机构

• 自动化研究所 [5]

采集方式

• OAI收割 [5]

内容类型

• 期刊论文 [5]

发表日期

• 2022 [2]
• 2021 [1]
• 2020 [2]

学科主题

筛选

浏览/检索结果: 共5条，第1-5条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 PLE-Net: Automatic power line extraction method using deep learning from aerial images 期刊论文  OAI收割 EXPERT SYSTEMS WITH APPLICATIONS, 2022, 卷号: 198, 页码: 9 作者:  Yang, Lei;  Fan, Junfeng;  Huo, Benyan;  Li, En;  Liu, Yanhong   |  收藏  |  浏览/下载：63/0  |  提交时间：2022/07/25 Power line extraction  Deep architecture  Image segmentation  Multi-scale attention module   Vision-Based Power Line Segmentation With an Attention Fusion Network 期刊论文  OAI收割 IEEE SENSORS JOURNAL, 2022, 卷号: 22, 期号: 8, 页码: 8196-8205 作者:  Yang, Lei;  Fan, Junfeng;  Xu, Shuai;  Li, En;  Liu, Yanhong   |  收藏  |  浏览/下载：39/0  |  提交时间：2022/07/25 Power transmission lines  Inspection  Feature extraction  Sensors  Image segmentation  Navigation  Vision sensors  Power line extraction  deep network architecture  image segmentation  multi-scale feature fusion  attention module   Efficient Parallel Branch Network With Multi-Scale Feature Fusion for Real-Time Overhead Power Line Segmentation 期刊论文  OAI收割 IEEE SENSORS JOURNAL, 2021, 卷号: 21, 期号: 10, 页码: 12220-12227 作者:  Gao, Zishu;  Yang, Guodong;  Li, En;  Liang, Zize;  Guo, Rui   |  收藏  |  浏览/下载：31/0  |  提交时间：2021/06/07 Convolution  Feature extraction  Image segmentation  Inspection  Wires  Sensors  Real-time systems  Real-time segmentation  lightweight network  dilated depth-wise convolution  power line inspection   A Review on State-of-the-Art Power Line Inspection Techniques 期刊论文  OAI收割 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2020, 卷号: 69, 期号: 12, 页码: 9350-9365 作者:  Yang, Lei;  Fan, Junfeng;  Liu, Yanhong;  Li, En;  Peng, Jinzhu   |  收藏  |  浏览/下载：54/0  |  提交时间：2021/01/06 Inspection  Poles and towers  Task analysis  Insulators  Smart grids  Feature extraction  Inspection methods  inspection platforms  inspection sensors  inspection task  power line inspection   An intelligent learning approach for improving ECG signal classification and arrhythmia analysis 期刊论文  OAI收割 ARTIFICIAL INTELLIGENCE IN MEDICINE, 2020, 卷号: 103, 页码: 14 作者:  Sangaiah, Arun Kumar;  Arumugam, Maheswari;  Bian, Gui-Bin   |  收藏  |  浏览/下载：31/0  |  提交时间：2020/06/02 ECG  Noise suppression  Baseline wander (BW)  Power line interference (PLI)  Electromyography (EMG)  Signal to noise ratio (SNR)  Devoted wavelet  Feature extraction  HMM (Hidden Markov Model)  Cardiac arrhythmia