Methods: We developed and validated the Explainable Automated nonlinear Computation scoring system for Health (EACH) framework score. We developed a CatBoost-based prediction model, identified key ...
A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive ...
Researchers developed a nonlinear viscoelastic-plastic model to accurately forecast mining-induced subsidence, ensuring safer infrastructure construction.
Abstract: The prediction-based nonlinear reference governor (PRG) is an add-on algorithm to enforce constraints on prestabilized nonlinear systems by modifying, whenever necessary, the reference ...
Tree height-diameter (H-D) relationships are important for routine forest assessment. Several H-D relationships have been developed for different species and more are still evolving. This study ...
Abstract: This article proposes a deep Koopman-based identification method for nonlinear dynamical systems with modeling residuals learned recursively by incremental Gaussian process regression (IGPR) ...
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