High-precision transportation intelligence, powered by Nearmap high-recency aerial imagery and Ecopia's AI feature extraction, delivers decision-ready geospatial context at scale SALT LAKE CITY, Jan.

Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...

The core idea of LCQHNN is to center on quantum feature amplification (Quantum Feature Amplification) while combining a classical stability optimization strategy, establishing an efficient information ...

The integration of artificial intelligence (AI) with imaging has emerged as a transformative force in the field of oral oncology. Oral cancer remains a ...

Spatiotemporal Evolution Patterns and Intelligent Forecasting of Passenger Flow in Megacity High-Speed Rail Hubs: A Case ...

GOG-RT-DETR improves graphite ore grade detection, combining deep learning innovations for faster, more accurate mineral analysis in resource-limited settings.

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...

Abstract: Transient simulation is the key to ensure the safe and stable operation of power systems. After large disturbances, power systems may experience transient rotor angle instability and ...