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ArXiv_3rd_107.png | This single line chart is titled '2p1'. It shows the accuracy against the threshold. The x-axis represents the threshold values from -6 to 2, and the y-axis represents the accuracy ranging from 0.88 to 1. | The accuracy starts at around 1.000 when the threshold is -6, the accuracy decreases consistently to 0.88 until the threshold is reached 0, and then increases rapidly to 0.98 when the threshold is 2. | Line | Simple Line |
springer_3644 copy 3.png | This boxplot is titled 'Goods_coverage'. It shows the value of goods_value on the y-axis from 0.990 to 0.998. Two groups are shown on the x-axis: R and H. | The R groups has much higher median in the Goods_coverage (0.994) with a wide inter-quantile range. The H group has a much lower median value in goods_coverage (0.992) with a narrower inter-quantile range. | Boxplot | Simple Boxplot |
springer_0565.png | This bar chart shows the relative abundance of phytoplankton on the y-axis from 0 to 1. The x-axis shows two charts: 36 DOC and 66 DOC. Both show a bar for the control pond and one for the FWH supplement pond. Ten conditions are being compared. | In both charts and all bars, the Chlorella condition and the Nitzschia condition show the highest abundance. | Bar | Stacked Bar |
springer_3191.png | This line chart shows the relationship between the embankment height (m) on the x-axis ranging from 6 to 10 and the resultant force (kN/m) on the y-axis in range of 100 to 500. | The graph shows a positive trend between the enbankment height and the resulting force. As the enbankment height increases from 6 cm to 10 cm, the resulting force also rises from around 100 Kg to 500 Kg. | Line | Simple Line |
springer_0751.png | This line chart shows the number of consecutive fixations on the distractor . The x-axis lists various figures, and the y-axis shows fixations, ranging from 0 to 4. two lines represent individuals, one line represents the adult mean. | The chart shows a high number of fixations on 'similar rotated rectangle' and 'similar rotated square', as indicated by a peak in the adult's mean of 0.8 for both instances. For the other stimuli, the number of fixations is around 0.5 on average. | Line | Multiple Line |
springer_2359.png | This line chart with error bars is titled "Comparison of false positive rates when changing minPts (our dataset - Chrome). On the x-axis are the minPts in range of 0.1% to 5%, against the False Positive Rate (FPR) on the y-axis in range of 0% to 4%. | The chart shows that the FPR decreases to a low point at 3% minPts, but then increases for the rest of the graph. | Line | Simple Line |
springer_2135.png | This scatter plot with regression line shows the Bodyweight (BW) - Total Length (TLC) relationship for two gender conditions: Male and Female. The x-axis represents the total length (cm), ranging from 0 to 90 cm, and the y-axis represents the body weight (g), ranging from 0 to 1600 cm. | The scatter plot reveals a positive correlation between body weight and total length for both males and females, with a general upward trend. | Scatter | Scatter plot with regression line |
ACM_0060.png | This grouped bar chart shows the number of students that used either 1+ Diagnostic Prints or Used No Diagnostic Prints. The y-axis shows numbers ranging from 0 to 250. The x-axis shows the categories: PA4, PA5, PA6 and Final Challenge. | The chart shows, that over all categories the majority of students did not use a diagnostic print. | Bar | Group Bar |
ACM_2316 copy 3.png | This multiple line chart shows the estimated Localization of damage/mm on the x-axis ranging from -150 to 150. On the y-axis in range of 50 to 200 is Bgc/mT. Three conditions are compared as indicated in the chart: 16mm in red, 18mm in blue, and 20mm in black. | The chart shows that the "SMR" model outperforms the others in both accuracy and speed, especially under low-damage conditions. | Line | Multiple Line |
Springer_2nd_0712.png | The chart is a line graph titled "All green." It features a legend that distinguishes two groups: control and treatment. The x-axis is categorized into "Below" and "Above," while the y-axis represents "Predicted Probabilities" on a scale from 0 to 0.8. | The chart illustrates higher values of predicted probabilitiesfor above tha below, for both groups. However, the treatment group consistently shows higher values than the control group. The distance between the two lines indicates a notable difference between the two groups. | Line | Multiple Line |
ACM_1862 copy.png | This horizontal scatter plot is titled "T2 and Text cohesion". It shows the SHAP value (impact on model output) on the x-axis in range of -0.05 to 0.05, against five different parameters on the y-axis. Each point has a corresponding Feature value as explained in the legend, ranging from Low to High. | The plot shows that C3 has the highest spread, ranging from around -0.08 to 0.06. The Feature Values are mixed for C2 and C5, while C4 and C3 have a low feature value when the SHAP value is low, and vice versa. C1 has a high feature value when SHAP value is high, and vice versa. | Scatter | Simple Scatter |
ACM_2317 copy 3.png | This multiple line chart shows the relationship between Location of damage/mm on the x-axis ranging from 0 to100, and H/(kA/m) on the y-axis, ranging from 0 to 100. The chart includes three lines representing different conditions: "20mm- blue," "30mm-green," and "40mm-red". | The chart shows similarity in trends between 20mm and 40mm elements, 30mm tends to steady at 20H/(kA/m) throughout the location of damage, exhibiting shorter and more regular movements. Additionally, participants using the 20mm and 40mm force tend to have faster and sharper movements at the beginning and at the end of ... | Line | Multiple Line |
arXiv_0217.png | This scatter plot is titled 'Coverage rate of the truth by the CI (Case 1)' and plots sample size on the x axis against coverage rate on the y axis, ranging from 0 to 1. Three sample sizes are shown: 100, 1000 and 1000. There are three different estimators plotted: 'Crude', 'Hajek' and 'HT'. | The plot shows, for a confidence level of 95%, a high coverage rate for 'hajek' and 'ht' for all sample sizes. It is 1 for sample size 1000 and 10000 for both estimators. 'Crude' shows a much lower coverage rate, which is decreasing from 0.8 at sample size 100 to 0 at sample size 10000, indicating diverging behavior wh... | Scatter | Simple Scatter |
