Based on Location-Based Social Networks: A Survey from an Experimental Perspective.}, journal = {ACM Comput. Surv.}, volume = {54...
1887644
journals/csur/MirzaSKM21
Potential Deep Learning Solutions to Persistent and Emerging Big Data Challenges - A Practitioners' Cookbook.
Behroz Mirza, Tahir Q. Syed, Behraj Khan, Muhammad Yameen Malik
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
10:1-10:39
https://dblp.org/rec/journals/csur/MirzaSKM21
https://doi.org/10.1145/3427476
The phenomenon of Big Data continues to present moving targets for the scientific and technological state-of-the-art. This work demonstrates that the solution space of these challenges has expanded with deep learning now moving beyond traditional applications in computer vision and natural language processing to divers...
@article{DBLP:journals/csur/MirzaSKM21, author = {Behroz Mirza and Tahir Q. Syed and Behraj Khan and Muhammad Yameen Malik}, title = {Potential Deep Learning Solutions to Persistent and Emerging Big Data Challenges - A Practitioners' Cookbook.}, j...
1887569
journals/csur/GewersFASCAC21
Principal Component Analysis: A Natural Approach to Data Exploration.
Felipe L. Gewers, Gustavo R. Ferreira, Henrique Ferraz de Arruda, Filipi Nascimento Silva, Cesar H. Comin, Diego R. Amancio, Luciano da Fontoura Costa
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
70:1-70:34
https://dblp.org/rec/journals/csur/GewersFASCAC21
https://doi.org/10.1145/3447755
Principal component analysis (PCA) is often applied for analyzing data in the most diverse areas. This work reports, in an accessible and integrated manner, several theoretical and practical aspects of PCA. The basic principles underlying PCA, data standardization, possible visualizations of the PCA results, and outlie...
@article{DBLP:journals/csur/GewersFASCAC21, author = {Felipe L. Gewers and Gustavo R. Ferreira and Henrique Ferraz de Arruda and Filipi Nascimento Silva and Cesar H. Comin and Diego R. Amancio and Luciano...
1887509
journals/csur/AljeraisyBRP21
Privacy Laws and Privacy by Design Schemes for the Internet of Things: A Developer's Perspective.
Atheer Aljeraisy, Masoud Barati, Omer F. Rana, Charith Perera
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
102:1-102:38
https://dblp.org/rec/journals/csur/AljeraisyBRP21
https://doi.org/10.1145/3450965
Internet of Things applications have the potential to derive sensitive information about individuals. Therefore, developers must exercise due diligence to make sure that data are managed according to the privacy regulations and data protection laws. However, doing so can be a difficult and challenging task. Recent rese...
@article{DBLP:journals/csur/AljeraisyBRP21, author = {Atheer Aljeraisy and Masoud Barati and Omer F. Rana and Charith Perera}, title = {Privacy Laws and Privacy by Design Schemes for the Internet of Things: A Developer's Perspective.}, journal ...
1887683
journals/csur/SalamSO21
Probabilistic Rule Learning Systems: A Survey.
Abdus Salam, Rolf Schwitter, Mehmet A. Orgun
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
79:1-79:16
https://dblp.org/rec/journals/csur/SalamSO21
https://doi.org/10.1145/3447581
This survey provides an overview of rule learning systems that can learn the structure of probabilistic rules for uncertain domains. These systems are very useful in such domains because they can be trained with a small amount of positive and negative examples, use declarative representations of background knowledge, a...
@article{DBLP:journals/csur/SalamSO21, author = {Abdus Salam and Rolf Schwitter and Mehmet A. Orgun}, title = {Probabilistic Rule Learning Systems: A Survey.}, journal = {ACM Comput. Surv.}, volume = {54}, number = {4}, pages = {79:1--...
1887633
journals/csur/McIntoshKCNW22
Ransomware Mitigation in the Modern Era: A Comprehensive Review, Research Challenges, and Future Directions.
Timothy R. McIntosh, A. S. M. Kayes, Yi-Ping Phoebe Chen, Alex Ng, Paul A. Watters
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
197:1-197:36
https://dblp.org/rec/journals/csur/McIntoshKCNW22
https://doi.org/10.1145/3479393
Although ransomware has been around since the early days of personal computers, its sophistication and aggression have increased substantially over the years. Ransomware, as a type of malware to extort ransom payments from victims, has evolved to deliver payloads in different attack vectors and on multiple platforms, a...
@article{DBLP:journals/csur/McIntoshKCNW22, author = {Timothy R. McIntosh and A. S. M. Kayes and Yi-Ping Phoebe Chen and Alex Ng and Paul A. Watters}, title = {Ransomware Mitigation in the Modern Era: A Comprehensive Review, Resear...
1887621
journals/csur/LuengoG21
Recommendations on Statistical Randomness Test Batteries for Cryptographic Purposes.
