IEEE

Wafer Map Defect Pattern Classification and Image Retrieval Using Convolutional Neural Network

Abstract: Wafer maps provide important information for engineers in identifying root causes of die failures during semiconductor manufacturing processes. We present a method for wafer map defect ...
IEEE

IoT-Enabled Smart Waste Management Systems for Smart Cities: A Systematic Review

Abstract: With urbanization, rising income and consumption, the production of waste increases. One of the most important directions in the field of sustainable development is the design and ...
IEEE

3D Point Cloud Processing and Learning for Autonomous Driving: Impacting Map Creation, Localization, and Perception

Abstract: We present a review of 3D point cloud processing and learning for autonomous driving. As one of the most important sensors in autonomous vehicles (AVs), lidar sensors collect 3D point clouds ...
IEEE

Plant-Wide Industrial Process Monitoring: A Distributed Modeling Framework

Abstract: With the growing complexity of the modern industrial process, monitoring large-scale plant-wide processes has become quite popular. Unlike traditional processes, the measured data in the ...
IEEE

Comparative Review of Energy Storage Systems, Their Roles, and Impacts on Future Power Systems

Abstract: It is an exciting time for power systems as there are many ground-breaking changes happening simultaneously. There is a global consensus in increasing the share of renewable energy-based ...
IEEE

Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks

Abstract: Early detection of the motor faults is essential and artificial neural networks are widely used for this purpose. The typical systems usually encapsulate two distinct blocks: feature ...
IEEE

A Comprehensive Review of State-of-the-Art Parameter Estimation Techniques for Permanent Magnet Synchronous Motors in Wide Speed Range

Abstract: Permanent magnet synchronous motor (PMSM) drive has emerged as one of the most preferred motor drives for industrial applications owing to its distinguished advantages, such as high torque ...
IEEE

Solving Large-Scale Multiobjective Optimization Problems With Sparse Optimal Solutions via Unsupervised Neural Networks

Abstract: Due to the curse of dimensionality of search space, it is extremely difficult for evolutionary algorithms to approximate the optimal solutions of large-scale multiobjective optimization ...
IEEE

Low-Earth Orbital Lifetime Prediction Based on Parameter Sensitivity Analysis and Deep Learning

Abstract: This article proposes an intelligent prediction method for the orbital lifetime of resident space objects (RSOs) in low-Earth orbit. This method is intended to satisfy the computational ...
IEEE

Design and Analysis of Multiscroll Memristive Hopfield Neural Network With Adjustable Memductance and Application to Image Encryption

Abstract: Memristor is an ideal electronic device used as an artificial nerve synapse due to its unique memory function. This article presents a design of a new Hopfield neural network (HNN) that can ...
IEEE

Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diagnosis

Abstract: Recently, deep-learning-based fault diagnosis methods have been widely studied for rolling bearings. However, these neural networks are lack of interpretability for fault diagnosis tasks.
IEEE

Method for Loran-C Additional Secondary Factor Correction Based on Neural Network and Transfer Learning

Abstract: An additional secondary factor (ASF) correction method is proposed to improve the accuracy of Loran-C navigation and positioning based on a combination of backward propagation neural network ...