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A robust transformer-based pipeline of 3D cell alignment, denoise and instance segmentation on electron microscopy sequence images 期刊论文
Journal of Plant Physiology, 2024, 页码: 154236
作者:  Jiazheng, Liu;  Yafeng, Zheng;  Limei, Lin;  Jingyue, Guo;  Yanan, Lv;  Jingbin, Yuan;  Hao, Zhai;  Xi, Chen;  Lijun, Shen;  LinLin, Li;  Shunong, Bai;  Hua, Han
Adobe PDF(15549Kb)  |  收藏  |  浏览/下载：10/4  |  提交时间：2024/06/11
A Non-Parametric Scheme for Identifying Data Characteristic Based on Curve Similarity Matching 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1424-1437
作者:  Quanbo Ge;  Yang Cheng;  Hong Li;  Ziyi Ye;  Yi Zhu;  Gang Yao
Adobe PDF(2544Kb)  |  收藏  |  浏览/下载：30/11  |  提交时间：2024/05/22
Curve similarity matching  Gaussian-like noise  non-parametric scheme  parzen window  
Video Polyp Segmentation: A Deep Learning Perspective 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 6, 页码: 531-549
作者:  Ge-Peng Ji;  Guobao Xiao;  Yu-Cheng Chou;  Deng-Ping Fan;  Kai Zhao;  Geng Chen;  Luc Van Gool
Adobe PDF(9520Kb)  |  收藏  |  浏览/下载：30/6  |  提交时间：2024/04/23
Video polyp segmentation (VPS)  dataset  self-attention  colonoscopy  abdomen  
Can Digital Intelligence and Cyber-Physical-Social Systems Achieve Global Food Security and Sustainability? 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2070-2080
作者:  Yanfen Wang;  Mengzhen Kang;  Yali Liu;  Juanjuan Li;  Kai Xue;  Xiujuan Wang;  Jianqing Du;  Yonglin Tian;  Qinghua Ni;  Fei-Yue Wang
Adobe PDF(9632Kb)  |  收藏  |  浏览/下载：263/151  |  提交时间：2023/09/22
Carbon-water balance  decision-support  digital intelligence (DI)  foundation models  planning  
Deep residual contextual and subpixel convolution network for automated neuronal structure segmentation in micro-connectomics 期刊论文
Computer Methods and Programs in Biomedicine, 2022, 卷号: 219, 页码: 106759
作者:  Xiao, Chi;  Hong, Bei;  Liu, Jing;  Tang, Yuanyan;  Xie, Qiwei;  Han, Hua
Adobe PDF(2731Kb)  |  收藏  |  浏览/下载：268/63  |  提交时间：2023/01/12
Deep learning  Neuronal structure segmentation  Subpixel convolution  Electron microscopy  Micro-Connectomics  
Neuronal Morphological Model-Driven Image Registration for Serial Electron Microscopy Sections 期刊论文
Frontiers in Human Neuroscience, 2022, 页码: 20
作者:  Zhou FX(周芳旭)
Adobe PDF(5155Kb)  |  收藏  |  浏览/下载：229/41  |  提交时间：2022/06/17
Formation control with collision avoidance through deep reinforcement learning using model-guided demonstration 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2021, 卷号: 32, 期号: 6, 页码: 2358-2372
作者:  Zezhi Sui;  Zhiqiang Pu;  Jianqiang Yi;  Shiguang Wu
Adobe PDF(5344Kb)  |  收藏  |  浏览/下载：246/80  |  提交时间：2022/04/02
Collision avoidance  deep reinforcement learning (DRL)  formation control  leader–follower  
Multi-source Remote Sensing Image Registration Based on Contourlet Transform and Multiple Feature Fusion 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 575-588
作者:  Huan Liu;  Gen-Fu Xiao;  Yun-Lan Tan;  Chun-Juan Ouyang
浏览  |  Adobe PDF(2216Kb)  |  收藏  |  浏览/下载：161/43  |  提交时间：2021/02/22
Feature fusion  multi-scale circle Gaussian combined invariant moment  multi-direction gray level co-occurrence matrix  multi-source remote sensing image registration  contourlet transform.  
Localization and Classification of Rice-grain Images Using Region Proposals-based Convolutional Neural Network 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 233-246
作者:  Kittinun Aukkapinyo;  Suchakree Sawangwong;  Parintorn Pooyoi;  Worapan Kusakunniran
浏览  |  Adobe PDF(1162Kb)  |  收藏  |  浏览/下载：208/60  |  提交时间：2021/02/22
Mask region-based convolutional neural networks (R-CNN)  computer vision  deep learning  rice grain classification  transfer learning.  
Automatic Metallic Surface Defect Detection and Recognition with Convolutional Neural Networks 期刊论文
APPLIED SCIENCES-BASEL, 2018, 卷号: 8, 期号: 9, 页码: 15
作者:  Tao Xian;  Zhang Dapeng;  Ma Wenzhi;  Liu Xilong;  Xu De;  Xian Tao
浏览  |  Adobe PDF(3978Kb)  |  收藏  |  浏览/下载：984/436  |  提交时间：2018/10/02
metallic surface  autoencoder  convolutional neural network  defect detection