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Image Segmentation of Cabin Assembly Scene Based on Improved RGB-D Mask R-CNN 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71, 页码: 12
作者:  Fu, Yichen;  Fan, Junfeng;  Xing, Shiyu;  Wang, Zhe;  Jing, Fengshui;  Tan, Min
收藏  |  浏览/下载：208/0  |  提交时间：2022/06/06
Image segmentation  Robustness  Production  Position measurement  Feature extraction  Deep learning  Adaptation models  Cabin docking  cabin pose measurement  deep neural network (DNN)  red-green-blue-depth (RGB-D) image segmentation  RGB-D sensor  
Kinematics, dynamics, and load distribution analysis of a 4-PPPS redundantly actuated parallel manipulator 期刊论文
MECHANISM AND MACHINE THEORY, 2022, 卷号: 167, 页码: 22
作者:  Liu, Zhaoyang;  Tao, Rui;  Fan, Junfeng;  Wang, Zhe;  Jing, Fengshui;  Tan, Min
Adobe PDF(2483Kb)  |  收藏  |  浏览/下载：251/7  |  提交时间：2021/11/04
Redundant parallel manipulator  Kinematics  Dynamics  Screw theory  Load distribution  
Instance segmentation of apple flowers using the improved mask R-CNN model 期刊论文
BIOSYSTEMS ENGINEERING, 2020, 卷号: 193, 页码: 264-278
作者:  Tian, Yunong;  Yang, Guodong;  Wang, Zhe;  Li, En;  Liang, Zize
Adobe PDF(4718Kb)  |  收藏  |  浏览/下载：397/108  |  提交时间：2020/06/02
Apple flower images acquisition  Image augmentation  Deep learning  MASU R-CNN  Instance segmentation  
RNA-silencing nanoprobes for effective activation and dynamic imaging of neural stem cell differentiation 期刊论文
THERANOSTICS, 2019, 卷号: 9, 期号: 18, 页码: 5386-5395
作者:  Zhang, Ruili;  Wang, Zhe;  Yang, Zuo;  Wang, Linlin;  Wang, Zhongdi;  Chen, Baihang;  Wang, Zhongliang;  Tian, Jie
收藏  |  浏览/下载：248/0  |  提交时间：2019/12/16
gold nanoparticle  gene silencing  imaging  drug delivery  neural stem cell  
Apple detection during different growth stages in orchards using the improved YOLO-V3 model 期刊论文
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2019, 卷号: 157, 页码: 417-426
作者:  Tian, Yunong;  Yang, Guodong;  Wang, Zhe;  Wang, Hao;  Li, En;  Liang, Zize
Adobe PDF(1152Kb)  |  收藏  |  浏览/下载：353/104  |  提交时间：2019/07/12
Apple images acquisition  Image augmentation  Deep learning  YOLOV3-dense  Real-time detection