IEEE

Enhancing Resilience of Networked Microgrids Using V2G: A Distributed Model Predictive Control Approach With Non-Intrusive Battery Surrogate Model

Abstract: Enhancing the resilience of networked microgrids (NMGs) through model predictive control-based vehicle-to-grid (V2G) strategies faces a key challenge due to the lack of real-time perception ...
Journal of Medical Internet Research

Development of a 5-Year Risk Prediction Model for Transition From Prediabetes to Diabetes Using Machine Learning: Retrospective Cohort Study

Using 14 features selected using the recursive feature elimination-logistic algorithm, the CatBoost model achieved optimal performance in the test set and the external test set with an area under the ...
Journal of Medical Internet Research

Laypeople’s Use of and Attitudes Toward Large Language Models and Search Engines for Health Queries: Survey Study

Search engines transformed health information access, and LLMs offer a new avenue for answering laypeople’s questions. Objective: We aimed to compare the frequency of use and attitudes toward LLMs and ...
GitHub

Nonlinear Model-Predictive Control Using Koopman Operator

This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...
IEEE

3D Model Feature Optimization Technology Based on Area Weighting and Laplace Operator

Abstract: In the field of 3D model rendering, optimization issues are currently the main direction of research. Since new problems inevitably arise during the model simplification process, leading to ...