Explainable Dual-Path AI Reaches 98.6% Accuracy in Reading Emotions from Speech
Researchers report an explainable dual-path attention convolution network that classifies emotions in speech with 98.6% accuracy on the RAVDESS benchmark ...
Researchers report an explainable dual-path attention convolution network that classifies emotions in speech with 98.6% accuracy on the RAVDESS benchmark ...
A new case report describes how an isolated procalcitonin elevation discovered during routine testing led to the diagnosis of otherwise ...
A large single-center study of 1,059 patients shows imaging-guided core needle biopsy achieved a conclusive diagnosis in 96.6 percent of ...
A large-scale genomic study finds that the global rise of monophasic Salmonella Typhimurium ST34 was driven by an ordered sequence ...
A large-scale computational review of 3,268 works maps the rapidly shifting landscape of AI research in the public sector and ...
A new mouse study shows Korean red ginseng protects the intestine from PM2.5 damage by curbing oxidative stress, preserving tight ...
A new special issue in Medical & Biological Engineering & Computing showcases how deep learning is transforming ultrasound image segmentation, ...
The new SVPG method uses pangenome graphs to detect structural variants accurately from long-read sequencing data while rapidly incorporating new ...
A three-wave longitudinal study links positive teacher–student relationships to lower adolescent suicide risk through reduced perceived burdensomeness and greater psychological ...
A portable, low-cost adaptive low-intensity pulsed ultrasound system significantly accelerated fracture healing and delivered clinically meaningful improvement in chronic tendinopathy ...
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© 2025 Scienmag - Science Magazine