咨询与建议

限定检索结果

文献类型

  • 688 篇 会议
  • 468 篇 期刊文献
  • 10 册 图书

馆藏范围

  • 1,166 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 703 篇 工学
    • 382 篇 计算机科学与技术...
    • 339 篇 软件工程
    • 196 篇 控制科学与工程
    • 158 篇 电气工程
    • 115 篇 信息与通信工程
    • 108 篇 机械工程
    • 82 篇 电子科学与技术(可...
    • 67 篇 生物工程
    • 66 篇 生物医学工程(可授...
    • 53 篇 动力工程及工程热...
    • 51 篇 光学工程
    • 47 篇 仪器科学与技术
    • 32 篇 交通运输工程
    • 27 篇 化学工程与技术
    • 22 篇 力学(可授工学、理...
    • 20 篇 材料科学与工程(可...
    • 19 篇 航空宇航科学与技...
    • 19 篇 安全科学与工程
  • 350 篇 理学
    • 167 篇 数学
    • 96 篇 物理学
    • 78 篇 系统科学
    • 73 篇 生物学
    • 45 篇 统计学(可授理学、...
    • 34 篇 化学
  • 168 篇 管理学
    • 118 篇 管理科学与工程(可...
    • 53 篇 图书情报与档案管...
    • 46 篇 工商管理
  • 49 篇 医学
    • 41 篇 临床医学
    • 33 篇 基础医学(可授医学...
    • 28 篇 药学(可授医学、理...
  • 17 篇 法学
  • 16 篇 经济学
  • 6 篇 农学
  • 5 篇 教育学
  • 4 篇 艺术学
  • 2 篇 文学
  • 1 篇 军事学

主题

  • 29 篇 mathematical mod...
  • 28 篇 control systems
  • 24 篇 neural networks
  • 23 篇 automation
  • 21 篇 robustness
  • 20 篇 laboratories
  • 18 篇 image segmentati...
  • 17 篇 cellular neural ...
  • 17 篇 optimization
  • 17 篇 automatic contro...
  • 16 篇 computer network...
  • 15 篇 reinforcement le...
  • 15 篇 computer archite...
  • 15 篇 computational mo...
  • 15 篇 machine learning
  • 15 篇 artificial intel...
  • 14 篇 semantics
  • 14 篇 nonlinear system...
  • 14 篇 sensors
  • 14 篇 training

机构

  • 29 篇 department of au...
  • 22 篇 department of au...
  • 21 篇 school of automa...
  • 20 篇 college of compu...
  • 19 篇 institute of aut...
  • 16 篇 school of automa...
  • 16 篇 school of artifi...
  • 13 篇 department of au...
  • 13 篇 school of automa...
  • 13 篇 shanghai united ...
  • 12 篇 infn sezione di ...
  • 12 篇 north-west unive...
  • 12 篇 institut univers...
  • 12 篇 université de st...
  • 12 篇 department of co...
  • 12 篇 ncsr demokritos ...
  • 12 篇 infn sezione di ...
  • 12 篇 infn sezione di ...
  • 12 篇 comenius univers...
  • 12 篇 infn sezione di ...

作者

  • 38 篇 niyato dusit
  • 36 篇 kang jiawen
  • 21 篇 du hongyang
  • 20 篇 zhu dajiang
  • 20 篇 liu zhengliang
  • 20 篇 li xiang
  • 19 篇 xiong zehui
  • 19 篇 liu tianming
  • 17 篇 wu zihao
  • 15 篇 ma chong
  • 15 篇 shen dinggang
  • 15 篇 gang xiong
  • 13 篇 jiang xi
  • 13 篇 dai haixing
  • 13 篇 peng shi
  • 12 篇 chen a.
  • 12 篇 benoit d.m.
  • 12 篇 ferrara g.
  • 12 篇 ardid m.
  • 12 篇 calvo d.

语言

  • 1,000 篇 英文
  • 156 篇 其他
  • 13 篇 中文
检索条件"机构=Computing Engineering and Automation Department"
1166 条 记 录,以下是551-560 订阅
排序:
Learning to reconstruct and understand indoor scenes from sparse views
arXiv
收藏 引用
arXiv 2019年
作者: Yang, Jingyu Xu, Ji Li, Kun Lai, Yu-Kun Yue, Huanjing Lu, Jianzhi Wu, Hao Liu, Yebin School of Electrical and Information Engineering Tianjin University Tianjin300072 China Tianjin Key Laboratory of Cognitive Computing and Application College of Intelligence and Computing Tianjin University Tianjin300350 China School of Computer Science and Informatics Cardiff University Wales United Kingdom 3vjia company Department of Automation Tsinghua University Beijing10084 China
This paper proposes a new method for simultaneous 3D reconstruction and semantic segmentation of indoor scenes. Unlike existing methods that require recording a video using a color camera and/or a depth camera, our me... 详细信息
来源: 评论
Mechanistic Modeling and Multiscale Applications for Precision Medicine: Theory and Practice
Network and Systems Medicine
收藏 引用
Network and Systems Medicine 2020年 第1期3卷 36-56页
作者: Stalidzans, Egils Zanin, Massimiliano Tieri, Paolo Castiglione, Filippo Polster, Annikka Scheiner, Stefan Pahle, Jürgen Stres, Blaž List, Markus Baumbach, Jan Lautizi, Manuela Van Steen, Kristel Schmidt, Harald H.H.W. Computational Systems Biology Group University of Latvia Riga Latvia Latvian Biomedical Reasearch and Study Centre Riga Latvia Centro de Tecnología Biomédica Universidad Politécnica de Madrid Pozuelo de Alarcón Spain CNR National Research Council IAC Institute for Applied Computing Rome Italy Oslo Norway Institute for Mechanics of Materials and Structures Vienna University of Technology Vienna Austria BioQuant Heidelberg University Heidelberg Germany Department of Animal Science University of Ljubljana Ljubljana Slovenia Faculty of Civil and Geodetic Engineering University of Ljubljana Ljubljana Slovenia Department of Automation Biocybernetics and Robotics Jozef Stefan Institute Ljubljana Slovenia Big Data in BioMedicine Research Group Chair of Experimental Bioinformatics TUM School of Weihenstephan Technical University of Munich Freising Germany Chair of Experimental Bioinformatics TUM School of Weihenstephan Technical University of Munich Freising Germany Computational Systems Medicine Research Group Chair of Experimental Bioinformatics TUM School of Weihenstephan Technical University of Munich Freising Germany BIO-Systems Genetics GIGA-R University of Liège Liège Belgium BIO3 - Systems Medicine Department of Human Genetics KU Leuven Leuven Belgium Department of Pharmacology and Personalised Medicine Faculty of Health Medicine and Life Science Maastricht University Maastricht Netherlands
Drug research, therapy development, and other areas of pharmacology and medicine can benefit from simulations and optimization of mathematical models that contain a mathematical description of interactions between sys... 详细信息
来源: 评论
The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions
arXiv
收藏 引用
arXiv 2023年
作者: Ma, Jun Xie, Ronald Ayyadhury, Shamini Ge, Cheng Gupta, Anubha Gupta, Ritu Gu, Song Zhang, Yao Lee, Gihun Kim, Joonkee Lou, Wei Li, Haofeng Upschulte, Eric Dickscheid, Timo de Almeida, José Guilherme Wang, Yixin Han, Lin Yang, Xin Labagnara, Marco Gligorovski, Vojislav Scheder, Maxime Rahi, Sahand Jamal Kempster, Carly Pollitt, Alice Espinosa, Leon Mignot, Tâm Middeke, Jan Moritz Eckardt, Jan-Niklas Li, Wangkai Li, Zhaoyang Cai, Xiaochen Bai, Bizhe Greenwald, Noah F. Van Valen, David Weisbart, Erin Cimini, Beth A. Cheung, Trevor Brück, Oscar Bader, Gary D. Wang, Bo Peter Munk Cardiac Centre University Health Network TorontoON Canada Department of Laboratory Medicine and Pathobiology University of Toronto TorontoON Canada Vector Institute TorontoON Canada Department of Molecular Genetics University of Toronto TorontoON Canada Donnelly Centre University of Toronto TorontoON Canada Princess Margaret Cancer Centre University Health Network TorontoON Canada School of Medicine and Pharmacy Ocean University of China Qingdao China New Delhi India Laboratory Oncology Dr. BRA-IRCH All India Institute of Medical Sciences New Delhi India Department of Image Reconstruction Nanjing Anke Medical Technology Co. Ltd. Nanjing China Shanghai Artificial Intelligence Laboratory Shanghai China Graduate School of AI KAIST Seoul Korea Republic of Shenzhen Research Institute of Big Data Shenzhen China Shenzhen China Helmholtz AI Research Center Jülich Jülich Germany Faculty of Mathematics and Natural Sciences Institute of Computer Science Heinrich Heine University Düsseldorf Düsseldorf Germany Hinxton United Kingdom Champalimaud Foundation - Centre for the Unknown Lisbon Portugal Department of Bioengineering Stanford University Palo AltoCA United States Tandon School of Engineering New