Abstract: Reinforcement learning (RL) is a promising data-driven approach for adaptive traffic signal control (ATSC) in complex urban traffic networks, and deep neural networks further enhance its ...
Abstract: A position sensorless control strategy of an interior permanent magnet synchronous motor (IPMSM) drive based on a digital signal processor (DSP) is proposed. To achieve sensorless wide-speed ...
Abstract: A digital twin-based optimization procedure is presented for an ultraprecision motion system with a flexible shaft connecting the motor to the (elastic) load, which is subject to both ...
Abstract: This article aims to develop a robust model predictive control (MPC) scheme for the trajectory tracking control of autonomous underwater vehicles (AUVs ...
Abstract: The electric field and ion current environment under HVdc transmission lines is an important design consideration. The flux tracing method (FTM) for calculating the ground-level electric ...
Abstract: Water quality prediction (WQP) plays an essential role in water quality management for aquaculture to make aquaculture production profitable and sustainable. In this work, we propose hybrid ...
Abstract: Network intrusion detection systems (NIDSs) play a crucial role in defending computer networks. However, there are concerns regarding the feasibility and sustainability of current approaches ...
Abstract: Presents our entry to the Detection and Classification of Acoustic Scenes challenge. The approach we propose for classifying acoustic scenes is based on transforming the audio signal into a ...
Abstract: Although prior article has documented that information technology (IT) capability enables supply chain innovation, thereby enhancing supply chain performance, research on how a firm can ...
Abstract: Resilience to high impact low probability events is becoming of growing concern, for instance to address the impacts of extreme weather on critical infrastructures worldwide. However, there ...
Fault Detection and Location Method for Mesh-Type DC Microgrid Using Pearson Correlation Coefficient
Abstract: Fault detection and location method are two significant techniques to recognize and clear the fault timely. This paper proposes a novel fault detection and location method for mesh-type DC ...
Abstract: Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.
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