Tag: deep learning

A new lightweight deep learning model called WheatNet detects and counts individual wheat seedlings in complex field images with record ...

For millions of people living with gout, the painful reality of the disease is written in lumps of crystallized uric ...

Researchers have built a two-stage deep learning system in which a transformer makes an initial electricity demand forecast and an ...

A deep neural network lost the accuracy race against random forest and SVM on a genetic disease benchmark, but its ...

A dual-pathway deep learning model from Algiers predicts tuberculosis drug resistance with over 95 percent accuracy while auditing sequencing quality ...

Every year, millions of women undergo breast imaging that reveals a finding of uncertain significance—a shadow on a mammogram, a ...

Researchers combined deep learning, grey wolf optimization, explainable heatmaps and a Gemini-powered chatbot to detect finger millet diseases with 98.36 ...

Researchers at Xinjiang University developed BGAFS-UNet, a boundary-aware deep learning architecture that improves retinal vessel segmentation fidelity while openly documenting ...

Researchers at VIT Chennai have developed a compact 4.8-million-parameter AI framework that restores speech degraded by noise, reverberation, and bandwidth ...

A new deep learning framework detects violent incidents in real surveillance footage with 90 percent accuracy while running fast enough ...

A random forest pseudo-labeling pipeline trains a compact deep learning model to segment freeze damage pixel-wise in hyperspectral imagery, cutting ...

Researchers at the Vellore Institute of Technology developed three hybrid deep learning models combining convolutional networks, transformers, and clinical metadata ...

Researchers have built a three-layer AI framework for 5G mobile learning that cuts device energy use by up to 27 ...

Researchers in India report a hybrid dual-attention pyramidal deep learning model that detects liver tumors on CT scans with 96.52 ...

A dual-graph deep learning network that hard-codes petroleum physics alongside learned statistics cuts oil production prediction error to about 20 ...

A multicenter study shows a 2.5D Transformer-based AI framework combining clinical data, MRI radiomics and deep learning can reliably distinguish ...

A new explainable transformer that combines frequency-domain analysis and topology-aware structural modeling achieves 97.86 percent accuracy in classifying eight retinal ...

A new spatio-temporal graph network models players and the ball as a dynamic graph, detecting key match events and tactical ...

Researchers in Kazakhstan have developed a two-stage deep learning method that forecasts the solar spectrum itself and uses it to ...

A research team has enhanced YOLOv8-Pose with a StarNet backbone, motion-relevant attention, and a composite keypoint loss to jointly classify ...