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基于改进Faster R-CNN的子弹外观缺陷检测技术研究 学位论文
硕士, 沈阳: 中国科学院沈阳自动化研究所, 2019
Authors:  马晓云
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目标检测  Faster R-CNN  子弹外观缺陷  K-means++  卷积神经网络  
基于改进Faster R-CNN的子弹外观缺陷检测 期刊论文
激光与光电子学进展, 2019, 卷号: 56, 期号: 15, 页码: 1-8
Authors:  马晓云;  朱丹;  金晨;  佟新鑫
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目标检测  Faster R-CNN  子弹外观缺陷  K-means++  卷积神经网络  
改进的YOLO V3算法及其在小目标检测中的应用 期刊论文
光学学报, 2019, 卷号: 39, 期号: 7, 页码: 1-8
Authors:  鞠默然;  罗海波;  王仲博;  何淼;  常铮;  惠斌
View  |  Adobe PDF(2348Kb)  |  Favorite  |  View/Download:584/85  |  Submit date:2019/04/13
机器视觉  小目标检测  YOLO V3  VEDAI数据集  K-means  
玉米籽粒破碎率在线检测装置及方法研究 学位论文
硕士, 沈阳: 中国科学院沈阳自动化研究所, 2018
Authors:  杨亮
Adobe PDF(3833Kb)  |  Favorite  |  View/Download:484/18  |  Submit date:2018/06/16
玉米籽粒破碎率在线检测  K-Means均值聚类  玉米籽粒形态特征  智能检测系统  田间实验  
Cooperative differential evolution with dynamical population for short-term traffic flow prediction problem 期刊论文
International Journal of Performability Engineering, 2018, 卷号: 14, 期号: 4, 页码: 785-794
Authors:  Wang DP(王丹萍);  Hu KY(胡琨元);  He MW(何茂伟);  Chen HN(陈瀚宁)
View  |  Adobe PDF(788Kb)  |  Favorite  |  View/Download:90/12  |  Submit date:2018/06/17
Differential Evolution  K-means Method  Dynamic Population Size Method  Short-term Traffic Flow Prediction  
Path planning for multipoint seabed survey mission using autonomous underwater vehicle 会议论文
OCEANS 2017 MTS/IEEE Anchorage, Anchorage, USA, September 18-21, 2017
Authors:  An Y(安阳);  Xu GF(徐高飞);  Xu CH(徐春晖);  Zhao HY(赵宏宇);  Liu J(刘健)
View  |  Adobe PDF(360Kb)  |  Favorite  |  View/Download:136/14  |  Submit date:2018/07/01
Autonomous Underwater Vehicles  Path Planning  Multipoint Seabed Survey  K-means Clustering  Ant Colony Algorithm  
Determining the Clustering Centers by Slope Difference Distribution 期刊论文
IEEE Access, 2017, 卷号: 5, 页码: 10995-11002
Authors:  Wang ZZ(王振洲)
View  |  Adobe PDF(7955Kb)  |  Favorite  |  View/Download:111/12  |  Submit date:2017/07/17
Clustering  K-means  Expectation Maximization  Fuzzy C-means  Slope Difference Distribution  
最优聚类个数和初始聚类中心点选取算法研究 期刊论文
计算机应用研究, 2017, 卷号: 34, 期号: 6, 页码: 1617-1620
Authors:  张素洁;  赵怀慈
View  |  Adobe PDF(546Kb)  |  Favorite  |  View/Download:328/13  |  Submit date:2016/11/21
K-means 算法  聚类中心  准确率  误差平方和  
Clustering-Based Self-learning Approach for Security Rules in Industrial Communication Protocol 会议论文
Advances in Intelligent Systems and Computing, Kunming, China, May 20-21, 2017
Authors:  Wan M(万明);  Shang WL(尚文利);  Zeng P(曾鹏)
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Modbus/tcp  Self-learning  K-means Algorithm  White-listingrule  
Detection of Maize Kernels Breakage Rate Based on K-means Clustering 会议论文
2017 5TH INTERNATIONAL CONFERENCE ON COMPUTER-AIDED DESIGN, MANUFACTURING, MODELING AND SIMULATION (CDMMS 2017), Busan, SOUTH KOREA, April 22-23, 2017
Authors:  Yang L(杨亮);  Wang Z(王卓);  Gao L(高雷);  Bai XP(白晓平)
View  |  Adobe PDF(1024Kb)  |  Favorite  |  View/Download:198/17  |  Submit date:2017/08/20
Computer Vision  K-means Clustering  Detection Of The Maize Kernels Breakage  Energy Function Of Gradient  Image Clarity Evaluation