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检索条件"机构=Zhejiang Key Laboratory of Biomedical Intelligent Computing Technology"
305 条 记 录,以下是71-80 订阅
排序:
Quantification of Valve Stiction in Control Loops Using Adaptive Differential Evolution Algorithm
Quantification of Valve Stiction in Control Loops Using Adap...
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Chinese Automation Congress (CAC)
作者: Dong Yang Xun Lang Jiande Wu Wanke Yu Songhua Liu Lei Xie Department of Electronic Engineering Information School Yunnan University Kunming China Yunnan Key Laboratory of Intelligent Systems and Computing Yunnan University Kunming China School of Automation China University of Geosciences Wuhan China State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou China
Accurately and promptly quantifying stiction is crucial for valve maintenance in industrial settings and ensuring the stability of control loop performance. However, current Hammerstein-based stiction quantification m... 详细信息
来源: 评论
Replace2Self: Self-Supervised Denoising based on Voxel Replacing and Image Mixing for Diffusion MRI
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IEEE Transactions on Medical Imaging 2025年 PP卷 PP页
作者: Wu, Linhai Wang, Lihui Deng, Zeyu Zhu, Yuemin Wei, Hongjiang Guizhou University Key Laboratory of Advanced Medical Imaging and Intelligent Computing of Guizhou Province Engineering Research Center of Text Computing & Cognitive Intelligence Ministry of Education State Key Laboratory of Public Big Data College of Computer Science and Technology 550025 China Univ Lyon INSA Lyon CNRS Inserm CREATIS UMR 5220 LyonF-69621 France Shanghai Jiao Tong University School of Biomedical Engineering Shanghai200030 China
Low signal to noise ratio (SNR) remains one of the limitations of diffusion weighted (DW) imaging. How to suppress the influence of noise on the subsequent analysis about the tissue microstructure is still challenging... 详细信息
来源: 评论
Efficient and Sustainable Battery-Swap Service for On-Demand Food Delivery Platform: An Aiot-Based System
SSRN
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SSRN 2023年
作者: Liu, Xuanwu Li, Zhao Zhang, Jiarun Li, Ming Ren, Guoqi Huang, Jiaming Zhang, Ji Hangzhou Yugu Technology Co. Ltd. Hangzhou China Key Laboratory of Intelligent Education Technology Application of Zhejiang Province Zhejiang Normal University Jinhua China School of Mathematics Physics and Computing University of Southern Queensland Toowoomba Australia
The food delivery industry has undergone significant growth in recent years, providing a large number of jobs globally through on-demand delivery services. In densely populated areas, such as major cities in China, fo... 详细信息
来源: 评论
Efficient and Sustainable Battery-Swap Service for On-Demand Food Delivery Platform: An Aiot-Based System
SSRN
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SSRN 2023年
作者: Liu, Xuanwu Li, Zhao Zhang, Jiarun Li, Ming Ren, Guoqi Huang, Jiaming Zhang, Ji Hangzhou Yugu Technology Co. Ltd. Hangzhou China Key Laboratory of Intelligent Education Technology Application of Zhejiang Province Zhejiang Normal University Jinhua China School of Mathematics Physics and Computing University of Southern Queensland Toowoomba Australia
The food delivery industry has undergone significant growth in recent years, providing a large number of jobs globally through on-demand delivery services. In densely populated areas, such as major cities in China, fo... 详细信息
来源: 评论
TFGDA: exploring topology and feature alignment in semi-supervised graph domain adaptation through robust clustering  24
TFGDA: exploring topology and feature alignment in semi-supe...
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Proceedings of the 38th International Conference on Neural Information Processing Systems
作者: Jun Dan Weiming Liu Chunfeng Xie Hua Yu Shunjie Dong Yanchao Tan Zhejiang University Queen Mary University of London Dalian University of Technology Shanghai Jiao Tong University Fuzhou University and Engineering Research Center of Big Data Intelligence Ministry of Education and Fujian Key Laboratory of Network Computing and Intelligent Information Processing
Semi-supervised graph domain adaptation, as a branch of graph transfer learning, aims to annotate unlabeled target graph nodes by utilizing transferable knowledge learned from a label-scarce source graph. However, mos...
来源: 评论
MS-Glance: Bio-Inspired Non-Semantic Context Vectors and Their Applications in Supervising Image Reconstruction
MS-Glance: Bio-Inspired Non-Semantic Context Vectors and The...