Elena Almaraz Luengo, Luis Javier García-Villalba
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
80:1-80:34
https://dblp.org/rec/journals/csur/LuengoG21
https://doi.org/10.1145/3447773
Security in different applications is closely related to the goodness of the sequences generated for such purposes. Not only in Cryptography but also in other areas, it is necessary to obtain long sequences of random numbers or that, at least, behave as such. To decide whether the generator used produces sequences that...
@article{DBLP:journals/csur/LuengoG21, author = {Elena Almaraz Luengo and Luis Javier García-Villalba}, title = {Recommendations on Statistical Randomness Test Batteries for Cryptographic Purposes.}, journal = {ACM Comput. Surv.}, volume = {54}, number = {4}, ...
1887605
journals/csur/LalapuraAS21
Recurrent Neural Networks for Edge Intelligence: A Survey.
Varsha S. Lalapura, Joseph Amudha, Hariramn Selvamuruga Satheesh
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
91:1-91:38
https://dblp.org/rec/journals/csur/LalapuraAS21
https://doi.org/10.1145/3448974
Recurrent Neural Networks are ubiquitous and pervasive in many artificial intelligence applications such as speech recognition, predictive healthcare, creative art, and so on. Although they provide accurate superior solutions, they pose a massive challenge “training havoc.” Current expansion of IoT demands intelligent ...
@article{DBLP:journals/csur/LalapuraAS21, author = {Varsha S. Lalapura and Joseph Amudha and Hariramn Selvamuruga Satheesh}, title = {Recurrent Neural Networks for Edge Intelligence: A Survey.}, journal = {ACM Comput. Surv.}, volume = {54}, number ...
1887531
journals/csur/BoyarFL21
Relative Worst-order Analysis: A Survey.
Joan Boyar, Lene M. Favrholdt, Kim S. Larsen
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
8:1-8:21
https://dblp.org/rec/journals/csur/BoyarFL21
https://doi.org/10.1145/3425910
The standard measure for the quality of online algorithms is the competitive ratio. This measure is generally applicable, and for some problems it works well, but for others it fails to distinguish between algorithms that have very different performance. Thus, ever since its introduction, researchers have worked on imp...
@article{DBLP:journals/csur/BoyarFL21, author = {Joan Boyar and Lene M. Favrholdt and Kim S. Larsen}, title = {Relative Worst-order Analysis: A Survey.}, journal = {ACM Comput. Surv.}, volume = {54}, number = {1}, pages = {8:1--8:21}, ...
1887711
journals/csur/VyasPS21
Relay-based Communications in WBANs: A Comprehensive Survey.
Avani Vyas, Sujata Pal, Barun Kumar Saha
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
2:1-2:34
https://dblp.org/rec/journals/csur/VyasPS21
https://doi.org/10.1145/3423164
Wireless Body Area Networks (WBANs) constitute an emerging technology in the field of health care that makes health monitoring possible from one’s home itself. WBANs open many challenges by placing sensors on/inside human bodies for collecting various health-related information. Unlike traditional Wireless Sensor Netwo...
@article{DBLP:journals/csur/VyasPS21, author = {Avani Vyas and Sujata Pal and Barun Kumar Saha}, title = {Relay-based Communications in WBANs: A Comprehensive Survey.}, journal = {ACM Comput. Surv.}, volume = {54}, number = {1}, pages ...
1887592
journals/csur/JamilISMB22
Resource Allocation and Task Scheduling in Fog Computing and Internet of Everything Environments: A Taxonomy, Review, and Future Directions.
Bushra Jamil, Humaira Ijaz, Mohammad Shojafar, Kashif Munir, Rajkumar Buyya
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
233:1-233:38
https://dblp.org/rec/journals/csur/JamilISMB22
https://doi.org/10.1145/3513002
The Internet of Everything paradigm is being rapidly adopted in developing applications for different domains like smart agriculture, smart city, big data streaming, and so on. These IoE applications are leveraging cloud computing resources for execution. Fog computing, which emerged as an extension of cloud computing,...
@article{DBLP:journals/csur/JamilISMB22, author = {Bushra Jamil and Humaira Ijaz and Mohammad Shojafar and Kashif Munir and Rajkumar Buyya}, title = {Resource Allocation and Task Scheduling in Fog Computing and Internet of Everythi...
1887536
journals/csur/CardelliniPNR22
Runtime Adaptation of Data Stream Processing Systems: The State of the Art.
Valeria Cardellini, Francesco Lo Presti, Matteo Nardelli 0001, Gabriele Russo Russo
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
237:1-237:36
https://dblp.org/rec/journals/csur/CardelliniPNR22
https://doi.org/10.1145/3514496
Data stream processing (DSP) has emerged over the years as the reference paradigm for the analysis of continuous and fast information flows, which often have to be processed with low-latency requirements to extract insights and knowledge from raw data. Dealing with unbounded dataflows, DSP applications are typically lo...
@article{DBLP:journals/csur/CardelliniPNR22, author = {Valeria Cardellini and Francesco Lo Presti and Matteo Nardelli 0001 and Gabriele Russo Russo}, title = {Runtime Adaptation of Data Stream Processing Systems: The State of the Art.}, journal ...
