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Instance segmentation of apple flowers using the improved mask R-CNN model 期刊论文
biosystems engineering, 2020, 期号: 193, 页码: 264-278
作者:  Tian YN(田雨农)
Adobe PDF(4718Kb)  |  收藏  |  浏览/下载：149/37  |  提交时间：2022/01/06
Apple flower images acquisition  Apple flower images acquisition  Deep learning  MASU R-CNN  Instance segmentation  
Untethered quadrupedal hopping and bounding on a trampoline 期刊论文
Frontiers of mechanical engineering, 2019, 卷号: 15, 期号: 2, 页码: 181-192
作者:  Wang, Boxing;  Zhou, Chunlin;  Duan, Ziheng;  Zhu, Qichao;  Wu, Jun;  Xiong, Rong
Adobe PDF(1620Kb)  |  收藏  |  浏览/下载：175/51  |  提交时间：2022/04/07
hopping and bounding gait  compliant mechanism  compliant contact  balance control strategy  legged locomotion control  quadruped robot  
Detection of Apple Lesions in Orchards Based on Deep Learning Methods of CycleGAN and YOLOV3-Dense 期刊论文
Journal of Sensors, 2019, 期号: 2019, 页码: 1-13
作者:  Tian YN(田雨农)
Adobe PDF(26755Kb)  |  收藏  |  浏览/下载：137/34  |  提交时间：2022/01/06
optical sensors  deep learning  lesion detection  CycleGAN  DenseNet  YOLO-V3 model  
Lithium-Ion Cell Screening With Convolutional Neural Networks Based on Two-Step Time-Series Clustering and Hybrid Resampling for Imbalanced Data 期刊论文
IEEE ACCESS, 2018, 期号: 6, 页码: 59001 - 59014
作者:  Chengbao,Liu;  Jie, Tan;  Heyuan,Shi;  Xuelei,Wang
Adobe PDF(19745Kb)  |  收藏  |  浏览/下载：336/97  |  提交时间：2019/04/30
Lithium-ion Cell Screening  Time-series Clustering  Resampling  Convolutional Neural Networks