1585b.png | This line chart is titled "Single-Hand Microgestures" and shows guessability (%) on the y-axis, ranging from 0 to 40%, and the number of participants on the x-axis, ranging from 0 to 22. The plot includes two lines: a training curve and a cross-validation curve. The separation between the curves starts at around 5% wit... | The increasing gap between the training and cross-validation curves indicates that the model's guessability slightly worsens as more participants are added, suggesting that this task may be harder to generalize. | Line | Multiple Line |
extra2_0183.png | The chart is a vertical bar graph. It uses bars to represent various countries, including Finland, Iceland, Norway, Sweden, Greenland, Faroe Islands, Canada, and the US. The vertical axis ranges from 0 to 100, indicating the measured value, while the horizontal axis lists the countries. | Finland shows the highest value (approximately 90), significantly surpassing Faroe Islands, which has the lowest (10). The US and Canada present high values as well, while Norway and Sweden depict moderate levels. | Bar | Simple Bar |
ArXiv_3rd_222.png | This multiple line chart is titled "Survival curves, All-covariates-adjusted model, LLS ". The y-axis represents the Survival probablity, ranging from 0.3 to 1.0, and the x-axis represents the follow-up time, ranging from 0 to 14 years. The chart includes five conditions, as indicated in the legend: "MAG 1st quartile, ... | The chart shows a small decline in survival probability (from 1.0 to 0.9) as the follow-up time increases in years for all 5 conditions. Overall, the condition 'MAG 1st quartile, BAG 1st quartile' has the highest survival probablity. | Line | Multiple Line |
1948.png | This donut chart displays the distribution of sketching mediums among participants, segmented into digital and paper sketches. The outer ring represents the percentage of digital sketches (69.38%) and paper sketches (30.62%). The inner ring further categorizes these sketches by tool: 69.38% of digital sketches were mad... | The chart highlights a preference for digital sketches using a stylus over traditional paper sketches, with the majority of participants opting for digital mediums. | Pie | Pie |
springer_2502.png | This bar chart shows the frequency of the number of ATEs. The x-axis represents the ATE values, ranging from -0.8 to -0.1, while the y-axis represents the frequency, ranging from 0 to 0.12. There is a line titled "Average ATE" with the value 0.489. | The chart reveals that the distribution of frequencies is concentrated between -0.6 and -0.4. The average frequency is also significantly higher than the others, as indicated by the red dashed line at 0.489 ATE and a peak frequency of 0.12. | Bar | Simple Bar |
arXiv_0527.png | This is a line chart with the X-axis labeled “Death rates,” ranging from 0 to 1, and the Y-axis labeled “Transmission function,” ranging from 0 to 1.5. The legend distinguishes two color-coded lines: a blue dashed line labeled “alpha” and a red dotted line labeled “beta.” | Alpha dominates at low death rates, with a sharp peak near 0.05 before rapidly declining. In contrast, beta rises more gradually, peaking around a death rate of 0.25, and then tapers off. | Line | Multiple Line |
1874b.png | This bar graph shows number of rallies in Multi-player Pong. The y-axis shows the Number of Railes in range of 0 to 15, the x-axis shows each participants. | P7 and P8 performed around 9 rallies on average, while P9 performed less than 2 rallies on average. | Bar | Simple Bar |
Springer_2nd_0210.png | The chart is a histogram titled "Distribution of Engine Sizes." It shows engine sizes measured in liters on the x-axis ranging from 0 to 8, with the count on the y-axis ranging from 0 to 400. | The chart shows that most engines are around 350 Liters in size, some are around 2, and some are up to 8 liters. | Bar | Simple Bar |
springer_3783 copy 6.png | This horizontal bar chart shows the impact of different agricultural activities on the social impact. The y-axis lists the activities: Agroforestry, Biochar application, Decentralized composting, Vegetable gardens, Residential rainwater harvesting, and Subsistence rainwater harvesting. The x-axis shows the impact scale... | The highest impact is seen in the field of agroforestry(90), followed by biochar application (77). The lowest impact is observed in Subsurface rainwater harvesting (63). | Bar | Simple Bar |
0753.png | This horizontal stacked bar chart is titled "Distribution of Kombucha Experiment Participants' attitudes," it illustrates the preferences and feedback of participants on the y-axis, nad the number of surevey respondents in Kombucha Experiment on the x-axis. 5 rating levels are shown in the legend. . | Very few participants wanted to design and run their own experiments – 3 out of 31; however, 23 wanted to participate in a similar experiment. Additionally, 20 participants stated that participating did not alter their daily activities. Furthermore, 25 mentioned that the reminders were sent at an appropriate time, whil... | Bar | Stacked Bar |
springer_1724 copy.png | This scatter plot presents the predicted probabilities for women favoring a female breadwinner model versus a dual earner setup, segmented by welfare regime. The y-axis ranging from -0.3 to 0.2 shows coefficients for Model 1 (black squares) and Model 2 (grey squares, adjusted for SES). | In most regimes, including Mediterranean, Conservative and Liberal, the coefficients are centered near zero, suggesting minimal deviation in preference. In Eastern European regimes, however, there is a slightly negative tendency, indicating less support for female breadwinner roles. Scandinavian regimes display a simil... | Scatter | Simple Scatter |
springer_0347 copy 2.png | This heatmap is titled: KNN Performance Metrics. It shows the KNN Variance from 0.15 to 0.21 on the y-axis. The x-axis shows the KNN Bias from 0.05 to 0.11. | The results range between 0.058 and 0.13 on the x-axis and 0.158 and 0.202 on the y-axis. The heatmap shows a rectangular shape with darker and lighter colors. | Heatmap | Heatmap |
