IEEE

A Detailed Investigation and Analysis of Using Machine Learning Techniques for Intrusion Detection

Abstract: Intrusion detection is one of the important security problems in todays cyber world. A significant number of techniques have been developed which are based on machine learning approaches.
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

Direct Adaptive Neural Control for a Class of Uncertain Nonaffine Nonlinear Systems Based on Disturbance Observer

Abstract: In this paper, the direct adaptive neural control is proposed for a class of uncertain nonaffine nonlinear systems with unknown nonsymmetric input saturation. Based on the implicit function ...
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

Observer-Based Adaptive Fuzzy Fault-Tolerant Optimal Control for SISO Nonlinear Systems

Abstract: This paper investigates adaptive fuzzy output feedback fault-tolerant optimal control problem for a class of single-input and single-output nonlinear systems in strict feedback form. The ...
IEEE

Neural Network Control-Based Adaptive Learning Design for Nonlinear Systems With Full-State Constraints

Abstract: In order to stabilize a class of uncertain nonlinear strict-feedback systems with full-state constraints, an adaptive neural network control method is investigated in this paper. The state ...
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 ...
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

802.3df-2024 - IEEE Standard for Ethernet Amendment 9: Media Access Control Parameters for 800 Gb/s and Physical Layers and Management Parameters for 400 Gb/s and 800 Gb/s ...

Abstract: This amendment includes changes to IEEE Std 802.3-2022 and adds Clause 169 through Clause 173, Annex 172A, and Annex 173A. This amendment adds MAC parameters, Physical Layers, and management ...
IEEE

Implementation of Hybrid Filter for 12-Pulse Thyristor Rectifier Supplying High-Current Variable-Voltage DC Load

Abstract: This paper presents a parallel combination of a shunt-connected passive filter and a distribution static compensator (DSTATCOM) for a 12-pulse thyristor rectifier feeding a high-current ...
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

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 ...