112 citations to https://www.mathnet.ru/rus/danma350
  1. 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  crossref
  2. 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  crossref
  3. 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  crossref
  4. 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  crossref
  5. Varaha Satya Bharath Kurukuru, Mohammed Ali Khan, Yubo Song, Subham Sahoo, Stefan Mollov, 2025 Energy Conversion Congress & Expo Europe (ECCE Europe), 2025, 1  crossref
  6. 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  crossref
  7. Kouider Chadli, Goetz Botterweck, Takfarinas Saber, Proceedings of the 4th Workshop on Machine Learning and Systems, 2024, 200  crossref
  8. Rachit Dhiman, Sofia Miteff, Yuancheng Wang, Shih-Chi Ma, Ramila Amirikas, Benjamin Fabian, “Artificial Intelligence and Sustainability—A Review”, Analytics, 3:1 (2024), 140  crossref
  9. 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  crossref
  10. Vadim Korolev, Artem Mitrofanov, “Coarse-Grained Crystal Graph Neural Networks for Reticular Materials Design”, J. Chem. Inf. Model., 64:6 (2024), 1919  crossref
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