extra_0470.png | This pie chart is titled '2013'. It shows the distribution of four categories: 'Batteries', 'Lubricating greases', 'Ceramics and glass', and 'Others'. | Ceramics and glass were the most common uses at 35%, followed by batteries at 29%. Other uses accounted for a significant 27%, while lubricating greases represented a small fraction (9%). | Pie | Pie |
extra2_0047.png | The chart is a box plot. It compares three categories: Cultivated, Wild, and FC. The y-axis represents "Observed Richness," while the x-axis indicates the different categories. The scales are numeric, displaying the richness levels from 0 to 40, with median lines and interquartile ranges for each category. | The plot reveals that FC exhibits significantly higher at about 30 observed richness compared to both Cultivated and Wild categories, which show similar, lower values of under 10. | Boxplot | Simple Boxplot |
ACM_4463.png | This multiple line chart shows the AUUC on the y-axis in range of 0.5 to 0.6 against the lambada value on th x-axis in range of 1 to 20. Two conditions are compared as indicated in the legend: In-sample, and Out-of-sample. | The chart shows that the In-sample condition has a higher AUUC compared to the Out-of-sample condition across most lanbda values. The AUUC peaks at 10 for both conditions, with the In-sample condition showing a slightly higher AUUC. | Line | Multiple Line |
ACM_2983.png | This line chart shows the Absolute Pearson Correlation Coefficient on the y-axis in range of 0.0 to 1.0, against the Comparison Index on the x-axis in range of 1 to 4. | The comparison index shows a decreasing trend with the highest value at index 1 at around 0.1 and the lowest value at index 3 around 0.05. | Line | Simple Line |
Springer_2nd_1414.png | The chart is a spatial heatmap titled "Ec of developed countries." It features a legend indicating precipitation levels (mm/day) with a gradient from blue (negative values) to orange (positive values). The X-axis represents longitude (60E to 120E), while the Y-axis shows latitude (0N to 40N), both with a continuous sca... | The heatmap shows higher precipitation levels in the southeast of the map, and lower levels further inland, indicating that coastal regions see more rainfall. | Heatmap | Heatmap |
ArXiv_3rd_680.png | This grouped bar chart is titled “Mutation Count Comparison”. The x-axis shows mutation count from 0 to 400, and the y-axis shows Position from 576 to 668. Two conditions are compared: 'True Mutation Count' and 'Predicted Mutation Count'. | The chart reveals that the true mutation count is consistently higher than the predicted mutation count across all positions. Notably, the difference between the two counts is significant at positions 606. | Bar | Group Bar |
extra2_0045.png | The chart is a box plot. It uses boxes to represent siz different metrics along a numerical scale from 3 to 10. The y-axis labels indicate the metrics, and the x-axis shows numeric ratings. | The box plot reveals that the "is it possible to use the product fast and efficient" metric scored the highest with a median at around 8, while inefficient/efficient scored the lowest, with an interquartile range between 5 and 7. | Boxplot | Simple Boxplot |
ArXiv_3rd_226.png | This multiple line chart is titled "Survival curves, Age-adjusted model, LLS". The y-axis represents the Survival probablity, ranging from 0.3 to 1.0, and the x-axis represents the follow-up time, ranging from 0 to 18 years. The chart includes five conditions, as indicated in the legend: "MAG 1st quartile, BAG 1st quar... | The chart shows a general decline in survival probability (from 1.0 to 0.9) as the follow-up time increases in years for all 5 conditions. Overall, the condition 'MAG 1st quartile, BAG 1st quartile' has the highest survival probablity with the least decline, while the condition 'MAG 3rd quartile, BAG 3rd quartile' has ... | Line | Multiple Line |
pie_17.png | The chart is a pie chart titled "Percentage of hospitals in non-profit systems in the U.S. 1995-2016." It uses color-coded segments to represent different years: 1995, 2000, 2005, 2008, 2013, and 2016. Each category is represetned by one slice of the pie. | The percentage of hospitals in non-profit systems increased from 11.8% in 1995 to 20.8% in 2016, showing a general upward trend. The largest growth occurred between 2013 and 2016. | Pie | Pie |
springer_1866 copy.png | This line chart shows the weight percentage at different temperatures. The y-axis represents the weight, ranging from 0% to 100%. The x-axis represents the temperature in celcius. | The line graph shows a negative trend, with weight decreasing as temperature rises. The highest weight of about 100% occurs at around 30 degrees celcius, while the lowest weight of about 60% is at 600 degrees celcius. | Line | Simple Line |
arXiv_0786.png | This stacked bar chart shows the Number of Vortices vs. Stirring Methods. The y-axis shows numbers on a range from 0 to 350 and the x-axis shows 5 categories: Spoon, Tile 4, Tile 8, Pixel 4 and Pixel 8. There are two bars for each category shown with stripes: te { 2.28, ..., 2.38} (ns) and dots: te { 4.45, ..., 4.56} (... | All three conditions: Free Vortices, Vortices in Dipoles and Vortices in Clusters have a similar representation and stay pretty stable with the most variety in the "Vortices in Clusters" category. The striped bars are significantly higher in every category. The category Spoon and Tile 8 have the highest numbers (350 an... | Bar | Stacked Bar |
ArXiv_3rd_644.png | This line chart shows the relationship between Mean # of ENVs and Descriptor Cuts Off (A). The x-axis represents Descriptor Cuts Off (A), ranging from 5 to 30, and the y-axis represents Mean # of ENVs, ranging from 0 to 4. | The chart shows the mean number of ENVs increases with cutoff distance, peaking near 15 Å, then steadily declines. | Line | Simple Line |
