Two-Stage AI Model Learns From Its Own Mistakes to Predict Electricity Demand
Researchers have built a two-stage deep learning system in which a transformer makes an initial electricity demand forecast and an ...
Researchers have built a two-stage deep learning system in which a transformer makes an initial electricity demand forecast and an ...
Researchers in Kazakhstan have developed a two-stage deep learning method that forecasts the solar spectrum itself and uses it to ...
Researchers in India built a transformer-based deep learning system to detect anomalies in solar-wind power plants, achieving strong reconstruction accuracy ...
A systematic review and controlled validation of deep learning-based Android malware detection reveals that high benchmark accuracy masks architecture-dependent reliability ...
Chronic stress has become one of the defining health burdens of the modern era, quietly fueling hypertension, depression, burnout, and ...
A unified explainable AI framework applied to Chicago, Los Angeles, and New York City shows XGBoost best detects crime hotspots ...
Researchers in China have built a physics-guided deep learning model that improves groundwater-level prediction in heavily pumped agricultural aquifers by ...
A new study in PLOS Climate shows that simple deep learning models, especially the LSTM architecture, outperform the physics-based WRF ...
Researchers in Saudi Arabia have developed a GNN-GRU-MLP deep learning framework that fuses multi-sensor marine time-series data to classify coastal ...
Researchers in India have built an explainable deep learning framework that forecasts cloud host load in real time with about ...
Success! An email was just sent to confirm your subscription. Please find the email now and click 'Confirm Follow' to start subscribing.
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine