咨询与建议

限定检索结果

文献类型

  • 8,557 篇 会议
  • 4,718 篇 期刊文献
  • 116 册 图书

馆藏范围

  • 13,391 篇 电子文献
  • 1 种 纸本馆藏

日期分布

学科分类号

  • 7,094 篇 工学
    • 2,977 篇 计算机科学与技术...
    • 2,440 篇 软件工程
    • 2,053 篇 控制科学与工程
    • 1,600 篇 电气工程
    • 1,386 篇 电子科学与技术(可...
    • 1,369 篇 信息与通信工程
    • 767 篇 机械工程
    • 595 篇 生物工程
    • 590 篇 光学工程
    • 508 篇 生物医学工程(可授...
    • 498 篇 仪器科学与技术
    • 495 篇 材料科学与工程(可...
    • 478 篇 动力工程及工程热...
    • 427 篇 化学工程与技术
    • 292 篇 力学(可授工学、理...
    • 253 篇 交通运输工程
    • 184 篇 安全科学与工程
  • 4,449 篇 理学
    • 2,058 篇 数学
    • 1,597 篇 物理学
    • 901 篇 系统科学
    • 687 篇 生物学
    • 668 篇 统计学(可授理学、...
    • 481 篇 化学
  • 1,127 篇 管理学
    • 857 篇 管理科学与工程(可...
    • 429 篇 工商管理
    • 295 篇 图书情报与档案管...
  • 449 篇 医学
    • 369 篇 临床医学
    • 297 篇 基础医学(可授医学...
    • 199 篇 药学(可授医学、理...
  • 215 篇 法学
    • 196 篇 社会学
  • 158 篇 经济学
  • 72 篇 农学
  • 69 篇 教育学
  • 46 篇 文学
  • 22 篇 军事学
  • 20 篇 艺术学
  • 1 篇 哲学
  • 1 篇 历史学

主题

  • 420 篇 control systems
  • 385 篇 systems engineer...
  • 202 篇 voltage
  • 198 篇 educational inst...
  • 184 篇 intelligent robo...
  • 174 篇 cameras
  • 172 篇 robot sensing sy...
  • 164 篇 switches
  • 163 篇 mobile robots
  • 157 篇 bandwidth
  • 156 篇 application soft...
  • 152 篇 laboratories
  • 150 篇 throughput
  • 144 篇 robots
  • 133 篇 optimization
  • 122 篇 computer archite...
  • 118 篇 neural networks
  • 114 篇 sensor systems
  • 114 篇 convergence
  • 111 篇 power system mod...

机构

  • 440 篇 department of el...
  • 215 篇 electrical compu...
  • 161 篇 department of el...
  • 99 篇 center for power...
  • 85 篇 department of el...
  • 83 篇 department of el...
  • 78 篇 department of el...
  • 73 篇 department of el...
  • 67 篇 ieee
  • 41 篇 department of el...
  • 41 篇 institute of sys...
  • 39 篇 department of el...
  • 39 篇 department of el...
  • 36 篇 department of el...
  • 34 篇 department of el...
  • 33 篇 robotics institu...
  • 32 篇 center for power...
  • 32 篇 electrical compu...
  • 29 篇 school of electr...
  • 28 篇 department of co...

作者

  • 113 篇 pedrycz witold
  • 71 篇 johansson karl h...
  • 64 篇 mengchu zhou
  • 62 篇 witold pedrycz
  • 52 篇 fred c. lee
  • 51 篇 john s. baras
  • 43 篇 m. zahn
  • 43 篇 leila parsa
  • 42 篇 shuzhi sam ge
  • 40 篇 a.c. sanderson
  • 36 篇 sun jian
  • 36 篇 ghandhi sk
  • 31 篇 a.q. huang
  • 31 篇 shur michael s.
  • 29 篇 a.a. desrochers
  • 29 篇 f. wang
  • 26 篇 niyato dusit
  • 26 篇 f.c. lee
  • 25 篇 a.t. de almeida
  • 25 篇 xi ning