Springer_2nd_0314.png | The chart is a grouped bar chart titled "Pre-train models Performance," showing the performance metrics (Accuracy, Precision, Recall, F1-score) of various models (MobileNetV2, ResNet101, InceptionV3, EfficientNet, DenseNet161, VGG19). The x-axis labels the models and the y-axis denotes performance values, ranging from ... | The chart illustrates model performance. Notably, InceptionV3 achieves the best in all four of the categories, highlighting its outperformance of the other models in every aspect. Notably, VGG19 obtains the lowest scores in the shown categories. | Bar | Group Bar |
ACM_0321.png | This grouped bar chart shows the time taken to grade a problem. The y-axis shows the time taken in minutes, ranging from 0 to 600, and the x axis shows 6 different problems. Every problem shows two bars: one called 'Pure Manual grading' and one called 'AI-assisted grading'. | The chart shows that using "Pure Manual Grading" consistently takes longer than "AI-Assisted Grading" across all problems. The largest difference occurs in Problem 3, where "AI-assisted grading" saves 45% in time compared to "Pure Manual Grading". | Bar | Group Bar |
springer_3161 copy.png | This scatter plot with regression line shows on the x-axis the Actual Clad Height Average in range of 0 to 550, the y-axis shows Predicted Clad Height Average in range of 0 to 550. | The scatter plot with regression line suggests a positive relationship between the actual and predicted clad height average. With the scatters arranging in the middle of the chart along the regression line. | Scatter | Scatter plot with regression line |
ACM_1168 copy.png | This boxplot is titled 'Inference Time Boxplot of Jetson nano'. The y-axis shows the Execution Time (milliseconds) from 110 to 150, and the x-axis shows only one type of Nvidia Jetson nano. | The chart shows that the median level of execution time for the Jetson Nano is around 113 milliseconds. The inter-quantile range is between 110 to 117 milliseconds. There are also some outliers listed above 126 ms. | Boxplot | Simple Boxplot |
0842b.png | This bar chart is titled "Eyes closed", Counts is shown on the y-axis in the range of 0 to 2000; theta/alpha ratio values (binned) is shown on the y-axis in the range of 0 to 1.6. | 95th percentile of the distribution is shown on the chart around 1.32 theta/apha ratio values. | Bar | Simple Bar |
arXiv_0595.png | This is a box plot titled “Days PM2.5 > 15 µg/m³ by Seasons and MDE Levels.” The x-axis shows the four seasons, and the y-axis shows the number of days (count). The legend identifies five MDE levels: Very Low, Low, Medium, High, and Very High, each represented by a different color. | The boxplot shows that winter has the highest number of days with PM2.5 levels above 15 µg/m³, especially at Medium and High MDE levels. In contrast, spring and summer show fewer high PM2.5 days across all MDE levels. | Boxplot | Simple Boxplot |
springer_4275.png | This line chart shows the relationship between a value and the year. The y-axis shows the value in billion US dollars, ranging from -50 to 50. The x-axis shows the years, ranging from 2010 to 2018. The chart includes two lines representing Ireland and the UK. | The chart shows that the value for UK drops around 2014, while it increases for Ireland, reaching over 50 billion US dollars in 2018. | Line | Multiple Line |
springer_1836.png | This line chart compares average method rewards across training episodes for three different learning rates. The y-axis ranges from 0 to 60, indicating reward levels, while the x-axis spans 0 to 3000 training episodes. | The blue line (learning rate = 0.01) consistently outperforms the others, peaking above 50. The red line (0.001) stabilizes just below 50, and the yellow line (0.0001) plateaus around 43. Faster learning rates generally yield higher rewards, especially during early and mid-phase training. | Line | Multiple Line |
ArXiv_3rd_188.png | This scatter plot with regression line is titled "3p3", it shows SE-tru values on the x-axis in the range of -8 to 6 against SE-pre values on the y-axis in the range of -8 to 6. Two conditions are compared as indicated in the legend: 'sample', and 'y=x' | This plot indicates a positive relationship between the 'SE-pre' value and 'SE-tru' value. The sample scatters are distributed very closely aligned with the line 'y=x'. | Scatter | Scatter plot with regression line |
ArXiv_3rd_460.png | This multiple line chart shows the Average utility gain of each cell on the y-axis from 700 to 875. The x-axis represents the average number of cells, ranging from 0 to 10; Four conditions for different Average Nm values are compared and represented by four lines, as indicated in the legend: Average of Nm=400, Average ... | The chart shows that the average utility gain increases as the number of cells rises for all four conditions. The highest utility gain of each cell is when the Average Nm = 700, and the lowest utility gain of each cell is when the Average Nm = 400. | Line | Multiple Line |
arXiv_0283.png | This multiple line chart shows the "HybriDNA Validation Loss". Loss is represented on the y-axis, ranging from 1,16 to 1.21, and the "Training Tokens" on the x-axis, ranging from 50 to 250 billions. The chart includes three lines representing different conditions: "HybridDNA 300m," "HybridDNA 3B," and "HybridDNA 7B." E... | The chart shows a general increase in training tokens as the losses show a decreasing trend. The hybriDNA 300M achieves the highest values and the HybriDNA 7B the lowest. HybriDNA 7B is also the condition with the fastest decrease. | Line | Multiple Line |
arXiv_0169.png | This line chart shows the "Voltage-Level" on the y-axis in range of 0.04 to 0.16 against "Time" on the x-axis in range of 7.547 to 7.549 1e-6 seconds. | The line shows a basis level of 0.15 volts, with 1 trough to approximately 0.10 volts at 7.5475 1e-6 seconds. | Line | Simple Line |
arXiv_1024.png | This is a scatter plot with color encoding, where the x-axis is labeled "Tgt Superpoints NC" and the y-axis is "Src Superpoints NC," both ranging from 0 to 600. A colorbar on the right spans from 0.0 to 1.0, indicating the intensity values used to color the points. | Data points are densely distributed across the entire plot with mild clustering toward the center. | Scatter | Simple Scatter |
