Researchers have introduced DACD, a dynamic adaptive learning method that detects concept drift in streaming data with a window-based CUSUM...

Researchers at Wuhan University have developed YOLO-CSM, an enhanced YOLOv11n-based AI framework that detects microplastics with 92.06% mAP50 accuracy at...

Researchers have developed an evidential deep learning framework that detects stroke with near-perfect accuracy while quantifying its own uncertainty in...

A new lightweight deep learning framework called LCASP-MMANet achieves state-of-the-art sign language recognition accuracy while remaining efficient enough for real-world,...

Researchers at Dalian University of Technology have developed PD-Dehaze, a progressive diffusion framework that restores haze-degraded photographs with stable coarse-to-fine...

Researchers in Saudi Arabia have developed a GNN-GRU-MLP deep learning framework that fuses multi-sensor marine time-series data to classify coastal...

Researchers in Cairo have developed a hybrid CNN–BiLSTM deep learning model fed by IoT sensor data that forecasts urban traffic...

Researchers have built a two-step deep learning pipeline that detects and classifies biostratigraphically important Devonian miospores from Armenia with high...

A machine-learning analysis of more than 900 snow penetration profiles in the Weddell Sea shows that Antarctic sea ice snowpacks...

Researchers at the University of Essex and British Telecom have built an AI video auditing system that combines fuzzy logic,...