112 citations to https://www.mathnet.ru/rus/danma350
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Georgios Theodorou, Sophia Karagiorgou, Christos Kotronis, 2024 IEEE International Conference on Big Data (BigData), 2024, 3788
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Anupam Borthakur, Aditya Kasliwal, Asim Manna, Dipyan Dewan, Debdoot Sheet, 2024 2nd International Conference on Federated Learning Technologies and Applications (FLTA), 2024, 47
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Aditya Ukarande, Toygun Basaklar, Mingcong Cao, Umit Ogras, Proceedings of the 29th ACM/IEEE International Symposium on Low Power Electronics and Design, 2024, 1
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Dariush Salami, Francesc Wilhelmi, Lorenzo Galati-Giordano, Mika Kasslin, GLOBECOM 2024 - 2024 IEEE Global Communications Conference, 2024, 968
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Ijaz Ahmad, Muzammal Hoque, Jyrki Huusko, Jani Suomalainen, 2024 IEEE Future Networks World Forum (FNWF), 2024, 32
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Stephen R Piccolo, Aparna Nathan, Michelle D Brazas, Manoj Kandpal, Aida T Miró-Herrans, Adam J Kleinschmit, Susan McClatchy, Pertunia Mutheiwana, Dusanka Nikolic, Luciana I Gallo, Rolanda Sunaye Julius, Marta Lloret-Llinares, Nicola Mulder, Danielle Presgraves, Sonal Shewaramani, Jorge Xool-Tamayo, Frédéric J J Chain, Silvia Arantza Sanchez Guerrero, Alex Bateman, “Opportunities and considerations for using artificial intelligence in bioinformatics education”, Bioinformatics Advances, 5:1 (2024)
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X. Li, T. Wang, L. Li, “Impact optical communication model in sustainable building construction over the carbon footprint detection using quantum networks”, Opt. Quant. Electron., 55:10 (2023), 912
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S. Elio, D. Rony, T. Anthony, “Cost-effective tweet classification through transfer learning in low-resource NLP settings”, 2023 IEEE 4th International Multidisciplinary Conference on Engineering Technology (IMCET) (Beirut, Lebanon, 2023), 2023, 264
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I. Mavromatis, S. De Feo, P. Carnelli, R. J. Piechocki, A. Khan, “FROST: Towards energy-efficient AI-on-5G Platforms – A GPU power capping evaluation”, 2023 IEEE Conference on Standards for Communications and Networking (CSCN) (Munich, Germany, 2023), 2023, 195
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A. Kopyto, B. Wachnik, Z. Chyba, K. Adamiak, “Quantitative analysis of the carbon footprint occurrence resulting from the transaction execution in the ERP system”, International Journal of New Economics and Social Sciences, 18:2 (2023), 41