extra_0402.png | This pie chart is titled 'a) Protection level'. It shows the breakdown of five categories: 'Fully protected', 'Partially protected', 'Influenced by protected areas', 'Not protected' and 'Not mentioned'. | The chart shows that 23.09% are partially protected, 20.3% are fully protected, 9.8% are not protected, and only 2.5% are influecned by protected areas. The domonant category is 'Not mentioned', with 43.5%. | Pie | Pie |
extra_0097.png | This bar chart is titled "[Post]1-10 Multitasking Ability Self-Rating." The y-axis represents the value of Participant Frequency from 0 to 6, against the values of Rating on the x-axis from 1 to 10. | Most participants rated their multitasking ability between 2 and 8. Five participants rated 5. Zero participants rated 1, 9, or 10. | Bar | Simple Bar |
3332a.png | This bar chart shows Mean Scores for Realism for Two Types of Controllers. The y-axis shows Realism in range of 0 to 60, the x-axis shwos two types of Controller: standard, and PumpVR. | PumpVR controller has 50 realism socre, which is than the standard controller realism score. | Bar | Simple Bar |
springer_4045 copy 4.png | This line chart is titled "LOHC Transport Costs" and shows the relationship between the energy yield and cost. The x-axis shows three energy yields in kilowatt-hours per kilowatt-peak in range of 1500 to 1700.The y-axis shows the cost in dollars, ranging from 200 to 500. The linear regression line represents the "Mean"... | The plot shows a linear increase of the cost as the energy yield increases. The cost starts at 300 US-dollar for 1500 kilowatt-hours per kilowatt-peak and increases from there. | Line | Simple Line |
springer_4426.png | This line chart shows hospitalization rate per 1000 insured perseons over time for two conditions. The y-axis shows the Hospitalization rate per 1000 insured persons, ranging from 0 to 200. The x-axis shows the years from 2000 to 2022. Two conditions are compared as indicated in the legend: 'The per capita hospitalizat... | The chart shows that the non-rural condition is always higher then the rural one. The non-rural condition is at it's lowest in 2008, a high point for the rural condition. | Line | Multiple Line |
1601.png | This bar chart is titled "Error Mean by Distance" and displays the error mean in centimeters (cm) on the y-axis, ranging from 0 to -120 cm. The x-axis represents four distances: 3 meters, 4 meters, 5 meters, and 6 meters. Each bar shows the mean error at these distances with error bars indicating variability. The speci... | The errors recorded at different distances are as follows: 3m corresponds to an error of -43 cm, 4m to -61 cm, 5m to -79 cm, and 6m to -91 cm. The largest error occurs at 6m, with a value of -91 cm, indicating the most significant deviation at this distance. | Bar | Simple Bar |
springer_2876.png | This grouped bar chart shows the frequency percentage on the y-axis against 5 levels on the x-axis: Very low, Low, Moderate, High, and Very high. 4 conditions are compared as seen in the legend: RNN, RNN-GWO, RNN-PSO, and RNN-ABC. | The chart reveals that "Very low" has the highest frequency percentage for all four conditions. "Low" has the lowest frequency percentage, suggesting that it is the least common. "Moderate" and "High" have moderate frequencies, while "RNN-GWO" and "RNN-ABC" show slightly higher percentages than "RNN-PSO". | Bar | Group Bar |
extra_0103.png | This heatmap shows the distribution of PM 2.5 (PostLockdown) across a geographic map. The x-axis represents longitude (from approximately 70°E to 79.5°E), and the y-axis represents latitude (from approximately 22.5°N to 30°N). The legend lists the level of PM 2.5 concentration, from 48.01 to 72.43. | The chart reveals the spatial distribution of PM 2.5 concentrations. High levels are concentrated around the cities of Jodhpur and Alwar. Moderate levels are around the cities of Udaipur and Kota, while the lowest levels are around the city of Ajmer. | Heatmap | Heatmap |
springer_0264 copy 2.png | This multiple line chart shows the "probability of OS" on the y-axis from 0 to 1. The x-axis shows the time since CAR T-cell infusion (months) ranging from 0 to 50. Two conditions are being compared: High pre-LD LMR and Low pre-LD LMR. | Both lines show a decreasing trend, with the Low condition showing a steeper decrease. It starts at 1 and ends at 0.4 while the High condition starts at 1 and ends at 0.6. | Line | Multiple Line |
ArXiv_3rd_348.png | This line chart has a loss value on the y-axis, ranging from 0 to 0.01, against Step on the x-axis, ranging from 0 to 400. | The chart shows that the Loss values fluctuate irregularly across steps; overall, the loss value fluctuates between 0.06 and 0.01. | Line | Simple Line |
arXiv_0048.png | This bar chart shows the Energy Change (EV) across four conditions: Perfect HOPG, Surface Damage, Atom Damage, and Deep Damage. The y-axis represents the Energy Change, ranging from -30 to 0. | The chart shows that "Surface Damage" has the highest energy change, more than -30 EV, followed by "Atom Damage" at around -30 EV. "Perfect HOPG" has the lowest energy change, around -10 EV. | Bar | Simple Bar |
pie_21.png | The chart is a pie chart titled "Italy: share of smokers 2017, by frequency." It includes a legend with categories such as "Every day," "Every week," and others. Each category is represetned by one slice of the pie. | The chart shows that 97% of smokers in Italy in 2017 smoked daily, dominating the distribution. Other frequencies, like weekly or monthly, are minimal, highlighting a strong daily smoking trend. | Pie | Pie |
extra_0337.png | This pie chart is titled 'Sustainability dimensions'. It shows the breakdown of three categories: 'Environment', 'Social', and 'Economic'. Each section is represented by one segment of the pie, with percentage labelled. | The chart reveals a predominant focus on Environmental sustainability (59%), significantly overshadowing Social (26%) and Economic (15%) dimensions. | Pie | Pie |
springer_4389.png | This bar chart shows the number of patient transports across different groups based on their transport time in ambulance in minutes. The x-axis represents the transport time in minutes, ranging from 0-135 minutes. The y-axis represents the number of patient transports, ranging from 0 to 4.000. | The chart shows that the highest number of patient transports with almost 4.000 have a transport time between 0 and 9. The lowest number with almost 0 have a transport time between 118-126. | Bar | Simple Bar |
