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SINDy vs Hard Nonlinearities and Hidden Dynamics: a Benchmarking Study
In this work we analyze the effectiveness of the Sparse Identification of Nonlinear Dynamics (SINDy) technique on three benchmark datasets for nonlinear identification, to provide a better understanding of its suitability when tackling real dynamical systems.
Explainable data-driven modeling via mixture of experts: towards effective blending of grey and black-box models
Efforts to combine these models often often stumble upon difficulties in finding a balance between accuracy and complexity.
Analysis and development of a novel algorithm for the in-vehicle hand-usage of a smartphone
Smartphone usage while driving is unanimously considered to be a really dangerous habit due to strong correlation with road accidents.
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