1887640
journals/csur/MinGZYZCC22
Screen Content Quality Assessment: Overview, Benchmark, and Beyond.
Xiongkuo Min, Ke Gu 0001, Guangtao Zhai, Xiaokang Yang 0001, Wenjun Zhang 0001, Patrick Le Callet, Chang Wen Chen
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
187:1-187:36
https://dblp.org/rec/journals/csur/MinGZYZCC22
https://doi.org/10.1145/3470970
Screen content, which is often computer-generated, has many characteristics distinctly different from conventional camera-captured natural scene content. Such characteristic differences impose major challenges to the corresponding content quality assessment, which plays a critical role to ensure and improve the final u...
@article{DBLP:journals/csur/MinGZYZCC22, author = {Xiongkuo Min and Ke Gu 0001 and Guangtao Zhai and Xiaokang Yang 0001 and Wenjun Zhang 0001 and Patrick Le Callet and Chang Wen Chen}, title = {S...
1887566
journals/csur/FeiYDX21
Security Vulnerabilities of SGX and Countermeasures: A Survey.
Shufan Fei, Zheng Yan 0002, Wenxiu Ding, Haomeng Xie
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
126:1-126:36
https://dblp.org/rec/journals/csur/FeiYDX21
https://doi.org/10.1145/3456631
Trusted Execution Environments (TEEs) have been widely used in many security-critical applications. The popularity of TEEs derives from its high security and trustworthiness supported by secure hardware. Intel Software Guard Extensions (SGX) is one of the most representative TEEs that creates an isolated environment on...
@article{DBLP:journals/csur/FeiYDX21, author = {Shufan Fei and Zheng Yan 0002 and Wenxiu Ding and Haomeng Xie}, title = {Security Vulnerabilities of SGX and Countermeasures: A Survey.}, journal = {ACM Comput. Surv.}, volume = {54}, ...
1887523
journals/csur/BernalCPBB21
Security in Brain-Computer Interfaces: State-of-the-Art, Opportunities, and Future Challenges.
Sergio López Bernal, Alberto Huertas Celdrán, Gregorio Martínez Pérez, Michael Taynnan Barros, Sasitharan Balasubramaniam
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
11:1-11:35
https://dblp.org/rec/journals/csur/BernalCPBB21
https://doi.org/10.1145/3427376
Brain-Computer Interfaces (BCIs) have significantly improved the patients’ quality of life by restoring damaged hearing, sight, and movement capabilities. After evolving their application scenarios, the current trend of BCI is to enable new innovative brain-to-brain and brain-to-the-Internet communication paradigms. Th...
@article{DBLP:journals/csur/BernalCPBB21, author = {Sergio López Bernal and Alberto Huertas Celdrán and Gregorio Martínez Pérez and Michael Taynnan Barros and Sasitharan Balasubramaniam}, title = {Security in Brain-Computer Interfa...
1887678
journals/csur/RidolfiKBWJP21
Self-calibration and Collaborative Localization for UWB Positioning Systems: A Survey and Future Research Directions.
Matteo Ridolfi, Abdil Kaya, Rafael Berkvens, Maarten Weyn, Wout Joseph, Eli De Poorter
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
88:1-88:27
https://dblp.org/rec/journals/csur/RidolfiKBWJP21
https://doi.org/10.1145/3448303
Ultra-Wideband (UWB) is a Radio Frequency technology that is currently used for accurate indoor localization. However, the cost of deploying such a system is large, mainly due to the need for manually measuring the exact location of the installed infrastructure devices (“anchor nodes”). Self-calibration of UWB reduces ...
@article{DBLP:journals/csur/RidolfiKBWJP21, author = {Matteo Ridolfi and Abdil Kaya and Rafael Berkvens and Maarten Weyn and Wout Joseph and Eli De Poorter}, title = {Self-calibration and Collaborative Localizatio...
1887702
journals/csur/TamineG22
Semantic Information Retrieval on Medical Texts: Research Challenges, Survey, and Open Issues.
Lynda Tamine, Lorraine Goeuriot
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
146:1-146:38
https://dblp.org/rec/journals/csur/TamineG22
https://doi.org/10.1145/3462476
The explosive growth and widespread accessibility of medical information on the Internet have led to a surge of research activity in a wide range of scientific communities including health informatics and information retrieval (IR). One of the common concerns of this research, across these disciplines, is how to design...
@article{DBLP:journals/csur/TamineG22, author = {Lynda Tamine and Lorraine Goeuriot}, title = {Semantic Information Retrieval on Medical Texts: Research Challenges, Survey, and Open Issues.}, journal = {ACM Comput. Surv.}, volume = {54}, number = {7}, pages ...
1887692
journals/csur/ShafieiKM22
Serverless Computing: A Survey of Opportunities, Challenges, and Applications.
