Fox-Inspired AI Sharpens Short-Term Ocean Wind Speed Forecasts
Researchers at Guangdong Ocean University have developed a hybrid IFOX-FTSKAN framework that combines an improved fox-inspired optimization algorithm with a ...
Researchers at Guangdong Ocean University have developed a hybrid IFOX-FTSKAN framework that combines an improved fox-inspired optimization algorithm with a ...
Researchers have unveiled a meta-learning model that recognizes ship types from underwater sound using only a few examples while retaining ...
Researchers in China have developed HSF-Net, a hybrid-scale fusion deep learning network that achieved an 83.4 percent Dice score in ...
Researchers in India have developed a graph neural network framework called TADGLN-LSTM that quantifies how individual scientists' research topics drift ...
A semi-automated AI segmentation framework converts routine cervical spine MRI into quantitative measures of disc degeneration that correspond with standard ...
Researchers trained a convolutional neural network to detect and characterize eating disorder discourse on Weibo, uncovering five major themes in ...
A controlled ablation study shows that classifier design and optimisation, not cross-attention alone, account for most of the improvement a ...
A deep learning system called OncoPetNet helped veterinary pathologists detect roughly twice as many mitotic figures in canine soft tissue ...
Researchers have developed a compact optimized convolutional neural network framework that classifies multiple lung diseases from CT and chest X-ray ...
Researchers have built a five-branch hybrid deep learning framework called ADAPT-FUSE that predicts cross-border e-commerce delivery delays with competitive accuracy ...
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© 2025 Scienmag - Science Magazine