Tag: Machine learning

An AI framework combining supervised learning, autoencoder anomaly detection and a multi-agent system detected known and unseen faults in a ...

A new review argues that oral biofilm disease is driven by spatial architecture, matrix chemistry and metabolism rather than microbial ...

Researchers classified 1440 company webpages into five business-relevant categories and found that a few-shot large language model outperformed conventional machine ...

A new Applied Intelligence study proposes UOMC, a multi-view classification model that quantifies view-specific uncertainty and reports accuracy gains on ...

Babassu-derived activated carbon removed amoxicillin from water within about ten minutes under ultrasonic irradiation, and tree-based machine learning models predicted ...

A machine learning framework integrating drug structures, E. coli gene responses and metabolic context predicted 37 synergistic antibiotic combinations, with ...

A new framework discretizes time-series data and splits it between global rule-based and Transformer-based local detectors, reporting higher F1 scores ...

A physics-aware deep learning framework reconstructs a gapless, hourly tropospheric NO2 record over four Asian pollution hotspots from 2019 to ...

A global CMIP6 modelling study projects that compound renewable energy droughts, with simultaneous low wind and solar generation, intensify progressively ...

A new commentary argues that AI-accelerated nanotechnology demands integrated safety, privacy, and regulatory governance before risks outpace oversight.