Smart Feature Selection Slashes Data Needs for Evapotranspiration Prediction
A hybrid machine learning framework combining seven feature selection methods with XGBoost achieves near-perfect daily reference evapotranspiration estimates from just ...
Tag: Machine learning
Cobalt catalysts turn nitrate pollution into ammonia, review finds
A new review in Environmental Surfaces and Interfaces surveys how abundant, inexpensive cobalt-based electrocatalysts can convert nitrate pollution into ammonia ...
Restored Oyster Reefs Could Deliver $12 Trillion in Ecosystem Services Annually
A new global study estimates that fully restored oyster reefs in ten hotspot nations could deliver ecosystem services worth twelve ...
Southeast Asia Lost Nearly 60% of Its Intact Forests in Two Decades, Satellites Reveal
A satellite and machine learning study finds Southeast Asia lost about 59 percent of its intact forests between 2000 and ...
AI Reads MRI Scans to Predict Hidden Gastric Cancer Spread Before Surgery
Researchers in Guangzhou built a machine-learning model that combines MRI radiomics and clinical variables to predict lymphovascular invasion in gastric ...
Hybrid Forecasting Model Sharpens Predictions of Seasonal Influenza Waves in China
A six-year hospital surveillance study in Jiande, China, shows that a hybrid SARIMA-LSTM model improves forecasts of laboratory-confirmed influenza A ...
Machine Learning Leads Soil Mapping Race, but No Single Model Wins Everywhere
A first-of-its-kind systematic review of 190 studies finds that HASM, Euclidean-enhanced machine learning, and Bayesian Maximum Entropy each excel under ...
Dollar Stores Become America’s Fastest-Growing Food Retailers, Prompting Major Study
A $1 million USDA-funded study led by the University of Rhode Island will examine how the rapid rise of dollar ...
AI Model Pinpoints the Strongest Early Warning Signs of Teen Depression in Chinese Schools
A machine learning study of junior high students in Shanghai finds that negative low-arousal academic emotions are the strongest predictor ...
Machine Learning and Hyperspectral Imaging Reveal Lead in Rice Leaves from Space
Researchers have identified the most reliable machine learning pipeline for estimating toxic lead levels in rice leaves from hyperspectral satellite ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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