AI-powered framework combines CNNs and knowledge graphs to detect credit ... "By integrating CNNs with knowledge graph theory, we built a system that strengthens predictive accuracy while supporting ...

This important study presents a compelling theoretical framework for understanding phase separation of membrane-bound proteins, with a focus on the organization of tight junction components. By ...

To address these challenges, we propose MSCLF: A multi-subject contrastive learning framework for consistent EEG representation in stereoscopic visual discomfort detection. The framework integrates ...

Close Circuits Television (CCTV) Cameras are widely used to surveillance normal and anomalous incidents. Real-world anomaly detection in complex environment situations is a significant challenge due ...

bDepartment of Rehabilitation Medicine, VU University Medical Centre, Amsterdam Movement Sciences and Amsterdam Neuroscience, Amsterdam, Netherlands ...