Tag: Machine learning

Researchers used an explainable machine learning model built from 216 diverse VEGFR-2 inhibitors to discover a novel naphthalene-substituted phthalazine compound ...

A year-long dual-laboratory study of 51 healthy donors shows that immunoglobulin subclass levels are remarkably stable within individuals yet vary ...

Researchers have created a hybrid onboard model for turboshaft engines that combines component-level physics simulations with sparse flight data calibration, ...

A new phased client selection method for federated learning improves accuracy, cuts training time and communication costs, and strengthens defenses ...

A new graph neural network study of spatial transcriptomics finds that attention mechanisms, not elaborate edge features, drive accurate identification ...

A study of nearly 12,000 patients found that leading large language models matched or exceeded an intermediate ophthalmologist in recommending ...

A systematic review of 207 studies finds that machine learning models, especially convolutional neural networks and random forests, consistently beat ...

Researchers at Anhui Agricultural University have developed DE-TabNet, a semi-supervised AI model that detects sensor faults in smart drip irrigation ...

Researchers in China developed an interpretable multi-ensemble machine learning method combining ADASYN oversampling and soft voting that classifies dual-medium tight ...

Researchers have combined machine learning and Bayesian inference to reconstruct incomplete records and derive more physically consistent seismic fragility curves ...