Explainable AI Pinpoints Urban Crime Hotspots and Forecasts Daily Trends Across Three Major US Cities
A unified explainable AI framework applied to Chicago, Los Angeles, and New York City shows XGBoost best detects crime hotspots ...
A unified explainable AI framework applied to Chicago, Los Angeles, and New York City shows XGBoost best detects crime hotspots ...
A comparative study of three deep learning models in an Australian alpine catchment shows that LSTM networks can forecast hourly ...
New experiments show that low-quality activity labels devastate process discovery and next-activity prediction while leaving conformance checking and time predictions ...
Researchers in China have built a drone trajectory generation system that combines YOLOv8 detection, LSTM motion prediction, and Q-learning-optimized nonlinear ...
A hybrid systematic review and experimental benchmark of five deep learning architectures reveals which neural networks can realistically detect and ...
Egyptian researchers have built a MATLAB simulation framework combining LSTM-based water demand prediction with solar energy management, achieving simulated water ...
Indonesian researchers used a decade of Himawari-8 satellite data, machine learning, and a modified Monte Carlo method to project fine ...
A new study shows that an observation-trained LSTM neural network can produce stable and physically plausible runoff projections for Switzerland ...
A hybrid deep learning framework combining two complementary LSTM models with Bayesian ensemble stacking predicts winter road surface temperature more ...
A new study in PLOS Climate shows that simple deep learning models, especially the LSTM architecture, outperform the physics-based WRF ...
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© 2026 Scienmag - Science Magazine