York University New YorkNY United States School of Biomedical Engineering Health Science Center Shenzhen University Shenzhen China Lausanne Switzerland School of Biological Sciences University of Reading Reading United Kingdom Laboratoire de Chimie Bactérienne CNRS Université Aix Marseille UMR Institut de Microbiologie de la Méditerranée Marseille France Department of Internal Medicine I University Hospital Dresden Technical University Dresden Dresden Germany Else Kroener Fresenius Center for Digital Health Technical University Dresden Dresden Germany Department of Automation University of Science and Technology of China Hefei China Institute of Advanced Technology University of Science and Technology of China Hefei Chi
Cell segmentation is a critical step for quantitative single-cell analysis in microscopy images. Existing cell segmentation methods are often tailored to specific modalities or require manual interventions to specify ... 详细信息
来源: 评论
Image segmentation via the continuous max-flow method based on chan-vese model  12th
Image segmentation via the continuous max-flow method based ...
收藏 引用
12th Chinese conference on Advances in Image and Graphics Technologies, IGTA 2017
作者: Hou, Guojia Pan, Huizhu Zhao, Ruixue Hao, Zhonghua Liu, Wanquan College of Computer Science and Technology Qingdao University Qingdao China KingKen Technology Company Ltd. Qingdao China College of Automation and Electrical Engineering Qingdao University Qingdao China Department of Computing Curtin University Perth Australia
The Chan-Vese model using variational level set method (VSLM) has been widely used in image segmentation, but its efficiency is a challenge problem due to high computation costs of curvature as well as the Eiknal equa... 详细信息
来源: 评论
Common Limitations of Image Processing Metrics: A Picture Story
arXiv
收藏 引用
arXiv 2021年
作者: Reinke, Annika Tizabi, Minu D. Sudre, Carole H. Eisenmann, Matthias Rädsch, Tim Baumgartner, Michael Acion, Laura Antonelli, Michela Arbel, Tal Bakas, Spyridon Bankhead, Peter Benis, Arriel Blaschko, Matthew Buettner, Florian Cardoso, M. Jorge Chen, Jianxu Cheplygina, Veronika Christodoulou, Evangelia Cimini, Beth A. Collins, Gary S. Engelhardt, Sandy Farahani, Keyvan Ferrer, Luciana Galdran, Adrian van Ginneken, Bram Glocker, Ben Godau, Patrick Haase, Robert Hamprecht, Fred Hashimoto, Daniel A. Heckmann-Nötzel, Doreen Hirsch, Peter Hoffman, Michael M. Huisman, Merel Isensee, Fabian Jannin, Pierre Kahn, Charles E. Kainmueller, Dagmar Kainz, Bernhard Karargyris, Alexandros Karthikesalingam, Alan Kavur, A. Emre Kenngott, Hannes Kleesiek, Jens Kleppe, Andreas Koehler, Sven Kofler, Florian Kopp-Schneider, Annette Kooi, Thijs Kozubek, Michal Kreshuk, Anna Kurc, Tahsin Landman, Bennett A. Litjens, Geert Madani, Amin Maier-Hein, Klaus Martel, Anne L. Mattson, Peter Meijering, Erik Menze, Bjoern Moher, David Moons, Karel G.M. Müller, Henning Nichyporuk, Brennan Nickel, Felix Noyan, M. Alican Petersen, Jens Polat, Gorkem Rafelski, Susanne M. Rajpoot, Nasir Reyes, Mauricio Rieke, Nicola Riegler, Michael A. Rivaz, Hassan Saez-Rodriguez, Julio Sánchez, Clara I. Schroeter, Julien Saha, Anindo Selver, M. Alper Sharan, Lalith Shetty, Shravya Smeden, Maarten V.A.N. Stieltjes, Bram Summers, Ronald M. Taha, Abdel A. Tiulpin, Aleksei Tsaftaris, Sotirios A. Calster, Ben V.A.N. Varoquaux, Gaël Wiesenfarth, Manuel Yaniv, Ziv R. Jäger, Paul Maier-Hein, Lena Division of Intelligent Medical Systems and HI Helmholtz Imaging Heidelberg Germany Faculty of Mathematics and Computer Science Heidelberg University Heidelberg Germany Division of Intelligent Medical Systems Heidelberg Germany NCT Heidelberg DKFZ University Medical Center Heidelberg Germany MRC Unit for Lifelong Health and Ageing UCL Centre for Medical Image Computing Department of Computer Science University College London London United Kingdom School of Biomedical Engineering and Imaging Science King’s College London London United Kingdom Division of Medical Image Computing Heidelberg Germany Instituto de Cálculo CONICET – Universidad de Buenos Aires Buenos Aires Argentina Centre for Medical Image Computing University College London London United Kingdom McGill University Montréal Canada Division of Computational Pathology Dept of Pathology & Laboratory Medicine Indiana University School of Medicine IU Health Information and Translational Sciences Building Indianapolis United States University of Pennsylvania Richards Medical Research Laboratories FL7 PhiladelphiaPA United States Institute of Genetics and Cancer University of Edinburgh Edinburgh United Kingdom Department of Digital Medical Technologies Holon Institute of Technology Holon Israel European Federation for Medical Informatics Le Mont-sur-Lausanne Switzerland Center for Processing Speech and Images Department of Electrical Engineering KU Leuven Kasteelpark Arenberg 10 - box 2441 Leuven3001 Belgium Frankfurt/Mainz DKFZ UCT Frankfurt-Marburg Germany Heidelberg Germany Goethe University Frankfurt Department of Medicine Germany Goethe University Frankfurt Department of Informatics Germany Frankfurt Cancer Insititute Germany Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. Dortmund Germany Department of Computer Science IT University of Copenhagen Copenhagen Denmark Imaging Platform Broad Institute of MIT and Harvard CambridgeMA United States Centre for St
