Tag: Machine learning

Researchers have developed a style-aware attention transformer that recognizes fine-grained interior design styles by focusing on textures, materials, and color ...

A new three-stage algorithm called FS-GSR combines graph-based scoring with sparse reconstruction to select compact, high-performing feature subsets from high-dimensional ...

Researchers in India combined convolutional neural networks, a bird-inspired optimization algorithm, and graph neural networks to identify four promising asthma ...

High-resolution Raman spectroscopy of purified RNA from 20 SARS-CoV-2 variants and subvariants yields unique structural barcodes that classify strains without ...

A new BMC Medicine review argues that learning health systems, powered by artificial intelligence, interoperable data, and continuous quality improvement, ...

Researchers in northern Iran combined satellite-derived terrain attributes with a support vector machine and factor analysis to map soil quality, ...

A pathology-validated MRI habitat analysis combining structural and physiologic sequences distinguished recurrent brain metastases from radiation necrosis with an area ...

Researchers in Maharashtra trained a three-layer deep neural network on pollutant data from Solapur's municipal monitoring station, achieving an R-squared ...

A new hierarchical reinforcement learning framework called HALSI learns latent skills of flexible duration, achieving up to 30% higher returns ...

Researchers at KAUST have developed SALS-BioC, an open-source AI simulator that predicts bacterial concentrations in wastewater treatment plants from routine ...