语言

  • 11,910 篇 英文
  • 1,293 篇 其他
  • 190 篇 中文
  • 3 篇 德文
  • 3 篇 日文
  • 1 篇 法文
  • 1 篇 朝鲜文
检索条件"机构=Institute of Systems and Robotics and with the Department of Electrical and Computer Engineering"
13391 条 记 录,以下是4311-4320 订阅
排序:
Gradient descent in materia through homodyne gradient extraction
arXiv
收藏 引用
arXiv 2021年
作者: Boon, Marcus N. Cassola, Lorenzo Euler, Hans-Christian Ruiz Chen, Tao van de Ven, Bram Ibarra, Unai Alegre Bobbert, Peter A. van der Wiel, Wilfred G. NanoElectronics Group MESA+ Institute for Nanotechnology BRAINS Center for Brain-Inspired Nano Systems University of Twente PO Box 217 Enschede7500 AE Netherlands Exzellenzcluster Science of Intelligence Technische Universität Berlin Marchstr. 23 Berlin10587 Germany Department for Electrical Engineering and Computer Science Modeling of Cognitive Processes Technische Universität Berlin Berlin Germany Molecular Materials and Nanosystems Eindhoven Institute for Renewable Energy Systems Department of Applied Physics Eindhoven University of Technology PO Box 513 Eindhoven5600 MB Netherlands Institute of Physics University of Münster Münster48149 Germany
Deep learning, a multi-layered neural network approach inspired by the brain, has revolutionized machine learning [1]. One of its key enablers has been backpropagation [2], an algorithm that computes the gradient of a... 详细信息
来源: 评论
BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets
收藏 引用
Nature methods 2023年 第6期20卷 824-835页
作者: Linus Manubens-Gil Zhi Zhou Hanbo Chen Arvind Ramanathan Xiaoxiao Liu Yufeng Liu Alessandro Bria Todd Gillette Zongcai Ruan Jian Yang Miroslav Radojević Ting Zhao Li Cheng Lei Qu Siqi Liu Kristofer E Bouchard Lin Gu Weidong Cai Shuiwang Ji Badrinath Roysam Ching-Wei Wang Hongchuan Yu Amos Sironi Daniel Maxim Iascone Jie Zhou Erhan Bas Eduardo Conde-Sousa Paulo Aguiar Xiang Li Yujie Li Sumit Nanda Yuan Wang Leila Muresan Pascal Fua Bing Ye Hai-Yan He Jochen F Staiger Manuel Peter Daniel N Cox Michel Simonneau Marcel Oberlaender Gregory Jefferis Kei Ito Paloma Gonzalez-Bellido Jinhyun Kim Edwin Rubel Hollis T Cline Hongkui Zeng Aljoscha Nern Ann-Shyn Chiang Jianhua Yao Jane Roskams Rick Livesey Janine Stevens Tianming Liu Chinh Dang Yike Guo Ning Zhong Georgia Tourassi Sean Hill Michael Hawrylycz Christof Koch Erik Meijering Giorgio A Ascoli Hanchuan Peng Institute for Brain and Intelligence Southeast University Nanjing China. Microsoft Corporation Redmond WA USA. Tencent AI Lab Bellevue WA USA. Computing Environment and Life Sciences Directorate Argonne National Laboratory Lemont IL USA. Kaya Medical Seattle WA USA. University of Cassino and Southern Lazio Cassino Italy. Center for Neural Informatics Structures and Plasticity Krasnow Institute for Advanced Study George Mason University Fairfax VA USA. Faculty of Information Technology Beijing University of Technology Beijing China. Beijing International Collaboration Base on Brain Informatics and Wisdom Services Beijing China. Nuctech Netherlands Rotterdam the Netherlands. Janelia Research Campus Howard Hughes Medical Institute Ashburn VA USA. Department of Electrical and Computer Engineering University of Alberta Edmonton Alberta Canada. Ministry of Education Key Laboratory of Intelligent Computation and Signal Processing Anhui University Hefei China. Paige AI New York NY USA. Scientific Data Division and Biological Systems and Engineering Division Lawrence Berkeley National Lab Berkeley CA USA. Helen Wills Neuroscience Institute and Redwood Center for Theoretical Neuroscience UC Berkeley Berkeley CA USA. RIKEN AIP Tokyo Japan. Research Center for Advanced Science and