A hybrid deep learning framework predicts learner assessment outcomes from engagement data captured in the first quarter of online courses,...

A comprehensive review in Molecular Systems Biology traces how deep learning, foundation models, and emerging modalities are reshaping image-based profiling,...

Researchers at Kocaeli University combined RGB video features and skeleton-based motion features in a multimodal deep learning framework that detects...

Artificial intelligence has been creeping into the machinery of science for years, but a new benchmark from Johns Hopkins researchers...

A new training-free algorithm called LORIS cleans Cauchy noise from images using adaptive median centering and Cauchy-IRLS regeneration, beating strong...

A new geometric deep learning framework called TraSPIN uses protein language models and graph learning to predict which small molecules...

Researchers have built SpudNet5-R3, a lightweight explainable convolutional neural network that detects potato early and late blight with up to...

A hybrid Transformer-BiLSTM deep learning framework with a dual nature-inspired feature selection method reports up to 99 percent accuracy in...

A new graph neural network framework evaluates dance training in real time and automatically adapts practice plans, achieving record accuracy...

A sweeping review of 1,081 studies from 2014 to 2024 shows convolutional neural networks rapidly becoming the world's leading tool...