| Prediction of mechanical properties of highly functional lightweight fiber-reinforced concrete based on deep neural network and ensemble regression trees methods SA Stel’makh, EM Shcherban’, AN Beskopylny, LR Mailyan, B Meskhi, ... Materials 15 (19), 6740, 2022 | 15 | 2022 |
| Discovery and classification of defects on facing brick specimens using a convolutional neural network AN Beskopylny, EM Shcherban’, SA Stel’makh, LR Mailyan, B Meskhi, ... Applied Sciences 13 (9), 5413, 2023 | 8 | 2023 |
| Detecting Cracks in Aerated Concrete Samples Using a Convolutional Neural Network AN Beskopylny, EM Shcherban’, SA Stel’makh, LR Mailyan, B Meskhi, ... Applied Sciences 13 (3), 1904, 2023 | 6 | 2023 |
| Image Augmentation Program AN Beskopylny, SA Stel’makh, EM Shcherban, IF Razveeva, AN Kozhakin, ... Russian Federation Computer Program 2022685192, 21, 2022 | 5 | 2022 |
| Prediction of the Compressive Strength of Vibrocentrifuged Concrete Using Machine Learning Methods AN Beskopylny, SA Stel’makh, EM Shcherban’, LR Mailyan, B Meskhi, ... Buildings 14 (2), 377, 2024 | 2 | 2024 |
| Analysis of Geometric Characteristics of Cracks and Delamination in Aerated Concrete Products Using Convolutional Neural Networks I Razveeva, A Kozhakin, AN Beskopylny, SA Stel’makh, EM Shcherban’, ... Buildings 13 (12), 3014, 2023 | 2 | 2023 |
| Method for Concrete Structure Analysis by Microscopy of Hardened Cement Paste and Crack Segmentation Using a Convolutional Neural Network AN Beskopylny, EM Shcherban’, SA Stel’makh, LR Mailyan, B Meskhi, ... Journal of Composites Science 7 (8), 327, 2023 | 2 | 2023 |
| Detection and Dispersion Analysis of Water Globules in Oil Samples Using Artificial Intelligence Algorithms AN Beskopylny, A Chepurnenko, B Meskhi, SA Stel’makh, EM Shcherban’, ... Biomimetics 8 (3), 309, 2023 | 1 | 2023 |
| Анализ эксплуатационных факторов, которые могут приводить к разгерметизации ТВС ВВЭР ИА Евдокимов, ВВ Лиханский, АА Сорокин, ВГ Зборовский, ... Известия высших учебных заведений. Ядерная энергетика, 111-122, 2014 | 1 | 2014 |
| Prediction of the Properties of Vibro-Centrifuged Variatropic Concrete in Aggressive Environments Using Machine Learning Methods AN Beskopylny, SA Stel’makh, EM Shcherban, I Razveeva, A Kozhakin, ... Buildings 14 (5), 1198, 2024 | | 2024 |
| ПРИМЕНЕНИЕ НЕЙРОСЕТЕВОГО ПОДХОДА И МЕТОДА НА ОСНОВЕ ТЕОРИИ СЛУЧАЙНЫХ ФУНКЦИЙ ДЛЯ КЛАССИФИКАЦИИ ОБЪЕКТОВ ПО ИХ АКУСТИЧЕСКИМ ИЗЛУЧЕНИЯМ АН Кожакин, РЕ Копейкин, АП Шадрин Известия Самарского научного центра Российской академии наук 24 (1 (105)), 79-87, 2022 | | 2022 |
