Search Results - "IEEE transactions on instrumentation and measurement"

DS-TransUNet: Dual Swin Transformer U-Net for Medical Image Segmentation by Lin, Ailiang, Chen, Bingzhi, Xu, Jiayu, Zhang, Zheng, Lu, Guangming, Zhang, David

“…Automatic medical image segmentation has made great progress owing to powerful deep representation learning. Inspired by the success of self-attention…”
Get full text

An End-to-End Steel Surface Defect Detection Approach via Fusing Multiple Hierarchical Features by He, Yu, Song, Kechen, Meng, Qinggang, Yan, Yunhui

“…A complete defect detection task aims to achieve the specific class and precise location of each defect in an image, which makes it still challenging for…”
Get full text

GANMcC: A Generative Adversarial Network With Multiclassification Constraints for Infrared and Visible Image Fusion by Ma, Jiayi, Zhang, Hao, Shao, Zhenfeng, Liang, Pengwei, Xu, Han

“…Visible images contain rich texture information, whereas infrared images have significant contrast. It is advantageous to combine these two kinds of…”
Get full text

A Small-Sized Object Detection Oriented Multi-Scale Feature Fusion Approach With Application to Defect Detection by Zeng, Nianyin, Wu, Peishu, Wang, Zidong, Li, Han, Liu, Weibo, Liu, Xiaohui

“…Object detection is a well-known task in the field of computer vision, especially the small target detection problem that has aroused great academic attention…”
Get full text

NestFuse: An Infrared and Visible Image Fusion Architecture Based on Nest Connection and Spatial/Channel Attention Models by Li, Hui, Wu, Xiao-Jun, Durrani, Tariq

“…In this article, we propose a novel method for infrared and visible image fusion where we develop nest connection-based network and spatial/channel attention…”
Get full text

STDFusionNet: An Infrared and Visible Image Fusion Network Based on Salient Target Detection by Ma, Jiayi, Tang, Linfeng, Xu, Meilong, Zhang, Hao, Xiao, Guobao

“…In this article, we propose an infrared and visible image fusion network based on the salient target detection, termed STDFusionNet, which can preserve the…”
Get full text

Automated Visual Defect Detection for Flat Steel Surface: A Survey by Luo, Qiwu, Fang, Xiaoxin, Liu, Li, Yang, Chunhua, Sun, Yichuang

“…Automated computer-vision-based defect detection has received much attention with the increasing surface quality assurance demands for the industrial…”
Get full text

Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study by Zhao, Zhibin, Zhang, Qiyang, Yu, Xiaolei, Sun, Chuang, Wang, Shibin, Yan, Ruqiang, Chen, Xuefeng

“…Recent progress on intelligent fault diagnosis (IFD) has greatly depended on deep representation learning and plenty of labeled data. However, machines often…”
Get full text

YOLOv4-5D: An Effective and Efficient Object Detector for Autonomous Driving by Cai, Yingfeng, Luan, Tianyu, Gao, Hongbo, Wang, Hai, Chen, Long, Li, Yicheng, Sotelo, Miguel Angel, Li, Zhixiong

“…The use of object detection algorithms has become extremely important in autonomous vehicles. Object detection at high accuracy and a fast inference speed is…”
Get full text

Medical Image Fusion With Parameter-Adaptive Pulse Coupled Neural Network in Nonsubsampled Shearlet Transform Domain by Yin, Ming, Liu, Xiaoning, Liu, Yu, Chen, Xun

“…As an effective way to integrate the information contained in multiple medical images with different modalities, medical image fusion has emerged as a powerful…”
Get full text

Multisensor Feature Fusion for Bearing Fault Diagnosis Using Sparse Autoencoder and Deep Belief Network by Chen, Zhuyun, Li, Weihua

“…To assess health conditions of rotating machinery efficiently, multiple accelerometers are mounted on different locations to acquire a variety of possible…”
Get full text

A Novel Fast Single Image Dehazing Algorithm Based on Artificial Multiexposure Image Fusion by Zhu, Zhiqin, Wei, Hongyan, Hu, Gang, Li, Yuanyuan, Qi, Guanqiu, Mazur, Neal

“…Poor weather conditions, such as fog, haze, and mist, cause visibility degradation in captured images. Existing imaging devices lack the ability to effectively…”
Get full text

Online Fault Diagnosis Method Based on Transfer Convolutional Neural Networks by Xu, Gaowei, Liu, Min, Jiang, Zhuofu, Shen, Weiming, Huang, Chenxi

“…Fault detection and diagnosis (FDD) is crucial for stable, reliable, and safe operation of industrial equipment. In recent years, deep learning models have…”
Get full text

Domain Adversarial Transfer Network for Cross-Domain Fault Diagnosis of Rotary Machinery by Chen, Zhuyun, He, Guolin, Li, Jipu, Liao, Yixiao, Gryllias, Konstantinos, Li, Weihua

“…Recently, deep learning-based intelligent fault diagnosis techniques have obtained good classification performance with amount of supervised training data…”
Get full text

Automatic Defect Detection of Fasteners on the Catenary Support Device Using Deep Convolutional Neural Network by Chen, Junwen, Liu, Zhigang, Wang, Hongrui, Nunez, Alfredo, Han, Zhiwei

“…The excitation and vibration triggered by the long-term operation of railway vehicles inevitably result in defective states of catenary support devices. With…”
Get full text

A Motor Current Signal-Based Bearing Fault Diagnosis Using Deep Learning and Information Fusion by Hoang, Duy Tang, Kang, Hee Jun

“…Bearing fault diagnosis has extensively exploited vibration signals (VSs) because of their rich information about bearing health conditions. However, this…”
Get full text

Predicting Remaining Useful Life of Rolling Bearings Based on Deep Feature Representation and Transfer Learning by Mao, Wentao, He, Jianliang, Zuo, Ming J.

“…For the data-driven remaining useful life (RUL) prediction for rolling bearings, the traditional machine learning-based methods generally provide insufficient…”
Get full text

RetinaNet With Difference Channel Attention and Adaptively Spatial Feature Fusion for Steel Surface Defect Detection by Cheng, Xun, Yu, Jianbo

“…Surface defect detection of products is an important process to guarantee the quality of industrial production. A defect detection task aims to identify the…”
Get full text

Compound Fault Diagnosis Using Optimized MCKD and Sparse Representation for Rolling Bearings by Deng, Wu, Li, Zhongxian, Li, Xinyan, Chen, Huayue, Zhao, Huimin

“…The effective separation of fault characteristic components is the core of compound fault diagnosis of rolling bearings. The intelligent optimization algorithm…”
Get full text

A Multitier Deep Learning Model for Arrhythmia Detection by Hammad, Mohamed, Iliyasu, Abdullah M., Subasi, Abdulhamit, Ho, Edmond S. L., El-Latif, Ahmed A. Abd

“…An electrocardiograph (ECG) is employed as a primary tool for diagnosing cardiovascular diseases (CVDs). ECG signals provide a framework to probe the…”
Get full text