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IEEE Workshop on Applications of Computer Vision (WACV)
作者: Ziqi Gao Wendi Yang Yujia Li Lei Xing S. Kevin Zhou Division of Life Sciences and Medicine School of Biomedical Engineering University of Science and Technology of China (USTC) Hefei Anhui China Center for Medical Imaging Robotics Analytic Computing & Learning (MIRACLE) Suzhou Institute for Advance Research USTC Suzhou Jiangsu China Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS) Institute of Computing Technology China Department of Radiation Oncology Stanford University Stanford CA USA Key Laboratory of Precision and Intelligent Chemistry USTC CAS Hefei Anhui
Non-semantic context information is crucial for visual recognition, as the human visual perception system first uses global statistics to process scenes rapidly before identifying specific objects. However, while sema... 详细信息
来源: 评论
Reliable Multi-Modal Object Re-Identification via Modality-Aware Graph Reasoning
arXiv
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arXiv 2025年
作者: Wan, Xixi Zheng, Aihua Wang, Zi Jiang, Bo Tang, Jin Ma, Jixin Information Materials and Intelligent Sensing Laboratory of Anhui Province Anhui Provincial Key Laboratory of Security Artificial Intelligence School of Artificial Intelligence Anhui University Hefei230601 China School of Biomedical Engineering Anhui Medical University Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei China Anhui Provincial Key Laboratory of Multimodal Cognitive Computation School of Computer Science and Technology Anhui University Hefei230601 China School of Computing and Mathematical Sciences University of Greenwich LondonSE10 9LS United Kingdom
Multi-modal data provides abundant and diverse object information, crucial for effective modal interactions in Re-Identification (ReID) tasks. However, existing approaches often overlook the quality variations in loca... 详细信息
来源: 评论
3D Anatomical Structure-Guided Deep Learning for Accurate Diffusion Microstructure Imaging
3D Anatomical Structure-Guided Deep Learning for Accurate Di...
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IEEE International Symposium on biomedical Imaging
作者: Xinrui Ma Jian Cheng Wenxin Fan Ruoyou Wu Yongquan Ye Shanshan Wang Paul C. Lauterbur Research Center for Biomedical Imaging Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen Guangdong China University of Chinese Academy of Sciences Beijing China State Key Laboratory of Software Development Environment Beihang University Beijing China Key Laboratory of Data Science and Intelligent Computing Institute of International Innovation Beihang University Hangzhou Zhejiang China Pengcheng Laboratory Shenzhen Guangdong China United Imaging Healthcare Houston TX USA
Diffusion magnetic resonance imaging (dMRI) is a crucial non-invasive technique for exploring the microstructure of the living human brain. Traditional hand-crafted and model-based tissue microstructure reconstruction... 详细信息
来源: 评论
A study of 10 Rotating Radio Transients using Parkes radio telescope
arXiv
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arXiv 2024年
作者: Ren, Xinhui Wang, Jingbo Yan, Wenming Xie, Jintao Wang, Shuangqiang Wen, Yirong Xia, Yong Xinjiang Astronomical Observatory Chinese Academy of Sciences Xinjiang Urumqi830011 China University of Chinese Academy of Sciences Beijing100049 China Institute of Optoelectronic Technology Lishui University Zhejiang Lishui323000 China Xinjiang Key Laboratory of Radio Astrophysics Xinjiang Urumqi830011 China Research Center for Intelligent Computing Platforms Zhejiang Laboratory Zhejiang Hangzhou311100 China
Rotating Radio Transients (RRATs) are a relatively new subclass of pulsars that emit detectable radio bursts sporadically. We conducted an analysis of 10 RRATs observed using the Parkes telescope, with 8 of these obse... 详细信息
来源: 评论
Prediction of piRNA-mRNA interactions based on an interactive inference network
Prediction of piRNA-mRNA interactions based on an interactiv...
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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
作者: Yajun Liu Ru Li Aimin Li Rong Fei Xie Guo Fang-Xiang Wu Shaanxi Key Laboratory for Network Computing and Security Technology Xi'an University of Technology Xi'an China Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an University of Technology Xi'an China Department of Computer Science Department of Mechanical Engineering Division of Biomedical Engineering University of Saskatchewan Saskatoon Canada
As the largest class of small non-coding RNAs, piRNAs primarily present in the reproductive cells of mammals, which influence post-transcriptional processes of mRNAs in multiple ways. Effective methods for predicting ...
来源: 评论