This research aims to develop an intelligent framework that integrates wage design, productivity performance, and ...
Abstract: This study focuses on the model reference adaptive tracking control problem for uncertain switched systems using a dynamic event-triggered approach. Compared with the existing studies, the ...
Objective: We aimed to develop, validate, and assess NeuroBot, an AI-driven system that uses large language models (LLMs) with retrieval-augmented generation to deliver timely, accurate, and ...
Abstract: This article proposes a dynamic neural network (DNN)-based control method to realize the optimal control of nonlinear parameter-varying (NPV) systems. Specifically, a DNN-based control ...
Background Suicide rates have increased over the last couple of decades globally, particularly in the United States and among populations with lower economic status who present at safety-net ...