0363.png | This multiple line chart with error bars shows User Selection Error Rate Per Trial on the y-axis over 15 blocks on the x-axis. 7 conditions are compared as seen in the legend. | User selection error rate per trail varied from block to block for each conditino. There is no distinct patters found regarding user selection error rate per trail. | Line | Multiple Line |
extra_0085.png | The chart is a pie chart showing the distribution of 7 categories for land use: Measures to conserve species, Miscellaneous, Orchard meadows, Planting, Agroforestry, Extensification of land use, and Flower strips. Every category is represented by one slice of the pie, with the percentage labelled. | The chart highlights that flower strips dominate land use at 47%, significantly more than other categories. In contrast, agroforestry (2%) and extensification of land use (4%) represent minimal percentages. Other categories have a moderate percentage. | Pie | Pie |
extra2_0292.png | The chart is a Heatmap titled "Spearman Correlation Heatmap for Ext Group." It has a legend to represent correlation values from -0.12 to 0.90. The x-axis and y-axis are labeled with variables: "Attitude," "Senior," "Teacher," "Perception," "Intention," and "Application." | The heatmap reveals a strong correlation of 0.90 between "Teacher" and "Senior." Conversely, there are weaker correlations, such as -0.12 between "Perception" and other factors. | Heatmap | Heatmap |
1243b.png | This line graph, titled "Arousal Impact by Weekday" shows immediate impact ratings for arousal on the y-axis, ranging from 0 to 4, and weekdays on the x-axis, from Monday to Sunday. | A low point for arousal impact is noted on Wednesdays, with a recovery in impact ratings towards the weekend. | Line | Simple Line |
springer_4240.png | This grouped bar chart shows the value of three categories which are compared on the x-axis: F1 Score, MCC and FPR. Three conditions are compared as indicated in the legend: RF, XGBoost and MH-XGB. | The chart shows that in F1 Score condition, the MH-XGB model has the highest score with 0,96, followed by XGBoost with 0,77 and RF with 0,63. While MCC has similar scores as F1 Score, FPR condition has lower scores with XGBoost being highest with 0.39, followed by RF with 0.21 and MH-XGB with 0.08. | Bar | Group Bar |
0089.png | This line chartshows Published HDBS frp 2011 to 2020. X-axis depicts the time range from 2011 to 2020, y-axis shows the counts of published HDBS. | The growth was shallow until about 2014, then increased significantly . From 2016 , the growth becomes stronger, concluding at around 150 published HDBs by 2020. | Line | Simple Line |
arXiv_0067.png | This scatter plot with error bars has digits from 0 to 9 on the x-axis, and the y-axis shows Euclidean Distance from 1.5 to 4.0 in the unit of times 10 to the power of 5. Two conditions are compared, interclass and intraclass, as indicated in the legend. | Interclass Euclidean distances has less variance across all digits, keeps around 2.8 times 10 to the power of 5. Intraclass distances show large fluctuations across digits, especially for digits 0 and 6, it has the highest euclidean distance, approximately 3.5 times 10 to the power of 5. | Scatter | Scatter plot with error bars |
Springer_2nd_0478.png | The chart is a vertical bar chart. The x-axis is labeled with numerical categories (1 to 6), while the y-axis shows values ranging from 0 to 12, with a linear scale. | The chart reveals a gradual increase in values from 1 to 6, demonstrating a clear upward trend. Notably, there is a marked peak at category 6 of 11. | Bar | Simple Bar |
extra2_0188.png | The chart is a box plot. It features four categories: Earthworm abundance, Nutrient availability, Soil erosion, and Water regulation, each represented by colored boxes. The y-axis indicates percentages (0% to 1000%). The x-axis lists the categories, with different colors identifying each metric. | The box plots reveal variability across the boxplots, with Earthworm abundance and infiltration rate showing significant positive potential, while Soil loss shows a lower median. High interquartile for Earthworm abundance and Infilatration rate show large variability in the data. | Boxplot | Simple Boxplot |
1369b.png | This scatter plot depicts the relationship between "Security Awareness" on the x-axis and "Helper Snapshot Satisfaction" on the y-axis. Black dots represent individual data points, while the blue trend line, accompanied by a shaded confidence interval, shows a slight positive correlation between the two variables. Secu... | The scatter plot suggests a modest positive correlation between security awareness and helper snapshot satisfaction. As security awareness increases, satisfaction tends to rise, indicated by the upward slope of the blue trend line. However, the data points show considerable variability, especially at lower levels of se... | Scatter | Simple Scatter |
springer_3278.png | The chart is a pie chart shows teh distribution of 5 categories: "Abundant," "Less Abundant," "Declining," "Depleted," and "Collapsed". Each category is represetned by one slice of the pie with percentage labeled. | The largest segment, 31%, represents "Abundant", "Declining" (27%) and "Collapsed" (27%) followed. "Less Abundant" and "Depleted' have the lowest percentage, 9% and 6% respectively. | Pie | Pie |
ArXiv_3rd_495.png | This multiple line chart is titled 'Behavior Type on Twitter. It shows the F1 score on the y-axis in the range of 60 to 85, against the History Size on the x-axis in the range of 10 to 70. Three conditions are compared as indicated in the legend: Zero-shot, Std-CoT-FT, and OM-CoT-FT. | The chart shows the 'OM-CoT-FT' condition consistently outperforms other methods across all history sizes, peaking at 88 F1-score when history size is 30. The 'Std-CoT-FT' method initially performs well but drops sharply after history size 30. The 'Zero-Shot' method improves steadily from 58 to 68 F1-score with larger ... | Line | Multiple Line |
