Abstract: For nonlinear (control) systems, extended dynamic mode decomposition (EDMD) is a popular method to obtain data-driven surrogate models. Its theoretical foundation is the Koopman framework, ...
Abstract: This study presents a novel high density surface electromyography (EMG) decomposition method, named as 2CFastICA, because it incorporates two key algorithms: kernel constrained FastICA and ...
The paper benchmarks tree-based models (Random Forest, LightGBM, XGBoost) against deep learning (LSTM, CNN-LSTM, GRU, TFT) for hourly building electricity load forecasting, and demonstrates that ...
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