112 citations to https://www.mathnet.ru/rus/danma350
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Gabriel Assis, Ayrton Surica, Pedro Kroll, Carina Munhoz, Darian Rabbani, Edson Bollis, Lucas Pellicer, Aline Paes, Proceedings of the 6th ACM International Conference on AI in Finance, 2025, 847
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Sudhakar Tummala, Sajjad Hussain Chauhdary, Vikash Singh, Roshan Kumar, Seifedine Kadry, Jungeun Kim, “Lightweight Residual Multi-Head Convolution with Channel Attention (ResMHCNN) for End-to-End Classification of Medical Images”, CMES, 144:3 (2025), 3585
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Sankani Sarathchandra, Eslam Eldeeb, Mohammad Shehab, Hirley Alves, Konstantin Mikhaylov, Mohamed-Slim Alouini, “Age and Power Minimization via Meta-Deep Reinforcement Learning in AAV Networks”, IEEE Trans. Veh. Technol., 74:11 (2025), 16839
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S. G. Mudarisov, I. R. Miftakhov, I. M. Farkhutdinov, B. Z. Bikbulatov, “Plant disease diagnostics using an unmanned aerial vehicle with low-power computing modules”, Sib. vestn. s-h. nauki, 55:10 (2025), 88
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Varaha Satya Bharath Kurukuru, Mohammed Ali Khan, Yubo Song, Subham Sahoo, Stefan Mollov, 2025 Energy Conversion Congress & Expo Europe (ECCE Europe), 2025, 1
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Haytham Elmousalami, Nehal Elshaboury, Ahmed H. Elyamany, “Green artificial intelligence for cost-duration variance prediction (CDVP) for irrigation canals rehabilitation projects”, Expert Systems with Applications, 249 (2024), 123789
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Kouider Chadli, Goetz Botterweck, Takfarinas Saber, Proceedings of the 4th Workshop on Machine Learning and Systems, 2024, 200
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Rachit Dhiman, Sofia Miteff, Yuancheng Wang, Shih-Chi Ma, Ramila Amirikas, Benjamin Fabian, “Artificial Intelligence and Sustainability—A Review”, Analytics, 3:1 (2024), 140
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Yasir Ali, Fizza Hussain, Md Mazharul Haque, “Advances, challenges, and future research needs in machine learning-based crash prediction models: A systematic review”, Accident Analysis & Prevention, 194 (2024), 107378
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Vadim Korolev, Artem Mitrofanov, “Coarse-Grained Crystal Graph Neural Networks for Reticular Materials Design”, J. Chem. Inf. Model., 64:6 (2024), 1919