2493a.png | This pie chart illustrates the distribution of various technology categories by percentage. The chart segments are labeled as Social Media, Assistive Technology/Device, Social Augmentation/Wearables, Internet of Things, and Mobile Applications. Each segment is presented by a slice of the pie. | The data shows Social Media as the largest category at 37.9% (142 instances), followed by Assistive Technology/Device at 22.9% (86 instances), and Social Augmentation/Wearables at 18.4% (69 instances). Internet of Things represents 12.5% (47 instances), while Mobile Applications account for the smallest segment at 8.3%... | Pie | Pie |
extra2_0184.png | The chart is a pie chart. It includes a legend indicating two categories: "Progress" (18%) and "To do" (72%). The slice segment size reflect the percentage. | The chart reveals that 72% is labeled "To do", while only 18% is labeled "Progress". | Pie | Pie |
springer_1275.png | This heatmap presents the free energy landscape with Rg (nm) on the x-axis from 1.86 to 1.92 nm and RMSD (nm) on the y-axis from 0.00 to 0.30 nm. The color bar shows Gibbs free energy ranging from 0 (dark blue) to ~16 kJ/mol (red) | Two clear low-energy regions appear: one at RMSD ≈ 0.28 nm and Rg ≈ 1.91 nm, and another around RMSD ≈ 0.17 nm and Rg ≈ 1.88 nm. These suggest distinct stable conformations with minimal energy levels. | Heatmap | Heatmap |
springer_0656 copy 5.png | This boxplot is titled 'CEC2020-4' and displays the 'value', ranging from 1900 to 2800 for various algorithms. | The chart shows the highest variance and median value belongs to the 'KOA' algorithm, its median value is 2250 approximately. All other algorithms show no variance in the data and all quartiles at 1900. | Boxplot | Simple Boxplot |
ArXiv_3rd_378.png | This multiple line chart shows the Differential pressure on the y-axis from 0 bar to 1 bar, against time (in seconds) on the x-axis from 0 seconds to 2500 seconds. Three lines represent the three conditions: H2, CH4, and N2. | The chart shows that the N2 maintains the highest and most stable differential pressure as time increases, CH4 exhibits moderate oscillations around a steady mean, while N2 undergoes regular, sharp pressure drops and recoveries. | Line | Multiple Line |
arXiv_1173.png | This horizontal bar chart shows the usage percentage of preprocessing techniques across three machine learning models: Transformer, Neural Networks, and Machine Learning. The y-axis lists the three models, and the x-axis represents the usage percentage, ranging from 0% to 100%. Two categories are compared for each mode... | The chart indicates that "Neural Networks" has the highest usage percentage of preprocessing techniques, more than 75%. Meanwhile, "Transformer" and "Machine Learning" have a lower preprocessing usage percentage. Preprocessing has a higher percentage distribution than No preprocessing for all three models. | Bar | Stacked Bar |
0271.png | This grouped bar chart displays the distribution of participants’ responses to the affinity for technology scale in Study 1 and Study 2. Affinity scale is shown on the x-axis from low affinity to High affinity, Probablity Density is shown on the y-axis in the range from 0 to 0.40. | The mean affinity scale for Study 1 is below 3, while the mean affinity scale for Study 2 is slightly higher. Additionally, the distribution of participant responses suggests that affinity scale are similar in both studies. | Bar | Group Bar |
ACM_0037.png | This grouped bar chart is titled 'Number of Buckets vs. Duplicates for Implicit Requirement Tests'. The y-axis shows Number of Tests in range of 0 to 100, the x-axis shows Group ID. Two conditions are compared as indicated in the legend. Type of tests eighter Bucket or Duplicate. | In the Groups 06, 07 and 05 there where more duplicate tests done. In Group 08 there was the same amount of both tests done and in the other groups there where more bucket tests done. | Bar | Group Bar |
2313.png | This grouped bar chart illustrates the "2D Animation Success Rates". The x-axis list 4 different types of material choice, and the y-axis represents success rates in percentages, two maximum velocity conditions: 0.01 m/s and 0.03 m/s are compared for each material choice, as indicated by the legend. | Across materials, success rates are generally higher at the 0.01 m/s velocity, especially for Water, Milk, and Alcohol, where success rates approach or exceed 80%. At the higher velocity 0.03 m/s, Alcohol still maintains relatively high success. Resin has the lowerst success rates under both velocities. | Bar | Group Bar |
springer_4428.png | This multiple line chart shows the per capita inpatient costs for two conditions over the years. The x-axis shows the years from 2000 to 2022. The y-axis shows the per capita inpatient costs ranging from 0 to 4 times 10 to the power of 7. Two conditions are compared as indicated in the legend: the rural and non-rural h... | The chart shows that the inpatient costs increase as the time goes by. The increase is the steepest between 2019 and 2021. In 2021 the svore for the non-rural health insurance fund is slightly higher. | Line | Multiple Line |
extra2_0037.png | The chart is a heatmap. The horizontal axis shows predicted labels (W, N1, N2, N3, REM), while the vertical axis displays true labels. Values range from 0% to 94%. | The chart illustrates that the majority of true labels are correctly predicted, particularly for the W (94%) and REM (93%) categories, while N1 (43%) shows substantial misclassifications. | Heatmap | Heatmap |
1401a.png | This line chart is titled 'Issues Found in Two Voice Models'. it compares the "Percentage of issues found" (y-axis) against the "Number of evaluators" (x-axis) for two different heuristic evaluation methods: "Conversational agent heuristics, Alexa skill" and "Nielsen’s heuristics, Alexa skill". The percentage of issues... | The chart shows that both heuristic evaluation methods find more issues as the number of evaluators increases, but the "Conversational agent heuristics" method consistently outperforms "Nielsen’s heuristics." By the time six evaluators are used, the conversational agent heuristics method identifies around 75% of the is... | Line | Multiple Line |
