Tag: learning-driven

A hybrid CNN–Transformer deep learning model achieved 92.5% accuracy in classifying groundwater quality in Algeria's Bechar region using 621 samples ...

A twenty-year machine learning analysis in Purulia reveals severe groundwater depletion hotspots that persist despite rising rainfall due to intensive ...

A UAV-assisted system using specialized YOLOv8s detectors achieved 85% accuracy for three photovoltaic fault categories in a held-out test set ...

The DAC-CPPO reinforcement learning model reported a 1.91 Sharpe ratio and 0.14 volatility, outperforming comparison models in the study’s portfolio ...