Technology (RCAST) The University of Tokyo Tokyo Japan. School of Computer Science University of Sydney Sydney New South Wales Australia. Texas A&M University College Station TX USA. Cullen College of Engineering University of Houston Houston TX USA. Graduate Institute of Biomedical Engineering National Taiwan University of Science and Technology Taipei Taiwan. National Centre for Computer Animation Bournemouth University Poole UK. PROPHESEE Paris France. Department of Neuroscience Columbia University New York NY USA. Mortimer B. Zuckerman Mind Brain Behavior Institute Columbia University New York NY USA. Department of Computer Science Northern Illinois Universit
BigNeuron is an open community bench-testing platform with the goal of setting open standards for accurate and fast automatic neuron tracing. We gathered a diverse set of image volumes across several species that is r...
来源: 评论
Partial Caging: A Clearance-Based Definition and Deep Learning
Partial Caging: A Clearance-Based Definition and Deep Learni...
收藏 引用
2019 IEEE/RSJ International Conference on Intelligent Robots and systems (IROS)
作者: Anastasiia Varava Michael C. Welle Jeffrey Mahler Ken Goldberg Danica Kragic Florian T. Pokomy Division of Robotics Perception and Learning School of Electrical Engineering and Computer Science KTH Royal Institute of technology varavar AUTOLab Department of Electrical Engineenng and Computer Science University of California Berkeley
Caging grasps limit the mobility of an object to a bounded component of configuration space. We introduce a notion of partial cage quality based on maximal clearance of an escaping path. As this is a computationally d...
来源: 评论
Epigenetic factor competition reshapes the EMT landscape
arXiv
收藏 引用
arXiv 2022年
作者: Ali Al-Radhawi, M. Tripathi, Shubham Zhang, Yun Sontag, Eduardo D. Levine, Herbert Department of Electrical and Computer Engineering Northeastern University BostonMA02115 United States Center for Theoretical Biological Physics Northeastern University BostonMA02115 United States PhD Program in Systems Synthetic and Physical Biology Rice University HoustonTX77005 United States Whitehead Institute for Biomedical Research CambridgeMA02142 United States Department of Bioengineering Northeastern University BostonMA02115 United States Department of Physics Northeastern University BostonMA02115 United States Laboratory of Systems Pharmacology Harvard Medical School BostonMA02115 United States State Key Laboratory of Molecular Oncology National Cancer Center National Clinical Research Center for Cancer Cancer Hospital Chinese Academy of Medical Sciences Peking Union Medical College Beijing100021 China
The emergence of and transitions between distinct phenotypes in isogenic cells can be attributed to the intricate interplay of epigenetic marks, external signals, and gene regulatory elements. These elements include c... 详细信息
来源: 评论
Why is the Winner the Best?
Why is the Winner the Best?
收藏 引用
Conference on computer Vision and Pattern Recognition (CVPR)
作者: M. Eisenmann A. Reinke V. Weru M. D. Tizabi F. Isensee T. J. Adler S. Ali V. Andrearczyk M. Aubreville U. Baid S. Bakas N. Balu S. Bano J. Bernal S. Bodenstedt A. Casella V. Cheplygina M. Daum M. De Bruijne A. Depeursinge R. Dorent J. Egger D. G. Ellis S. Engelhardt M. Ganz N. Ghatwary G. Girard P. Godau A. Gupta L. Hansen K. Harada M. Heinrich N. Heller A. Hering A. Huaulmé P. Jannin A. E. Kavur O. Kodym M. Kozubek J. Li H. Li J. Ma C. Martín-Isla B. Menze A. Noble V. Oreiller N. Padoy S. Pati K. Payette T. Rädsch J. Rafael-Patiño V. Singh Bawa S. Speidel C. H. Sudre K. Van Wijnen M. Wagner D. Wei