New AI Network Reads Radar Echoes to Spot Rogue Drones With 99% Accuracy
Researchers have developed RViTCANet, a multimodal deep learning framework that recognizes drones from millimeter wave radar cross section data with ...
Researchers have developed RViTCANet, a multimodal deep learning framework that recognizes drones from millimeter wave radar cross section data with ...
Researchers have developed a transformer-based multimodal AI model that accurately identifies sarcopenia and severe sarcopenia in gastric cancer patients using ...
A new multimodal Transformer framework called MFT-Net dynamically re-weights clicks, speech, gestures, and facial expressions to recognize 18 categories of ...
A new review in the Journal of Ovarian Research maps how artificial intelligence is fusing hormones, imaging, clinical records, and ...
Researchers have developed BFA-HARF, a tracking framework that aligns visible and thermal features bidirectionally before fusing them with hybrid attention, ...
Researchers have developed AI-TEACH, a multimodal AI framework that detects and scores classroom distraction in real time with 90% accuracy ...
Researchers in India have developed a hybrid convolutional neural network and vision transformer that fuses text, speech, video and physiological ...
A new review in the International Journal of Legal Medicine details how the eye's vitreous humor, shielded by the blood-retinal ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine