A year-long study of a rural Spanish energy community found that simple machine learning models statistically outperformed deep learning at...

Researchers have built a hybrid LSTM-BiLSTM deep learning model that adapts to seasonal wind patterns and outperforms transformers while using...

Researchers have developed a spatial-temporal graph attention network that lets scattered smart devices collaborate as an ad-hoc microphone array, cutting...

A compact back-propagation neural network trained on multi-project mining records predicts the height of water-conducting fracture zones above repeated coal...

FDA researchers have built HistoART, a system that uses a fine-tuned pathology foundation model to detect six common artifact types...

A new deep learning model called CWT-AuxNet converts wavelet-based time-frequency representations of uterine electrical recordings into individualized preterm birth risk...

Researchers at the University of Alicante have developed a two-stage detection system combining Shannon entropy analysis with deep learning to...

A systematic review of 28 studies finds that artificial intelligence can sharpen university curriculum evaluation through personalisation, predictive analytics and...

Researchers in China have developed REF-VMUNetUp, a Mamba-based network with rotary position embeddings and dynamic upsampling that improves multi-organ segmentation...

Researchers at Guizhou Power Grid show that a compact large language model grounded in a digital power grid knowledge base...