A. Yamlahi M. H. Yap C. Yuan M. Zenk A. Zia D. Zimmerer D. Aydogan B. Bhattarai L. Bloch R. Brüngel J. Cho C. Choi Q. Dou I. Ezhov C. M. Friedrich C. Fuller R. R. Gaire A. Galdran Á. García Faura M. Grammatikopoulou S. Hong M. Jahanifar I. Jang A. Kadkhodamohammadi I. Kang F. Kofler S. Kondo H. Kuijf M. Li M. Luu T. Martinčič P. Morais M. A. Naser B. Oliveira D. Owen S. Pang J. Park S. Park S. Płotka E. Puybareau N. Rajpoot K. Ryu N. Saeed A. Shephard P. Shi D. Štepec R. Subedi G. Tochon H. R. Torres H. Urien J. L. Vilaça K. A. Wahid H. Wang J. Wang L. Wang X. Wang B. Wiestler M. Wodzinski F. Xia J. Xie Z. Xiong S. Yang Y. Yang Z. Zhao K. Maier-Hein P. F. Jäger A. Kopp-Schneider L. Maier-Hein Division of Intelligent Medical Systems German Cancer Research Center (DKFZ) Heidelberg Germany Helmholtz Imaging German Cancer Research Center (DKFZ) Heidelberg Germany Faculty of Mathematics and Computer Science Heidelberg University Heidelberg Germany Division of Biostatistics German Cancer Research Center (DKFZ) Heidelberg Germany Division of Medical Image Computing German Cancer Research Center (DKFZ) Heidelberg Germany Faculty of Engineering and Physical Sciences School of Computing University of Leeds Leeds UK Institute of Informatics School of Management HES-SO Valais-Wallis University of Applied Sciences and Arts Western Switzerland Sierre Switzerland Department of Nuclear Medicine and Molecular Imaging Lausanne University Hospital Lausanne Switzerland Technische Hochschule Ingolstadt Ingolstadt Germany Center for Artificial Intelligence and Data Science for Integrated Diagnostics (AI2D) and Center for Biomedical Image Computing and Analytics (CBICA) University of Pennsylvania Philadelphia PA USA Department of Pathology and Laboratory Medicine Perelman School of Medicine University of Pennsylvania Philadelphia PA USA Department of Radiology Perelman School of Medicine University of Pennsylvania Philadelphia PA USA Department of Radiology University of Washington Seattle WA USA Department of Computer Science Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS) University College London London UK Universitat Autònoma de Barcelona & Computer Vision Center Barcelona Spain Division of Translational Surgical Oncology National Center for Tumor Diseases (NCT/UCC) Dresden Dresden Germany Department of Advanced Robotics Istituto Italiano di Tecnologia Italy Department of Electronics Information and Bioengineering Politecnico di Milano Milan Italy IT University of Copenhagen Copenhagen Denmark Department of General Visceral and Transplantation Surgery Heidelberg University Hospital Heidelberg Germany Department of Radiology and Nuc
International benchmarking competitions have become fundamental for the comparative performance assessment of image analysis methods. However, little attention has been given to investigating what can be learnt from t...
来源: 评论
Spin-phonon interaction in yttrium iron garnet
arXiv
收藏 引用
arXiv 2021年
作者: Olsson, Kevin S. Choe, Jeongheon Rodriguez-Vega, Martin Khalsa, Guru Benedek, Nicole A. Fang, Bin Zhou, Jianshi Fiete, Gregory A. Li, Xiaoqin Department of Physics Center of Complex Quantum Systems The University of Texas at Austin AustinTX78712 United States Center for Dynamics and Control of Materials The University of Texas at Austin AustinTX78712 United States Department of Physics Northeastern University BostonMA02115 United States Department of Materials Science and Engineering Cornell University IthacaNY14853 United States Department of Mechanical Engineering The University of Texas at Austin AustinTX78712 United States Texas Materials Institute The University of Texas at Austin AustinTX78712 United States Department of Physics Massachusetts Institute of Technology CambridgeMA02139 United States Department of Computer and Electrical Engineering University of Maryland College ParkMD20740 United States