Hossein Shafiei, Ahmad Khonsari, Payam Mousavi
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
239:1-239:32
https://dblp.org/rec/journals/csur/ShafieiKM22
https://doi.org/10.1145/3510611
The emerging serverless computing paradigm has attracted attention from both academia and industry. This paradigm brings benefits such as less operational complexity, a pay-as-you-go pricing model, and an auto-scaling feature. The paradigm opens up new opportunities and challenges for cloud application developers. In t...
@article{DBLP:journals/csur/ShafieiKM22, author = {Hossein Shafiei and Ahmad Khonsari and Payam Mousavi}, title = {Serverless Computing: A Survey of Opportunities, Challenges, and Applications.}, journal = {ACM Comput. Surv.}, volume = {54}, number ...
1887693
journals/csur/SiqueiraD22
Service Computing for Industry 4.0: State of the Art, Challenges, and Research Opportunities.
Frank Siqueira, Joseph G. Davis
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
188:1-188:38
https://dblp.org/rec/journals/csur/SiqueiraD22
https://doi.org/10.1145/3478680
Recent advances in the large-scale adoption of information and communication technologies in manufacturing processes, known as Industry 4.0 or Smart Manufacturing, provide us a window into how the manufacturing sector will evolve in the coming decades. As a result of these initiatives, manufacturing firms have started ...
@article{DBLP:journals/csur/SiqueiraD22, author = {Frank Siqueira and Joseph G. Davis}, title = {Service Computing for Industry 4.0: State of the Art, Challenges, and Research Opportunities.}, journal = {ACM Comput. Surv.}, volume = {54}, number = {9}, pages ...
1887709
journals/csur/Varela-VacaQ21
Smart Contract Languages: A Multivocal Mapping Study.
Ángel Jesús Varela-Vaca, Antonia M. Reina Quintero
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
3:1-3:38
https://dblp.org/rec/journals/csur/Varela-VacaQ21
https://doi.org/10.1145/3423166
Blockchain is a disruptive technology that has attracted the attention of the scientific community and companies, as proven by the exponential growth of publications on this topic in recent years. This growing interest is mainly due to the promise that the use of blockchain enables it to be verified, without including ...
@article{DBLP:journals/csur/Varela-VacaQ21, author = {Ángel Jesús Varela-Vaca and Antonia M. Reina Quintero}, title = {Smart Contract Languages: A Multivocal Mapping Study.}, journal = {ACM Comput. Surv.}, volume = {54}, number = {1}, pages = {3:1--3:38...
1887506
journals/csur/AlharbiDYTK21
Social Media Identity Deception Detection: A Survey.
Ahmed Alharbi, Hai Dong, Xun Yi, Zahir Tari, Ibrahim Khalil 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
69:1-69:35
https://dblp.org/rec/journals/csur/AlharbiDYTK21
https://doi.org/10.1145/3446372
Social media have been growing rapidly and become essential elements of many people’s lives. Meanwhile, social media have also come to be a popular source for identity deception. Many social media identity deception cases have arisen over the past few years. Recent studies have been conducted to prevent and detect iden...
@article{DBLP:journals/csur/AlharbiDYTK21, author = {Ahmed Alharbi and Hai Dong and Xun Yi and Zahir Tari and Ibrahim Khalil 0001}, title = {Social Media Identity Deception Detection: A Survey.}, journal = {ACM Comput. Surv....
1887526
journals/csur/BluemkeM21
Software Testing Effort Estimation and Related Problems: A Systematic Literature Review.
Ilona Bluemke, Agnieszka Malanowska
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
53:1-53:38
https://dblp.org/rec/journals/csur/BluemkeM21
https://doi.org/10.1145/3442694
Although testing effort estimation is a very important task in software project management, it is rarely described in the literature. There are many difficulties in finding any useful methods or tools for this purpose. Solutions to many other problems related to testing effort calculation are published much more often....
@article{DBLP:journals/csur/BluemkeM21, author = {Ilona Bluemke and Agnieszka Malanowska}, title = {Software Testing Effort Estimation and Related Problems: A Systematic Literature Review.}, journal = {ACM Comput. Surv.}, volume = {54}, number = {3}, pages ...
1887656
journals/csur/NguyenJCD21
Survey of Post-OCR Processing Approaches.
Thi Tuyet Hai Nguyen, Adam Jatowt, Mickaël Coustaty, Antoine Doucet
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
124:1-124:37
https://dblp.org/rec/journals/csur/NguyenJCD21
https://doi.org/10.1145/3453476
Optical character recognition (OCR) is one of the most popular techniques used for converting printed documents into machine-readable ones. While OCR engines can do well with modern text, their performance is unfortunately significantly reduced on historical materials. Additionally, many texts have already been process...
@article{DBLP:journals/csur/NguyenJCD21, author = {Thi Tuyet Hai Nguyen and Adam Jatowt and Mickaël Coustaty and Antoine Doucet}, title = {Survey of Post-OCR Processing Approaches.}, journal = {ACM Comput. Surv.}, volume = {54}, num...
