Machine Learning Map of Brazil’s Caatinga Reaches New Accuracy by Reading Terrain and Climate
Researchers combined terrain, climate, and location data with a random forest algorithm on Google Earth Engine to map the Caatinga ...
Researchers combined terrain, climate, and location data with a random forest algorithm on Google Earth Engine to map the Caatinga ...
A systematic review of 149 studies maps how large language models are being adapted into personalized, adaptive health and wellness ...
A multi-modal study integrating global burden data, Mendelian randomization, and machine learning finds genetic and clinical evidence that regional fat ...
Researchers have developed a divide-and-conquer fake news detection framework combining linguistic features and word embeddings that achieves F1-scores above 98 ...
A comprehensive review of 69 studies shows that machine learning and deep learning models can diagnose depression from EEG and ...
Researchers in China combined untargeted metabolomics and machine learning to trace fresh tea leaves from Enshi Prefecture back to their ...
Researchers have developed a smart ring and machine learning system that automatically attributes AAC device speech to the correct user ...
University of Virginia computer scientist Chen Chen has received a five-year, $600,000 NSF CAREER Award to develop trustworthy AI systems ...
Researchers in Qingdao developed an interpretable XGBoost model that distinguishes gastric cancer from intestinal metaplasia in patients with psychological symptoms ...
A machine-learning web application trained on hundreds of finite element simulations delivers near-instant rock-slope stability forecasts for seismically active mountain ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine