IEEE

Outward and Inward Communication: A Study on the Driving Mechanism of Social Media Use for Breakthrough Innovation

Abstract: The real-time and extensive interactive interfaces of social media platforms have reshaped the internal and external knowledge synergy modes of enterprises, bringing many opportunities for ...
IEEE

Blockchain and Federated Learning for Privacy-Preserved Data Sharing in Industrial IoT

Abstract: The rapid increase in the volume of data generated from connected devices in industrial Internet of Things paradigm, opens up new possibilities for enhancing the quality of service for the ...
IEEE

Fields2Cover: An Open-Source Coverage Path Planning Library for Unmanned Agricultural Vehicles

Abstract: This letter describes Fields2Cover, a novel open source library for coverage path planning (CPP) for agricultural vehicles. While there are several CPP solutions nowadays, there have been ...
IEEE

Electric Vehicle Charging: A Survey on the Security Issues and Challenges of the Open Charge Point Protocol (OCPP)

Abstract: The increased use of smart Electric Vehicles (EVs) and Plug-in Electric Vehicles (PEV) opened a new area of research and development. The number of EV charging sites has considerably ...
IEEE

Learning a Deep Single Image Contrast Enhancer from Multi-Exposure Images

Abstract: Due to the poor lighting condition and limited dynamic range of digital imaging devices, the recorded images are often under-/over-exposed and with low contrast. Most of previous single ...
IEEE

1547-2018 - IEEE Standard for Interconnection and Interoperability of Distributed Energy Resources with Associated Electric Power Systems Interfaces

The technical specifications for, and testing of, the interconnection and interoperability between utility electric power systems (EPSs) and distributed energy resources ...Show More Scope:This ...
IEEE

On-Load Field Prediction in SPM Machines by a Subdomain and Magnetic Circuit Hybrid Model

Abstract: In this article, a new subdomain and magnetic circuit hybrid model (SMCHM) is proposed for on-load field prediction in the surface-mounted permanent-magnet machines. Equivalent current ...
IEEE

Parameter-Free Deep Multi-Modal Clustering With Reliable Contrastive Learning

Abstract: Deep multi-modal clustering (DMC) expects to improve clustering performance by exploiting abundant information available from multiple modalities. However, different modalities usually have ...
IEEE

Intelligent Vehicle Path Tracking Control Based on Improved MPC and Hybrid PID

Abstract: In this study, to improve the accuracy of path tracking in intelligent vehicles, we propose an intelligent vehicle path-tracking control method based on improved model predictive control ...
IEEE

Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis

Abstract: The past decade has seen an explosion in the amount of digital information stored in electronic health records (EHRs). While primarily designed for archiving patient information and ...
IEEE

Model-Free Load Frequency Control of Nonlinear Power Systems Based on Deep Reinforcement Learning

Abstract: Load frequency control (LFC) is widely employed in power systems to stabilize frequency fluctuation and guarantee power quality. However, most existing LFC methods rely on accurate power ...
IEEE

Dual Phase-Shifted Modulation Strategy for the Three-Level Dual Active Bridge DC–DC Converter

Abstract: In high-voltage dc-dc applications, the switches in the conventional two-level dual active bridge (DAB) dc-dc converter have to bear the whole port voltage, so high voltage switches should ...