1887720
journals/csur/XiongS21
Survey of Transient Execution Attacks and Their Mitigations.
Wenjie Xiong 0001, Jakub Szefer
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
54:1-54:36
https://dblp.org/rec/journals/csur/XiongS21
https://doi.org/10.1145/3442479
Transient execution attacks, also known as speculative execution attacks, have drawn much interest in the last few years as they can cause critical data leakage. Since the first disclosure of Spectre and Meltdown attacks in January 2018, a number of new transient execution attack types have been demonstrated targeting ...
@article{DBLP:journals/csur/XiongS21, author = {Wenjie Xiong 0001 and Jakub Szefer}, title = {Survey of Transient Execution Attacks and Their Mitigations.}, journal = {ACM Comput. Surv.}, volume = {54}, number = {3}, pages = {54:1--54:36}, year ...
1887559
journals/csur/DotanPSTZ21
Survey on Blockchain Networking: Context, State-of-the-Art, Challenges.
Maya Dotan, Yvonne-Anne Pignolet, Stefan Schmid 0001, Saar Tochner, Aviv Zohar
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
107:1-107:34
https://dblp.org/rec/journals/csur/DotanPSTZ21
https://doi.org/10.1145/3453161
Blockchains, in general, and cryptocurrencies such as Bitcoin, in particular, are realized using distributed systems and hence critically rely on the performance and security of the interconnecting network. The requirements on these networks and their usage, however, can differ significantly from traditional communicat...
@article{DBLP:journals/csur/DotanPSTZ21, author = {Maya Dotan and Yvonne-Anne Pignolet and Stefan Schmid 0001 and Saar Tochner and Aviv Zohar}, title = {Survey on Blockchain Networking: Context, State-of-the-Art, Challenges.}, jo...
1887642
journals/csur/MinaevaH21
Survey on Periodic Scheduling for Time-triggered Hard Real-time Systems.
Anna Minaeva, Zdenek Hanzálek
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
23:1-23:32
https://dblp.org/rec/journals/csur/MinaevaH21
https://doi.org/10.1145/3431232
This survey covers the basic principles and related works addressing the time-triggered scheduling of periodic tasks with deadlines. The wide range of applications and the increasing complexity of modern real-time systems result in the continually growing interest in this topic. However, the articles in this field appe...
@article{DBLP:journals/csur/MinaevaH21, author = {Anna Minaeva and Zdenek Hanzálek}, title = {Survey on Periodic Scheduling for Time-triggered Hard Real-time Systems.}, journal = {ACM Comput. Surv.}, volume = {54}, number = {1}, pages = {23:1--23:32}, ...
1887514
journals/csur/AstolfiRPMP21
Syntactic Pattern Recognition in Computer Vision: A Systematic Review.
Gilberto Astolfi, Fábio Prestes Cesar Rezende, João Vitor de Andrade Porto, Edson Takashi Matsubara, Hemerson Pistori
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
65:1-65:35
https://dblp.org/rec/journals/csur/AstolfiRPMP21
https://doi.org/10.1145/3447241
Using techniques derived from the syntactic methods for visual pattern recognition is not new and was much explored in the area called syntactical or structural pattern recognition. Syntactic methods have been useful because they are intuitively simple to understand and have transparent, interpretable, and elegant repr...
@article{DBLP:journals/csur/AstolfiRPMP21, author = {Gilberto Astolfi and Fábio Prestes Cesar Rezende and João Vitor de Andrade Porto and Edson Takashi Matsubara and Hemerson Pistori}, title = {Syntactic Pattern Recognition in Comp...
1887576
journals/csur/GumielOCGPBC22
Temporal Relation Extraction in Clinical Texts: A Systematic Review.
Yohan Bonescki Gumiel, Lucas Emanuel Silva e Oliveira, Vincent Claveau, Natalia Grabar, Emerson Cabrera Paraiso, Claudia Maria Cabral Moro Barra, Deborah Ribeiro Carvalho
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
144:1-144:36
https://dblp.org/rec/journals/csur/GumielOCGPBC22
https://doi.org/10.1145/3462475
Unstructured data in electronic health records, represented by clinical texts, are a vast source of healthcare information because they describe a patient's journey, including clinical findings, procedures, and information about the continuity of care. The publication of several studies on temporal relation extraction ...
@article{DBLP:journals/csur/GumielOCGPBC22, author = {Yohan Bonescki Gumiel and Lucas Emanuel Silva e Oliveira and Vincent Claveau and Natalia Grabar and Emerson Cabrera Paraiso and Claudia Maria Cabral Moro Barra and ...
1887588
journals/csur/IgnaczakGCR22
Text Mining in Cybersecurity: A Systematic Literature Review.
