Hjort-YOLO: A Leaner AI Spots Wildlife Faster in the Toughest Forest Scenes
Researchers in Norway have developed Hjort-YOLO, a lightweight and explainable AI framework that detects wildlife from camera-trap images faster and ...
Researchers in Norway have developed Hjort-YOLO, a lightweight and explainable AI framework that detects wildlife from camera-trap images faster and ...
A two-stage machine learning framework can predict health insurance claim denials before submission and assign likely reason codes, achieving a ...
A multi-region computer vision framework uses YOLO detection, depth estimation and explainable AI to extract anatomical features for automated body ...
A new study shows deep learning EEG classifiers gain inflated accuracy from visual instruction cues rather than genuine motor imagery ...
A new explainable reinforcement learning framework called XEACH extends the lifetime of smart-city IoT sensor networks by up to 88 ...
A study of more than 33,000 Spanish adolescents using machine learning and logistic regression identifies sex, problematic internet use, substance ...
Researchers have built SpudNet5-R3, a lightweight explainable convolutional neural network that detects potato early and late blight with up to ...
An international Delphi study of 70 experts from 18 countries led by Kumamoto University identifies five priorities, from AI competencies ...
Researchers trained an explainable machine learning pipeline that predicts smartphone addiction from behavioral usage data with 97.8 percent accuracy, identifying ...
A new review examines how artificial intelligence and machine learning could transform the design of sustainable, non-toxic marine antifouling coatings ...
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© 2025 Scienmag - Science Magazine