AI Meets Expert Judgment to Map Safer Waste Dumps in Indian City
Researchers in West Bengal fused the Analytic Hierarchy Process with Random Forest, Logistic Regression, and Support Vector Machine models to ...
Researchers in West Bengal fused the Analytic Hierarchy Process with Random Forest, Logistic Regression, and Support Vector Machine models to ...
Researchers report that a random forest model combining EEG features with cerebral blood flow oscillations classified consciousness in severely brain-injured ...
A two-decade machine-learning analysis of Landsat imagery shows vegetation cover in Malawi's Chia Lagoon catchment fell by 189 square kilometres ...
Egyptian researchers used CT measurements of the maxillary sinuses and nasal cavity with machine learning to predict sex from human ...
Irish researchers combined multi-sensor drone surveys, ground measurements and random forest modelling to classify grassland peat soils as shallow- or ...
Researchers trained a machine learning model on wearable inertial sensor data to measure, with 89 percent accuracy, how much of ...
A two-year Indian field study shows a random forest model can predict rice grain yield with over 96 percent accuracy ...
Researchers combined terrain, climate, and location data with a random forest algorithm on Google Earth Engine to map the Caatinga ...
Researchers in China combined untargeted metabolomics and machine learning to trace fresh tea leaves from Enshi Prefecture back to their ...
Researchers used explainable machine learning to optimize graphene oxide-biochar hybrid nanocomposites that remove lead, chromium, and uranium from contaminated soil ...
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© 2025 Scienmag - Science Magazine