Luciano Ignaczak, Guilherme Goldschmidt, Cristiano André da Costa, Rodrigo da Rosa Righi
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
140:1-140:36
https://dblp.org/rec/journals/csur/IgnaczakGCR22
https://doi.org/10.1145/3462477
The growth of data volume has changed cybersecurity activities, demanding a higher level of automation. In this new cybersecurity landscape, text mining emerged as an alternative to improve the efficiency of the activities involving unstructured data. This article proposes a Systematic Literature Review ( SLR ) to pres...
@article{DBLP:journals/csur/IgnaczakGCR22, author = {Luciano Ignaczak and Guilherme Goldschmidt and Cristiano André da Costa and Rodrigo da Rosa Righi}, title = {Text Mining in Cybersecurity: A Systematic Literature Review.}, journal = {ACM C...
1887544
journals/csur/ChenJZLW21
Text Recognition in the Wild: A Survey.
Xiaoxue Chen, Lianwen Jin, Yuanzhi Zhu, Canjie Luo, Tianwei Wang
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
42:1-42:35
https://dblp.org/rec/journals/csur/ChenJZLW21
https://doi.org/10.1145/3440756
The history of text can be traced back over thousands of years. Rich and precise semantic information carried by text is important in a wide range of vision-based application scenarios. Therefore, text recognition in natural scenes has been an active research topic in computer vision and pattern recognition. In recent ...
@article{DBLP:journals/csur/ChenJZLW21, author = {Xiaoxue Chen and Lianwen Jin and Yuanzhi Zhu and Canjie Luo and Tianwei Wang}, title = {Text Recognition in the Wild: A Survey.}, journal = {ACM Comput. Surv.}, volume ...
1887586
journals/csur/HuangHOVLC21
The Application of the Blockchain Technology in Voting Systems: A Review.
Jun Huang 0002, Debiao He, Mohammad S. Obaidat, Pandi Vijayakumar, Min Luo 0002, Kim-Kwang Raymond Choo
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
60:1-60:28
https://dblp.org/rec/journals/csur/HuangHOVLC21
https://doi.org/10.1145/3439725
Voting is a formal expression of opinion or choice, either positive or negative, made by an individual or a group of individuals. However, conventional voting systems tend to be centralized, which are known to suffer from security and efficiency limitations. Hence, there has been a trend of moving to decentralized voti...
@article{DBLP:journals/csur/HuangHOVLC21, author = {Jun Huang 0002 and Debiao He and Mohammad S. Obaidat and Pandi Vijayakumar and Min Luo 0002 and Kim-Kwang Raymond Choo}, title = {The Application of the Blockcha...
1887643
journals/csur/MirskyL21
The Creation and Detection of Deepfakes: A Survey.
Yisroel Mirsky, Wenke Lee
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
7:1-7:41
https://dblp.org/rec/journals/csur/MirskyL21
https://doi.org/10.1145/3425780
Generative deep learning algorithms have progressed to a point where it is difficult to tell the difference between what is real and what is fake. In 2018, it was discovered how easy it is to use this technology for unethical and malicious applications, such as the spread of misinformation, impersonation of political l...
@article{DBLP:journals/csur/MirskyL21, author = {Yisroel Mirsky and Wenke Lee}, title = {The Creation and Detection of Deepfakes: A Survey.}, journal = {ACM Comput. Surv.}, volume = {54}, number = {1}, pages = {7:1--7:41}, year = {2022}, url...
1887561
journals/csur/DuSZZM22
The Elements of End-to-end Deep Face Recognition: A Survey of Recent Advances.
Hang Du, Hailin Shi, Dan Zeng 0001, Xiao-Ping Zhang 0002, Tao Mei 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
212:1-212:42
https://dblp.org/rec/journals/csur/DuSZZM22
https://doi.org/10.1145/3507902
Face recognition (FR) is one of the most popular and long-standing topics in computer vision. With the recent development of deep learning techniques and large-scale datasets, deep face recognition has made remarkable progress and has been widely used in many real-world applications. Given a natural image or video fram...
@article{DBLP:journals/csur/DuSZZM22, author = {Hang Du and Hailin Shi and Dan Zeng 0001 and Xiao-Ping Zhang 0002 and Tao Mei 0001}, title = {The Elements of End-to-end Deep Face Recognition: A Survey of Recent Advances.}, journa...
1887551
journals/csur/ChurchillS22
The Evolution of Topic Modeling.
Rob Churchill, Lisa Singh
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
215:1-215:35
https://dblp.org/rec/journals/csur/ChurchillS22
https://doi.org/10.1145/3507900
Topic models have been applied to everything from books to newspapers to social media posts in an effort to identify the most prevalent themes of a text corpus. We provide an in-depth analysis of unsupervised topic models from their inception to today. We trace the origins of different types of contemporary topic model...
@article{DBLP:journals/csur/ChurchillS22, author = {Rob Churchill and Lisa Singh}, title = {The Evolution of Topic Modeling.}, journal = {ACM Comput. Surv.}, volume = {54}, number = {10s}, pages = {215:1--215:35}, year = {2022}, url ...
1887575
journals/csur/GuerreiroFP21
The Hypervolume Indicator: Computational Problems and Algorithms.
