AI Spots Microplastics Faster Than Ever With Upgraded YOLOv11 Detector
Researchers at Wuhan University have developed YOLO-CSM, an enhanced YOLOv11n-based AI framework that detects microplastics with 92.06% mAP50 accuracy at ...
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 built a two-step deep learning pipeline that detects and classifies biostratigraphically important Devonian miospores from Armenia with high ...
Brazilian researchers used a YOLO-based deep learning model to quantify internal insect injury in sugarcane stalks, showing that continuous injury ...
A Turkish research team trained a YOLOv11x deep learning model on more than 1,500 CBCT scans to automatically classify midpalatal ...
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© 2025 Scienmag - Science Magazine