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Automatic Classification of Signal and Noise in Functional Magnetic Resonance Imaging Scans Using Coto 98% accuracy on the validation set. The results indicate that CNNs can effectively replace traditional Independent Component Analysis (ICA) methods by leveraging their capability for automatic feature extraction and end-to-end learning.惰性气体 发表于 2025-3-31 04:44:51
CSSDH: An Ontology for Social Determinants of Health to Operational Continuity of Care Data InteropeF) emphasizing the need for patient-centric access and control of healthcare data. In this paper, we propose an integrated ontological model, the ., by combining ISO/DIS 13940:2024 ContSys with WHO Social Determinants of Health. CSSDH aims to achieve interoperability within the Continuity of Care Ne外貌 发表于 2025-3-31 07:45:25
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Multimodal Visio-Lingual Content Analysis to Detect Fake Content on Redditg a competent accuracy in binary classification tasks (0.9506 acc.) with significant hardware limitations, and outperforming the SotA in more complex categorization tasks, with 0.9509 acc. and 0.9371 acc. in 3-way and 6-way label classification, respectively.Pruritus 发表于 2025-3-31 16:07:32
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Intelligent Data Engineering and Automated Learning – IDEAL 202425th International Ctenosynovitis 发表于 2025-3-31 23:11:19
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