Titlebook: Intelligent Data Engineering and Automated Learning – IDEAL 2024; 25th International C Vicente Julian,David Camacho,Antonio Tallón-Balles C

平息

Scintillations

BRIEF

破译

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

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

Irritate

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

老人病学

Intelligent Data Engineering and Automated Learning – IDEAL 202425th International C

tenosynovitis