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Concurrent Carbon Footprint Reduction (C2FR) Reinforcement Learning Approach for Sustainable Data Center Digital Twin., , , , , , , и . CASE, стр. 1-8. IEEE, (2023)Multi-Agent Reinforcement Learning Controller to Maximize Energy Efficiency for Multi-Generator Industrial Wave Energy Converter., , , , , , , , и . AAAI, стр. 12135-12144. AAAI Press, (2022)Detecting Cognitive Fatigue in Subjects with Traumatic Brain Injury from FMRI Scans Using Self-Supervised Learning., , , , и . PETRA, стр. 83-90. ACM, (2023)A survey on contrastive self-supervised learning, , , , и . Technologies, 9 (1): 2 (2021)Towards Deep Learning based Hand Keypoints Detection for Rapid Sequential Movements from RGB Images., , , , и . PETRA, стр. 31-37. ACM, (2018)Facial Expressions as a Modality for Fatigue detection in Robot based Rehabilitation., , , и . PETRA, стр. 112-113. ACM, (2018)MyoDrive: A new way of interacting with mobile devices., , , и . PETRA, стр. 18. ACM, (2016)Carbon Footprint Reduction for Sustainable Data Centers in Real-Time., , , , , , , , и . CoRR, (2024)Sustainability of Data Center Digital Twins with Reinforcement Learning., , , , , , и . CoRR, (2024)A Robot-Based Cognitive Assessment Model Based on Visual Working Memory and Attention Level., , , , и . HCI (7), том 10907 из Lecture Notes in Computer Science, стр. 583-597. Springer, (2018)