Fuzzy–Rough Sets Speed Up the Hunt for Cancer Genes in Microarray Data
Researchers at SRM University have developed a fuzzy–rough set-based gene selection method that consistently shortens selection time across nine benchmark ...
Researchers at SRM University have developed a fuzzy–rough set-based gene selection method that consistently shortens selection time across nine benchmark ...
The 2026 MRS International Risk Conference in Honolulu brought together over 300 scholars to examine artificial intelligence and climate risk ...
A new review details how nanomaterials from MOFs to MXenes are pushing electrochemical sensors toward ultrasensitive applications in healthcare, environmental ...
A machine learning framework trained on more than 13,000 granite samples classifies tectonic settings with 91 percent accuracy while SHAP ...
Researchers at Lanzhou University have developed AMGFM, a multimodal AI model that fuses EEG, eye movement, and pupil signals to ...
Researchers used radiomics and machine learning on routine dental cone-beam CT scans to show that the odontoid process of the ...
Researchers in Greece have developed a two-stage framework combining kinematic-aware AIS data preprocessing with a bidirectional recurrent network to predict ...
A systematic review of 27 studies and 58 prediction models finds that algorithms for forecasting adolescent non-suicidal self-injury show moderate ...
A new study tested ChatGPT-3.5, ChatGPT-4, Bing, and Google Gemini on 300 questions from the 2023 and 2024 National Prosthodontic ...
Researchers at the Universidade de Lisboa have developed a graph neural network method that ranks metabolites by their impact on ...
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© 2025 Scienmag - Science Magazine