Andreia P. Guerreiro, Carlos M. Fonseca, Luís Paquete
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
119:1-119:42
https://dblp.org/rec/journals/csur/GuerreiroFP21
https://doi.org/10.1145/3453474
The hypervolume indicator is one of the most used set-quality indicators for the assessment of stochastic multiobjective optimizers, as well as for selection in evolutionary multiobjective optimization algorithms. Its theoretical properties justify its wide acceptance, particularly the strict monotonicity with respect ...
@article{DBLP:journals/csur/GuerreiroFP21, author = {Andreia P. Guerreiro and Carlos M. Fonseca and Luís Paquete}, title = {The Hypervolume Indicator: Computational Problems and Algorithms.}, journal = {ACM Comput. Surv.}, volume = {54}, number ...
1887639
journals/csur/MichelBRS21
The Programmable Data Plane: Abstractions, Architectures, Algorithms, and Applications.
Oliver Michel, Roberto Bifulco, Gábor Rétvári, Stefan Schmid 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
82:1-82:36
https://dblp.org/rec/journals/csur/MichelBRS21
https://doi.org/10.1145/3447868
Programmable data plane technologies enable the systematic reconfiguration of the low-level processing steps applied to network packets and are key drivers toward realizing the next generation of network services and applications. This survey presents recent trends and issues in the design and implementation of program...
@article{DBLP:journals/csur/MichelBRS21, author = {Oliver Michel and Roberto Bifulco and Gábor Rétvári and Stefan Schmid 0001}, title = {The Programmable Data Plane: Abstractions, Architectures, Algorithms, and Applications.}, journal = {ACM ...
1887533
journals/csur/BruelEGMNM21
The Role of Formalism in System Requirements.
Jean-Michel Bruel, Sophie Ebersold, Florian Galinier, Manuel Mazzara, Alexandr Naumchev, Bertrand Meyer 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
93:1-93:36
https://dblp.org/rec/journals/csur/BruelEGMNM21
https://doi.org/10.1145/3448975
A major determinant of the quality of software systems is the quality of their requirements, which should be both understandable and precise. Most requirements are written in natural language, which is good for understandability but lacks precision. To make requirements precise, researchers have for years advocated the...
@article{DBLP:journals/csur/BruelEGMNM21, author = {Jean-Michel Bruel and Sophie Ebersold and Florian Galinier and Manuel Mazzara and Alexandr Naumchev and Bertrand Meyer 0001}, title = {The Role of Formalism in S...
1887611
journals/csur/LiGCCHG22
The Serverless Computing Survey: A Technical Primer for Design Architecture.
Zijun Li 0001, Linsong Guo, Jiagan Cheng, Quan Chen 0002, Bingsheng He, Minyi Guo
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
220:1-220:34
https://dblp.org/rec/journals/csur/LiGCCHG22
https://doi.org/10.1145/3508360
The development of cloud infrastructures inspires the emergence of cloud-native computing. As the most promising architecture for deploying microservices, serverless computing has recently attracted more and more attention in both industry and academia. Due to its inherent scalability and flexibility, serverless comput...
@article{DBLP:journals/csur/LiGCCHG22, author = {Zijun Li 0001 and Linsong Guo and Jiagan Cheng and Quan Chen 0002 and Bingsheng He and Minyi Guo}, title = {The Serverless Computing Survey: A Technical Primer for ...
1887541
journals/csur/ChauhanS22
Topic Modeling Using Latent Dirichlet allocation: A Survey.
Uttam Chauhan, Apurva Shah
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
145:1-145:35
https://dblp.org/rec/journals/csur/ChauhanS22
https://doi.org/10.1145/3462478
We are not able to deal with a mammoth text corpus without summarizing them into a relatively small subset. A computational tool is extremely needed to understand such a gigantic pool of text. Probabilistic Topic Modeling discovers and explains the enormous collection of documents by reducing them in a topical subspace...
@article{DBLP:journals/csur/ChauhanS22, author = {Uttam Chauhan and Apurva Shah}, title = {Topic Modeling Using Latent Dirichlet allocation: A Survey.}, journal = {ACM Comput. Surv.}, volume = {54}, number = {7}, pages = {145:1--145:35}, year ...
1887662
journals/csur/PalSDKRP21
Topic-based Video Analysis: A Survey.
Ratnabali Pal, Arif Ahmed Sekh, Debi Prosad Dogra, Samarjit Kar, Partha Pratim Roy 0001, Dilip K. Prasad
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
118:1-118:34
https://dblp.org/rec/journals/csur/PalSDKRP21
https://doi.org/10.1145/3459089
Manual processing of a large volume of video data captured through closed-circuit television is challenging due to various reasons. First, manual analysis is highly time-consuming. Moreover, as surveillance videos are recorded in dynamic conditions such as in the presence of camera motion, varying illumination, or occl...
