AI Framework Fuses Satellites and Ground Data to Weigh the World’s Grasslands
A new deep learning and ensemble learning framework reaches up to 93.04% accuracy in estimating aboveground biomass across three contrasting ...
A new deep learning and ensemble learning framework reaches up to 93.04% accuracy in estimating aboveground biomass across three contrasting ...
A rough set theory analysis of the METABRIC cohort shows that a compact set of routine clinical variables can moderately ...
A new hybrid machine learning and extreme value analysis framework reveals a 2020 precipitation regime shift, a humidity activation threshold ...
Researchers used machine learning and dense field data to map groundwater levels and carbon dioxide emissions at high resolution across ...
A systematic review of 237 studies from 2014 to 2024 maps how explainable AI techniques such as SHAP and LIME ...
Researchers have combined verified finite element simulations with machine learning to predict fretting dissipated energy and slip regimes in under ...
A comparative study of Taiwan's Mingde and Shihmen reservoirs shows machine learning models forecast monthly storage with high skill but ...
A new interpretable machine learning study shows that warming in Northeast China's frozen soils decreases with depth, with longwave radiation, ...
A new benchmark study shows that an uncertainty-aware AI decision support system significantly improves small-business supply chain resilience, but its ...
Researchers in India have shown that a low-cost electrochemical soil sensor combined with a soil-aware XGBoost calibration model can estimate ...
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© 2025 Scienmag - Science Magazine