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

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

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

Polycrystalline CdSeTe/CdTe Absorber Cells With 28 mA/cm

Abstract: An 800 nm CdSeTe layer was added to the CdTe absorber used in high-efficiency CdTe cells to increase the current and produce an increase in efficiency. The CdSeTe layer employed had a ...
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

Neyman–Pearson Criterion-Based Change Detection Methods for Wavelength–Resolution SAR Image Stacks

Abstract: This letter presents two new change detection (CD) methods for synthetic aperture radar (SAR) image stacks based on the Neyman–Pearson criterion. The first proposed method uses the data from ...
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

An Improved PRBS-Injection-Based Grid Impedance Measurement Method Considering Nonideal Grid Conditions

Abstract: The wide-bandwidth grid impedance measurement is a vital way in the resonance and stability analysis of the grid-tied system. However, the grid inevitably suffers from some nonideal ...