springer_1776 copy 3.png | This scatter plot shows predicted versus true energy values, with both axes ranging from approximately 0 to 4. The red dashed line represents the regression line, indicating perfect predictions. Density on the right side of the y-axis ranges from 0.0 to 1.0. | Data points are mostly clustered near the origin and along the regression line, with higher density concentrated in the lower-left quadrant. However, as values increase beyond 2.5, prediction variance grows, as shown by longer error bars. This suggests that while the model performs well overall, prediction confidence d... | Scatter | Scatter plot with regression line |
springer_1292.png | This line chart shows RMSD (Å) over time (ps), with the x-axis ranging from 0 to 200,000 ps and the y-axis from 0 to 10 Å. | he RMSD starts around 2 Å and increases gradually, with fluctuations. A notable dip occurs around 120,000 ps, followed by a steady rise near 8 Å. This suggests the structure undergoes gradual conformational changes and reaches a relatively stable but flexible state toward the end. | Line | Simple Line |
Springer_2nd_0063.png | The chart is a horizontal bar graph showing Preferred Communication Methods. The y-axis lists communication methods, while the x-axis shows percentages from 0% to 70%. The legend is implicit with each bar representing a different method, marked by varying lengths. | The chart reveals that "Meetings on transport" (55.15%) is the most preferred method, followed by "Work from home" (45.15%). In contrast, "Meetings in the café" (25.19%) is the least favored, illustrating a clear preference for more direct communication methods over casual settings. | Bar | Simple Bar |
ACM_4284.png | This multiple line chart shows the relationship between the number of queries asked and the time it takes. The x-axis represents the number of queries, ranging from 10 to 100, while the y-axis represents time in seconds, ranging from 2000s to 12000s. The chart includes two methods: LOcalDecomp method and (epsilon, Del... | Both methods have an increasing trend over time, with the number of queries increasing. LocalDecmp method has faster time grows compared to the other method. | Line | Multiple Line |
arXiv_0060.png | This grouped bar chart is titled "Support Vector Machine" and shows the accuracy percentages for three different speakers: "Jackson," "Lucas," and "Jackson & Lucas" on the x-axis. The y-axis represents accuracy percentages, ranging from 0% to 50%. Two accuracy types are compared for each speaker: "Nanowire Accuracy" an... | The chart shows that the "Nanowire Accuracy" approach outperforms both "Raw Accuracy" in accuracy across all three speakers. Jackson has the highest nanowire accuracy at 37.5%, and the highest raw accuracy at 26%. Jackson has the highest accuracy performace compared to all other speakers. | Bar | Group Bar |
pie_106.png | The chart is a pie chart titled "Breakdown of Jews in Israel," showing the percentage of Israeli Jews by identity. The legend includes categories: Hiloni, Masorti, Dati, Haredi, and Other. Each category is represetend by one slice of the pie. | Hiloni Jews form the largest group at 49%, followed by Masorti at 29%. Dati and Haredi Jews account for 13% and 9%, respectively, while "Other" is less than 1%. | Pie | Pie |
arXiv_0644.png | This scatter plot shows dimension 2 on the y-axis ranging from -0.6 to 1.0 on the left, the right side of the y-axis shows various labels as conditions- Green markers (models) and Purple markers (humans). X-axis shows the dimension 1 ranging from -0.8 to 0.8. | The chart reveals that as dimension reduction proceeds, model outputs converge more tightly (reduced variance), indicating increasing consistency compared to human responses. | Scatter | Simple Scatter |
ACM_0362.png | This horizontal stacked bar chart plots shows a number for different programming statements and functions. The y-axis shows these statements and functions with a percentage after it, such as 'while-loop', 'list', 'if-else' and the x-axis is unlabeled, but has a range from 0 to 90. Every statement or function has its ow... | The chart reveals that "User input" with 34.7% has the highest count when summing up all segments at x-value 90, followed by 'if-then' with 29.4% and x-value 76. Loop-index variable has the lowest count and percentage, at 8 and 2.7% respectively. Overall, the segments 'unplugged' and 'block-based' have the highest pres... | Bar | Stacked Bar |
Springer_2nd_1653.png | The chart is a bar graph with AgNPs concentration (µg/ml) on the x-axis and cell growth percentage on the y-axis. The legend includes four treatments (28ns, 28s, 4ns, 4s). The y-axis scale ranges from 0 to 120%, and the x-axis has varying AgNPs concentrations from 0 to 25 µg/ml. | Cell growth is largest at lower AgNP concentrations, with significant reductions in growth with concentrations from 1.56 onwards, indicating a threshold for toxicity. Clear trends show similar behavior among the four different scenartios, but 28s and 4s outperform the other two models slightly in terms of percentage. | Bar | Group Bar |
ACM_0080.png | This stacked bar chart is not titled. The x-axis represents the questions Q1-Q8, and the y-axis shows the proportion of responses ranging from 0 to 1. Each bar is segmented into- response categories: Strongly Agree, Agree, Neutral, Disagree, Strongly Disagree, and Unsure. | The chart reveals that most responses are either with "Strongly Agree" and "Agree". "Strongly Disagree" is the least common response. | Bar | Stacked Bar |
extra_0420.png | This pie chart shows the breakdown of three method categories: Plate culture method, Nucleic acid-based method, and Biochemical method. Each category is represented by one slice of the pie, with the percentage labelled. | The chart shows that the "Plate culture method" is the most prevalent at 54.55%. The "Nucleic acid-based method" follows at 40.91%, the "Biochemical method" holds a marginal 4.55%. | Pie | Pie |
Springer_3rd_031.png | This pie chart is titled 'Accuracy'. It shows the distribution of three models: 'SVM', 'Max Ent', and 'NBM'. Each model takes up one slice of the pie, with the percentage labelled. | The chart shows that the 'SVM' model has the highest percentage in accuracy, with 34.2%. The 'Max Ent' has 33.5%, and the 'NBM' model has 32.4%. | Pie | Pie |
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