Abstract: The promising advantages of inductive power transfer are harnessed through modeling techniques. In instances where a system undergoes substantial dynamics, a large-signal model becomes ...
Some cars invite you in with chrome and comfort. The Model T invites you into a time machine, hands you three pedals that mean the wrong things, and politely asks you to learn 1910s. Then it coughs, ...
Prior to PILOT, fitting linear model trees was slow and prone to overfitting, especially with large datasets. Traditional regression trees struggled to capture linear relationships effectively. Linear ...
A diffusion model is a generative model capable of generating samples from a given distribution. It serves as a powerful tool for distribution matching, extensively utilized in image generation, text ...
Smoothed Language Modeling In NLP is a Natural Language Processing (NLP) project that focuses on the development of a language model. This project leverages trigram models, log-linear modeling ...
Abstract: To better handle nonlinearities in the dynamic modeling of wireless power transfer systems, a linear parameter-varying (LPV) Hammerstein model is derived, along with a method to identify the ...
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