IEEE

Deep Transfer Learning for Bearing Fault Diagnosis: A Systematic Review Since 2016

Abstract: The traditional deep learning-based bearing fault diagnosis approaches assume that the training and test data follow the same distribution. This assumption, however, is not always true for ...
IEEE

An Improved Exponential Model for Predicting Remaining Useful Life of Rolling Element Bearings

Abstract: The remaining useful life (RUL) prediction of rolling element bearings has attracted substantial attention recently due to its importance for the bearing health management. The exponential ...
IEEE

The Impact of Charging Plug-In Hybrid Electric Vehicles on a Residential Distribution Grid

Abstract: Alternative vehicles, such as plug-in hybrid electric vehicles, are becoming more popular. The batteries of these plug-in hybrid electric vehicles are to be charged at home from a standard ...
IEEE

Water Quality Prediction for Smart Aquaculture Using Hybrid Deep Learning Models

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 ...
IEEE

Battery Degradation in Electric and Hybrid Electric Vehicles: A Survey Study

Abstract: The lithium-ion batteries used in electric vehicles have a shorter lifespan than other vehicle components, and the degradation mechanism inside these batteries reduces their life even more.
IEEE

Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review

Abstract: Recently, the advancement of deep learning (DL) in discriminative feature learning from 3-D LiDAR data has led to rapid development in the field of autonomous driving. However, automated ...
IEEE

Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond

Abstract: As the standardization of 5G solidifies, researchers are speculating what 6G will be. The integration of sensing functionality is emerging as a key feature of the 6G Radio Access Network ...
IEEE

Transmission–Reflection-Integrated Metasurfaces Design for Simultaneous Manipulation of Phase and Amplitude

Abstract: A kind of transmission–reflection-integrated elements and metasurfaces (MSs) are proposed to achieve full-space manipulation of amplitudes, phases, and polarization states of electromagnetic ...
IEEE

Nearest-Better Network for Fitness Landscape Analysis of Continuous Optimization Problems

Abstract: Fitness landscape analysis (FLA) is quite important in evolutionary computation. In this article, we propose a novel FLA method, the nearest-better network (NBN), which uses the ...
IEEE

Lucid: A Practical, Lightweight Deep Learning Solution for DDoS Attack Detection

Abstract: Distributed Denial of Service (DDoS) attacks are one of the most harmful threats in today's Internet, disrupting the availability of essential services. The challenge of DDoS detection is ...
IEEE

On the Generation of Anomaly Detection Datasets in Industrial Control Systems

Abstract: In recent decades, Industrial Control Systems (ICS) have been affected by heterogeneous cyberattacks that have a huge impact on the physical world and the people's safety. Nowadays, the ...
IEEE

A 1.2-V Dynamic Bias Latch-Type Comparator in 65-nm CMOS With 0.4-mV Input Noise

Abstract: A latch-type comparator with a dynamic bias pre-amplifier is implemented in a 65-nm CMOS process. The dynamic bias with a tail capacitor is simple to implement and ensures that the ...