IEEE

Improved Quantile Convolutional and Recurrent Neural Networks for Electric Vehicle Battery Temperature Prediction

Abstract: The battery thermal management of electric vehicles can be improved using neural networks predicting quantile sequences of the battery temperature. This work extends a method for the ...
IEEE

Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey

Abstract: Deep learning is at the heart of the current rise of artificial intelligence. In the field of computer vision, it has become the workhorse for applications ranging from self-driving cars to ...
IEEE

PMU-Based Fault Location Using Voltage Measurements in Large Transmission Networks

Abstract: This paper presents a general fault-location method for large transmission networks which uses phasor measurement unit (PMU) voltage measurements where the injected current at a fault point ...
IEEE

An Evolutionary Many-Objective Optimization Algorithm Based on Dominance and Decomposition

Abstract: Achieving balance between convergence and diversity is a key issue in evolutionary multiobjective optimization. Most existing methodologies, which have demonstrated their niche on various ...
IEEE

A New Hesitant Fuzzy Linguistic ORESTE Method for Hybrid Multicriteria Decision Making

Abstract: The hesitant fuzzy linguistic term set (HFLTS) is an effective tool to express the experts' subjective evaluations in the processes of decision making. To solve the problem with both ...
IEEE

Adaptive Fuzzy Fault Tolerant Control for Robot Manipulators With Fixed-Time Convergence

Abstract: This article aims to resolve the three major issues of fault tolerant control (FTC) for robot manipulators: 1) the faster response, lower tracking errors, lower chattering, and higher ...
IEEE

Integrated Sensing and Communication-Assisted Orthogonal Time Frequency Space Transmission for Vehicular Networks

Abstract: Orthogonal time frequency space (OTFS) modulation is a promising candidate for supporting reliable information transmission in high-mobility vehicular networks. In this paper, we consider ...
IEEE

Artificial Neural Network and Newton Raphson (ANN-NR) Algorithm Based Selective Harmonic Elimination in Cascaded Multilevel Inverter for PV Applications

Abstract: In this article, a hybrid Artificial Neural Network - Newton Raphson (ANN-NR) is introduced to mitigate the undesired lower-order harmonic content in the cascaded H-Bridge multilevel ...
IEEE

On-Load Field Component Separation in Surface-Mounted Permanent-Magnet Motors Using an Improved Conformal Mapping Method

Abstract: This paper introduces an improved conformal mapping (ICM) method for the separation of the on-load air-gap magnetic field components in surface-mounted permanent-magnet (SPM) motors under ...
IEEE

Dual-Band Circularly Polarized Antenna With Circular Polarization in the Endfire Direction in Metal-Bezel Smartphones for n256-Band Direct Phone-to-Satellite Communication

Abstract: In this article, a dual-band circularly polarized (CP) antenna with circular polarization in the endfire direction in metal-bezel smartphones for n256-band direct phone-to-satellite ...
IEEE

Time–Frequency Analysis of Seismic Data Using a Three Parameters S Transform

Abstract: The S transform (ST) is one of the most commonly used time-frequency (TF) analysis algorithms and is commonly used in assisting reservoir characterization and hydrocarbon detection.
IEEE

Energy Theft Detection Using Gradient Boosting Theft Detector With Feature Engineering-Based Preprocessing

Abstract: For the smart grid energy theft identification, this letter introduces a gradient boosting theft detector (GBTD) based on the three latest gradient boosting classifiers (GBCs): 1) extreme ...