Abstract: While industrial ceiling fans play a vital role in maintaining efficient airflow and system stability within factory settings, surface defects on their blades that arise over time can ...
Abstract: Machine learning has become an increasingly utilized approach for developing Network Intrusion Detection Systems (NIDS) for identifying anomalies associated with malicious network intrusions ...
Abstract: This letter proposes a sparse identification of nonlinear dynamics—physics informed neural network—particle swarm optimization algorithm for optimizing the air-gap design of transformers ...
Abstract: This study proposes a low-level radio frequency (LLRF) feedback control algorithm based on reinforcement learning (RL) using the soft actor–critic (SAC) and proximal policy optimization (PPO ...
The rapid adoption of electric vehicles (EVs) has introduced significant challenges in planning and optimizing charging infrastructure, especially along extensive road networks. This paper presents a ...
Abstract: To address high dynamics, strong uncertainty, and decision-dimensional explosion in air combat, this paper constructs a PPO-based hierarchical tactical decision-making algorithm (PHT-PPO) ...
Abstract: With the increasing demand of high-precision data acquisition card in application, noise suppression in the process of signal acquisition becomes very important. The existence of noise will ...
Abstract: In combinatorial optimization problems, traditional optimization algorithms are often difficult to efficiently find the global optimal solution. This paper studies the application of genetic ...
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