While the importance of automatic image analysis is continuously increasing, recent meta-research revealed major flaws with respect to algorithm validation. Performance metrics are particularly key for meaningful, obj... 详细信息
来源: 评论
Supervised Online Hashing via Similarity Distribution Learning
arXiv
收藏 引用
arXiv 2019年
作者: Lin, Mingbao Ji, Rongrong Chen, Shen Zheng, Feng Sun, Xiaoshuai Zhang, Baochang Cao, Liujuan Guo, Guodong Huang, Feiyue Fujian Key Laboratory of Sensing and Computing for Smart City School of Information Science and Engineering Xiamen University China Peng Cheng Laboratory China Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen China School of Automation Science and Electrical Engineering Beihang University China Baidu Research Institute of Deep Learning Co. Ltd China
Online hashing has attracted extensive research attention when facing streaming data. Most online hashing methods, learning binary codes based on pairwise similarities of training instances, fail to capture the semant... 详细信息
来源: 评论
Towards Orientation Learning and Adaptation in Cartesian Space
arXiv
收藏 引用
arXiv 2019年
作者: Huang, Yanlong Abu-Dakka, Fares J. Silvério, João Caldwell, Darwin G. School of Computing University of Leeds LeedsLS29JT United Kingdom Intelligent Robotics Group The Department of Electrical Engineering and Automation Aalto University Finland Idiap Research Institute MartignyCH-1920 Switzerland Department of Advanced Robotics Istituto Italiano di Tecnologia Via Morego 30 Genoa16163 Italy
As a promising branch of robotics, imitation learning emerges as an important way to transfer human skills to robots, where human demonstrations represented in Cartesian or joint spaces are utilized to estimate task/s... 详细信息
来源: 评论
Spatial sparse subspace clustering for compressive spectral imaging
arXiv
收藏 引用
arXiv 2019年
作者: Zhu, Jianchen Zhang, Tong Zhao, Shengjie Hinojosa, Carlos Liu, Zengli Arce, Gonzalo R. Key Laboratory of Embedded System and Service Computing Ministry of Education School of Software Engineering Tongji University Shanghai201804 China School of Electronic and Information Engineering Tongji University Shanghai201804 China Department of System Engineering and Informatics Universidad Industrial de Santander Bucaramanga680002 Colombia Institute of information engineering and automation Computer Center Kunming University of Science and Technology Kunming650500 China Department of Electrical and Computer Engineering University of Delaware NewarkDE19716 United States
This paper aims at developing a clustering approach with spectral images directly from CASSI compressive measurements. The proposed clustering method first assumes that compressed measurements lie in the union of mult... 详细信息
来源: 评论
Output Group Consensus for Heterogeneous Linear Multi-Agent Systems Communicating over Switching Topology  36
Output Group Consensus for Heterogeneous Linear Multi-Agent ...
收藏 引用
第36届中国控制会议
作者: Jiahu Qin Qichao Ma Wei Xing Zheng Department of Automation University of Science and Technology of China School of Computing Engineering and MathematicsWestern Sydney University
In this paper,we aim to investigate the output group consensus problem for a switching network of heterogeneous linear systems such that outputs of the agents synchronize with each other in every *** the internal mode... 详细信息
来源: 评论
Design and Implementation of RFID based Smart Shopping Booth
Design and Implementation of RFID based Smart Shopping Booth
收藏 引用
International Conference on Information Science and Control engineering (ICISCE)
作者: Ehtisham Lodhi Fenghua Zhu Zeeshan Lodhi Qasim Saleem Gang Xiong FeiYue Wang The State Key Laboratory for Management and Control of Complex Systems Chinese Academy of Sciences Beijing China Department of Electrical and Computer Engineering COMSATS University Islamabad Pakistan School of Automation Science and Electrical Engineering Beihang University Beijing China The Cloud Computing Center Chinese Academy of Sciences Dongguan China Beijing Engineering Research Center of Intelligent Systems and Technology Chinese Academy of Sciences Beijing China
In this modern era, technology has advanced to such an extent to make our daily life more proficient and convenient. This paper presents the design and implementation of vending machine (VM) for students, which operat...
来源: 评论