AI service hub unifies smart-grid sensing, prediction and control
A benchmark study found that an AI service hub combining sensor, text and visual data achieved high fault-detection and maintenance ...
A benchmark study found that an AI service hub combining sensor, text and visual data achieved high fault-detection and maintenance ...
Researchers at TU Braunschweig have built a transparent, human-in-the-loop decision-support system that fuses maintenance, inventory, bottleneck, and passenger-assistance signals into ...
A comprehensive review of 120 studies finds that hybrid AI and machine learning architectures are transforming electric vehicle battery management, ...
A new YOLO-based framework called GSDD-Net detects subtle gear surface defects in cluttered industrial images with higher accuracy, a smaller ...
Researchers at Cranfield University built a digital twin of aircraft electromechanical actuators that generated 70,000 labelled fault simulations to train ...
A new review shows that hybrid deep learning and swarm-optimized AI models are achieving near-perfect prediction of lithium-ion battery charge, ...
Researchers in Sweden have built a six-stage, 147-task development framework designed to help manufacturing teams integrate human work into AI ...
A compact deep learning model that mathematically separates normal machining signals from anomalous disturbances has set new benchmarks for predicting ...
A systematic review of 45 studies finds digital twin research is booming but remains largely prototype-stage, lacking rigorous evaluation on ...
A controlled benchmark of MOMENT, UniTS, and FFTS on the C-MAPSS turbofan dataset shows time-series foundation models generalize across imputation, ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine