Physics-guided neural networks outperform data-only models on fractional LCR circuit
A comparative study in Scientific Reports reports that a fractional physics-informed network reached a test RMSE of about 2×10⁻⁴ on ...
A comparative study in Scientific Reports reports that a fractional physics-informed network reached a test RMSE of about 2×10⁻⁴ on ...
A Chicago study combining missing-data reconstruction, LSTM forecasting and RHP-based regularization reported up to 50% better spatial equity with an ...
An ensemble of LSTM and CatBoost predicts one-year-ahead city-level methane emissions, with urban ecological and environmental quality showing the strongest ...
A simulation-based study reports that a federated Edge-AI framework combining smart neck collars and a hybrid GBoost-LSTM model predicted dairy ...
A new physics-informed machine learning framework embeds hysteretic mechanical laws into neural network training, reproducing full seismic load–deformation and energy ...
A 15-year analysis of 20,302 reported echinococcosis cases in Xinjiang found cases peaked in 2017 and fell to a low ...
A new dynamic malware detection method fuses sandbox-captured API call sequences with color images converted from out-of-VM memory dumps, reaching ...
A two-dataset study found that ZAPP reduced the hybrid model’s photovoltaic forecasting sMAPE from 60.57% to 11.07% and from 63.30% ...
A study of junior high school students’ online English-learning logs found that a knowledge-map and LSTM model classified three behavioral ...
A Scientific Reports abstract describes a hybrid decomposition and deep-learning model that reported favorable accuracy and generalization performance for hourly ...
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© 2026 Scienmag - Science Magazine