AI Models Predict Arsenic in Bihar Groundwater With Bio-Inspired Precision
Researchers at NIT Patna have developed hybrid XGBoost models tuned by bio-inspired optimization algorithms that predict groundwater arsenic contamination in ...
Researchers at NIT Patna have developed hybrid XGBoost models tuned by bio-inspired optimization algorithms that predict groundwater arsenic contamination in ...
A new Nature Water study shows that freeze–thaw cycles at ice–water interfaces rapidly convert freshly deposited industrial arsenic in soils ...
A replicated EDXRF and 16S rRNA survey across Punjab finds that arsenic from flood irrigation makes agricultural soils more ecologically ...
A new study finds that random forest models outperform neural networks in predicting arsenic contamination across Ghana's Pra, Ankobra, and ...
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© 2025 Scienmag - Science Magazine