Spin-phonon interaction is an important channel for spin and energy relaxation in magnetic insulators. Understanding this interaction is critical for developing magnetic insulator-based spintronic devices. Quantifying... 详细信息
来源: 评论
Secure Artificial Intelligence of Things for Implicit Group Recommendations
arXiv
收藏 引用
arXiv 2021年
作者: Yu, Keping Guo, Zhiwei Shen, Yu Wang, Wei Chun-Wei Lin, Jerry Sato, Takuro Global Information and Telecommunication Institute Waseda University Tokyo169-8555 Japan School of Artificial Intelligence Chongqing Technology Business University Chongqing400067 China National Research Base of Intelligent Manufacturing Service Chongqing Technology and Business University Chongqing400067 China School of Intelligent Systems Engineering Sun Yat-Sen University Shenzhen China The Department of Computer Science Electrical Engineering and Mathematical Sciences Western Norway University of Applied Sciences Bergen5063 Norway Research Institute for Science and Engineering Waseda University Tokyo169-8555 Japan
—The emergence of Artificial Intelligence of Things (AIoT) has provided novel insights for many social computing applications such as group recommender systems. As distance among people has been greatly shortened, it... 详细信息
来源: 评论
A Primal-Dual SGD Algorithm for Distributed Nonconvex Optimization
arXiv
收藏 引用
arXiv 2020年
作者: Yi, Xinlei Zhang, Shengjun Yang, Tao Chai, Tianyou Johansson, Karl H. The Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm100 44 Sweden The Department of Electrical Engineering University of North Texas DentonTX76203 United States The State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang110819 China
The distributed nonconvex optimization problem of minimizing a global cost function formed by a sum of n local cost functions by using local information exchange is considered. This problem is an important component o... 详细信息
来源: 评论
Boost AI power: Data augmentation strategies with unlabelled data and conformal prediction, a case in alternative herbal medicine discrimination with electronic nose
arXiv
收藏 引用
arXiv 2021年
作者: Liu, Li Zhan, Xianghao Wu, Rumeng Guan, Xiaoqing Wang, Zhan Zhang, Wei Pilanci, Mert Wang, You Luo, Zhiyuan Li, Guang The State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou310027 China Department of Bioengineering Stanford University StanfordCA94305 United States The Computer Learning Research Center Royal Holloway University of London Egham Hill Surrey EghamTW20 0EX United Kingdom Department of Electrical Engineering Stanford University StanfordCA94305 United States
Electronic nose has been proven effective in alternative herbal medicine classification, but due to the nature of supervised learning, previous research heavily relies on the labelled training data, which are time-cos... 详细信息
来源: 评论
Communication complexity of estimating correlations
arXiv
收藏 引用
arXiv 2019年
作者: Hadar, U. Liu, J. Polyanskiy, Y. Shayevitz, O. Department of Electrical Engineering-Systems Tel Aviv University Tel Aviv Israel Institute for Data Systems and Society Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA02139 United States
We characterize the communication complexity of the following distributed estimation problem. Alice and Bob observe infinitely many iid copies of ρ-correlated unit-variance (Gaussian or ±1 binary) random variabl... 详细信息
来源: 评论