Tag: Machine learning

A new machine learning framework called Replication-Free Data Management uses Random Forest classification and conditional scheduling to eliminate duplicate records ...

A new multiscale heterogeneous graph transformer called HierHGT-DTI achieves large gains in cold-start drug-target interaction prediction, especially for protein targets ...

Researchers have compiled superplasticity data for nanostructured and ultrafine-grained high-entropy alloys and shown that machine learning models can predict which ...

Chinese researchers used extractive electrospray ionization mass spectrometry and machine learning to detect lung cancer from exhaled breath with over ...

A new evidence map of 126 studies shows artificial intelligence can accelerate PFAS toxicology and risk assessment, but only when ...

A new EEG study finds that altered transitions between the brain's brief electrical microstates, combined with source-space connectivity features, can ...

Researchers have built a dual-agent deep reinforcement learning framework that classifies market strength using classic technical indicators and dynamically selects ...

A new benchmarking study in BMC Genomics shows that a hybrid method combining a One-Class Support Vector Machine with Fisher's ...

Researchers used compulsory veterinary notifications of the only licensed babesiosis treatment to map, with machine learning, how autumn cooling, atmospheric ...

A new review details how activatable MRI nanoprobes that switch on only inside tumors are transforming cancer imaging and immune ...