49 citations to https://www.mathnet.ru/rus/danma350
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Lucas Greif, Fabian Röckel, Andreas Kimmig, Jivka Ovtcharova, “A systematic review of current AI techniques used in the context of the SDGs”, Int J Environ Res, 19:1 (2025)
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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
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Luca Gherardini, Varun Ravi Varma, Karol Capała, Roger Woods, Jose Sousa, “CACTUS: A Comprehensive Abstraction and Classification Tool for Uncovering Structures”, ACM Trans. Intell. Syst. Technol., 15:3 (2024), 1
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Luís Serrador, Francesca Pia Villani, Sara Moccia, Cristina P. Santos, “Knowledge distillation on individual vertebrae segmentation exploiting 3D U-Net”, Computerized Medical Imaging and Graphics, 113 (2024), 102350
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Roshnie Anita Doon, Advances in Logistics, Operations, and Management Science, Generative AI and Multifactor Productivity in Business, 2024, 160
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Abdulmomen Ghalkha, Chaouki Ben Issaid, Anis Elgabli, Mehdi Bennis, “DIN: A Decentralized Inexact Newton Algorithm for Consensus Optimization”, Trans. Mach. Learn. Comm. Netw., 2 (2024), 663