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Conductive Particle Detection for Chip on Glass Using Convolutional Neural Network 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 期号: 1, 页码: 1-10
作者:  Tao X(陶显);  Ma WZ(马文治);  Lu ZF(逯正峰);  Hou ZX(侯占新)
Adobe PDF(3208Kb)  |  收藏  |  浏览/下载:231/56  |  提交时间:2022/03/03
缺陷检测  
Color‐Guided Depth Map Super‐Resolution Using a Dual‐Branch Multi‐Scale Residual Network with Channel Interaction 期刊论文
Sensors, 2020, 卷号: 20, 期号: 6, 页码: 1560
作者:  陈睿进;  高伟
浏览  |  Adobe PDF(2336Kb)  |  收藏  |  浏览/下载:265/67  |  提交时间:2020/04/30
Depth Map  Super‐resolution  Guidance  Residual Network  Channel Interaction  
A cascaded method for text detection in natural scene images 期刊论文
Neurocomputing, 2017, 卷号: 238, 期号: 238, 页码: 307-315
作者:  Yang, Zheng;  Qing, Li;  Jie, Liu;  Heping, Liu;  Gen, Li;  Shuwu, Zhang
浏览  |  Adobe PDF(2826Kb)  |  收藏  |  浏览/下载:238/62  |  提交时间:2019/10/09
Extremal Regions  Recursive Local Search  Text Line Entropy  Convolutional Neural Network  
Automatic extraction and identification of narrow butt joint based on ANFIS before GMAW 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2018, 卷号: 100, 期号: 1-4, 页码: 609-622
作者:  Lei,yang;  En,li;  Junfeng,fan;  Teng,long;  Zize,liang
浏览  |  Adobe PDF(2666Kb)  |  收藏  |  浏览/下载:254/71  |  提交时间:2019/04/24
Narrow Butt Joint, Weak Contrast, Extraction, Identification, Anfis  
Dynamic Identification of Critical Nodes and Regions in Power Grid Based on Spatio-Temporal Attribute Fusion of Voltage Trajectory 期刊论文
ENERGIES, 2019, 卷号: 12, 期号: 5, 页码: 16
作者:  Bai, Xiwei;  Liu, Daowei;  Tan, Jie;  Yang, Hongying;  Zheng, Hengfeng
浏览  |  Adobe PDF(3091Kb)  |  收藏  |  浏览/下载:350/49  |  提交时间:2019/04/23
critical node  critical region  spatio-temporal attribute fusion  node voltage trajectory  
High-quality 3D Reconstruction with Depth Super-resolution and Completion 期刊论文
IEEE Access, 2019, 卷号: 7, 期号: 1, 页码: 19370-19381
作者:  Li JW(李建伟);  Gao W(高伟);  Wu YH(吴毅红)
浏览  |  Adobe PDF(4152Kb)  |  收藏  |  浏览/下载:336/95  |  提交时间:2019/04/22
Deep Learning  Super-resolution  Image Processing  Depth Completion  3d Reconstruction