@article{DBLP:journals/csur/PalSDKRP21, author = {Ratnabali Pal and Arif Ahmed Sekh and Debi Prosad Dogra and Samarjit Kar and Partha Pratim Roy 0001 and Dilip K. Prasad}, title = {Topic-based Video Analysis: A Su...
1887608
journals/csur/LeeBHH22
Towards Augmented Reality Driven Human-City Interaction: Current Research on Mobile Headsets and Future Challenges.
Lik-Hang Lee, Tristan Braud, Simo Hosio, Pan Hui 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
165:1-165:38
https://dblp.org/rec/journals/csur/LeeBHH22
https://doi.org/10.1145/3467963
Interaction design for Augmented Reality (AR) is gaining attention from both academia and industry. This survey discusses 260 articles (68.8% of articles published between 2015–2019) to review the field of human interaction in connected cities with emphasis on augmented reality-driven interaction. We provide an overvie...
@article{DBLP:journals/csur/LeeBHH22, author = {Lik-Hang Lee and Tristan Braud and Simo Hosio and Pan Hui 0001}, title = {Towards Augmented Reality Driven Human-City Interaction: Current Research on Mobile Headsets and Future Challenges.}, journal...
1887589
journals/csur/ItohLSP21
Towards Indistinguishable Augmented Reality: A Survey on Optical See-through Head-mounted Displays.
Yuta Itoh 0001, Tobias Langlotz, Jonathan Sutton, Alexander Plopski
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
120:1-120:36
https://dblp.org/rec/journals/csur/ItohLSP21
https://doi.org/10.1145/3453157
Adding virtual information that is indistinguishable from reality has been a long-awaited goal in Augmented Reality (AR). While already demonstrated in the 1960s, only recently have Optical See-Through Head-Mounted Displays (OST-HMDs) seen a reemergence, partially thanks to large investments from industry, and are now ...
@article{DBLP:journals/csur/ItohLSP21, author = {Yuta Itoh 0001 and Tobias Langlotz and Jonathan Sutton and Alexander Plopski}, title = {Towards Indistinguishable Augmented Reality: A Survey on Optical See-through Head-mounted Displays.}, journal ...
1887619
journals/csur/LohachabGKALCX22
Towards Interconnected Blockchains: A Comprehensive Review of the Role of Interoperability among Disparate Blockchains.
Ankur Lohachab, Saurabh Garg 0001, Byeong Kang 0001, Muhammad Bilal Amin, Junmin Lee, Shiping Chen 0001, Xiwei Xu 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
135:1-135:39
https://dblp.org/rec/journals/csur/LohachabGKALCX22
https://doi.org/10.1145/3460287
Unprecedented attention towards blockchain technology is serving as a game-changer in fostering the development of blockchain-enabled distinctive frameworks. However, fragmentation unleashed by its underlying concepts hinders different stakeholders from effectively utilizing blockchain-supported services, resulting in ...
@article{DBLP:journals/csur/LohachabGKALCX22, author = {Ankur Lohachab and Saurabh Garg 0001 and Byeong Kang 0001 and Muhammad Bilal Amin and Junmin Lee and Shiping Chen 0001 and Xiwei Xu 0001}, title ...
1887680
journals/csur/RoyGGD22
Transcriptional Regulatory Network Topology with Applications to Bio-inspired Networking: A Survey.
Satyaki Roy, Preetam Ghosh, Nirnay Ghosh, Sajal K. Das 0001
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
166:1-166:36
https://dblp.org/rec/journals/csur/RoyGGD22
https://doi.org/10.1145/3468266
The advent of the edge computing network paradigm places the computational and storage resources away from the data centers and closer to the edge of the network largely comprising the heterogeneous IoT devices collecting huge volumes of data. This paradigm has led to considerable improvement in network latency and ban...
@article{DBLP:journals/csur/RoyGGD22, author = {Satyaki Roy and Preetam Ghosh and Nirnay Ghosh and Sajal K. Das 0001}, title = {Transcriptional Regulatory Network Topology with Applications to Bio-inspired Networking: A Survey.}, journal = {A...
1887602
journals/csur/KhanNHZKS22
Transformers in Vision: A Survey.
Salman H. Khan 0001, Muzammal Naseer, Munawar Hayat, Syed Waqas Zamir, Fahad Shahbaz Khan, Mubarak Shah
ACM Computing Surveys
ACM Comput. Surv.
cross-area
2,022
unknown
200:1-200:41
https://dblp.org/rec/journals/csur/KhanNHZKS22
https://doi.org/10.1145/3505244
Astounding results from Transformer models on natural language tasks have intrigued the vision community to study their application to computer vision problems. Among their salient benefits, Transformers enable modeling long dependencies between input sequence elements and support parallel processing of sequence as com...
@article{DBLP:journals/csur/KhanNHZKS22, author = {Salman H. Khan 0001 and Muzammal Naseer and Munawar Hayat and Syed Waqas Zamir and Fahad Shahbaz Khan and Mubarak Shah}, title = {Transformers in Vision: A Survey...