title: NEURAL NETWORK MODEL FOR DETECTING LEAKS IN THE WATER SUPPLY AND DISTRIBUTION SYSTEM OF THE SOUTHERN COAST OF CRIMEA
abstract: The water supply and distribution system often face the problem of leaks, which pose risks to the uninterrupted water supply of the population. At the same time, traditional diagnostic methods often do not allow leaks to be detected before obvious consequences appear. Within the framework of this study, a machine learning model has been developed designed for early detection of leaks in SPRW. To form a training sample, hydraulic modeling was performed using the ZuluGIS geoinformation system. Dur
journal: Construction and industrial safety