112 citations to https://www.mathnet.ru/rus/danma350
  1. Salvatore Borraccia, Elio Masciari, Enea Vincenzo Napolitano, Lecture Notes in Computer Science, 16046, Database and Expert Systems Applications, 2026, 329  crossref
  2. M.Z. Naser, “When machine learning models retire, decay, or become obsolete: A review on algorithms, software, and hardware”, Renewable and Sustainable Energy Reviews, 226 (2026), 116231  crossref
  3. Daniel Geißler, Mengxi Liu, Bo Zhou, Sungho Suh, Paul Lukowicz, Lecture Notes in Computer Science, 15839, Architecture of Computing Systems, 2026, 140  crossref
  4. Tidenek Fekadu Kore, David Sarramia, Myoung-Ah Kang, François Pinet, Lecture Notes in Computer Science, 15928, Database Engineered Applications, 2026, 171  crossref
  5. Natascha Brughitta Anchia, Andreas Martin, Communications in Computer and Information Science, 2784, Artificial Intelligence Research, 2026, 452  crossref
  6. 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)  crossref
  7. Ina K. Schieferdecker, Lecture Notes in Computer Science, 15217, Bridging the Gap Between AI and Reality, 2025, 3  crossref
  8. Shichuan Li, Xiang Liu, “Exploring the Influencing Factors of Carbon Footprint Tracking Application Usage Intention: A Combined UTAUT and NAM Approach”, IEEE Access, 13 (2025), 316  crossref
  9. Saptarshi Biswas, Sumagna Dey, Subhrapratim Nath, “Learning Rate Tuner with Relative Adaptation (LRT-RA): Road to Sustainable Computing”, AppliedMath, 5:1 (2025), 8  crossref
  10. Peter B.R. Hartog, Annie M. Westerlund, Igor V. Tetko, Samuel Genheden, “Investigations into the Efficiency of Computer-Aided Synthesis Planning”, J. Chem. Inf. Model., 2025  crossref
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