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检索条件"机构=The Key Laboratory of Intelligent Computing and Signal Processing of MOE"
1158 条 记 录,以下是721-730 订阅
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A novel HEFTS-L algorithm for scheduling large number of DAG tasks
A novel HEFTS-L algorithm for scheduling large number of DAG...
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2017 3rd Workshop on Advanced Research and Technology in Industry Applications(WARTIA 2017)
作者: Xin Liu Rongbin Xu Yongliang Cheng Pengfei Zhang Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education School of Computer Science and Technology Anhui University Co-Innovation Center for Information Supply & Assurance Technology Anhui University
In recent years, along with the development of technologies for distributed computing such as big data and clouds workflow systems, efficiency of workflow scheduling has become very impotent. Hence sc
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A new distance-regular graph of diameter 3 on 1024 vertices
arXiv
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arXiv 2018年
作者: Shi, Minjia Krotov, Denis S. Solé, Patrick Key Laboratory of Intelligent Computing Signal Processing Ministry of Education Anhui University No.3 Feixi Road Hefei Anhui230039 China School of Mathematical Sciences Anhui University Hefei Anhui230601 China Sobolev Institute of Mathematics pr. Akademika Koptyuga 4 Novosibirsk630090 Russia 4CNRS/LAGA University of Paris 8 2 rue de la Liberté Saint-Denis93 526 France
The dodecacode is a nonlinear additive quaternary code of length 12. By puncturing it at any of the twelve coordinates, we obtain a uniformly packed code of distance 5. In particular, this latter code is completely re... 详细信息
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Modeling of nonlinear electromagnetic response in metasurface
Modeling of nonlinear electromagnetic response in metasurfac...
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IEEE International Conference on Computational Electromagnetics (ICCEM)
作者: Ming Fang Zhixiang Huang Xianliang Wu Wei E. I. Sha Department of Electrical and Electronic Engineering The University of Hong Kong Hong Kong Key Laboratory of Intelligent Computing and Signal Processing Anhui University Hefei China University of Hong Kong Hong Kong HK
We develop a finite-difference time-domain (FDTD) solution of the hydrodynamic model that describes a free electron gas in metals. Extending beyond the local-linear response, the hydrodynamic model enables numerical i... 详细信息
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A simple and efficient fusion framework for surveillance images
Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu
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Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu 2016年 第6期 149-156页
作者: Chen, Lili Guo, Hongjun Laboratory of Intelligent Information Processing Suzhou University Suzhou China Key Laboratory of Intelligent Computing and Signal Processing of MOE Anhui University Hefei China
Purpose. Aiming at solving the fusion issue of surveillance images, a simple and efficient fusion framework using block compressed sensing sampling (BCSS) is proposed in this paper, which consists of two fusion method... 详细信息
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Graphene based functional devices: A short review
arXiv
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arXiv 2018年
作者: Wang, Rong Jiang, Lijun Ren, Xingang Yan, Ze Sha, Wei E.I. Shan, Guangcun Department of Electrical and Electronic Engineering University of Hong Kong Pokfulam Road Hong Kong Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei230039 China School of Instrumentation Science & Opto-electronics Engineering Beihang University Beijing100191 China Key Laboratory of Micro-nano Electronic Devices and Smart Systems of Zhejiang Province College of Information Science & Electronic Engineering Zhejiang University Hangzhou310027 China School of Instrumentation Science & Opto-electronics Engineering Beihang University Beijing100191 China California NanoSystem Institute Department of Chemistry & Biochemistry University of California Los AngelesCA90095 United States
Graphene is an ideal 2D material system bridging electronic and photonic devices. It also breaks the fundamental speed and size limits by electronics and photonics, respectively. Graphene offers multiple functions of ... 详细信息
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BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets
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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...
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Maxwell-hydrodynamic model for simulating nonlinear terahertz generation from plasmonic metasurfaces
arXiv
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arXiv 2017年
作者: Fang, Ming Huang, Zhixiang Sha, Wei E.I. Wu, Xianliang Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei230039 China College of Information Science and Electronic Engineering Zhejiang University Hangzhou310027 China Department of Electrical and Electronic Engineering University of Hong Kong
The interaction between electromagnetic field and plasmonic nanostructures leads to both strong linear and nonlinear behaviors. In this paper, a time-domain hydrodynamic model for describing the motion of electrons in... 详细信息
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Construction of One-Gray Weight Codes and Two-Gray Weight Codes over Z4+uZ4
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Journal of Systems Science & Complexity 2016年 第5期29卷 1472-1484页
作者: SHI Minjia WANG Dandan GAO Jian WU Bo Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei 230039 China National Mobile Communications Research Laboratory Southeast University Nanjing 210096China School of Mathematical Sciences Anhui University Hefei 230601 China. School of Science Shandong University of Technology Zibo 255091 China State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Bcijing 100093 China
This paper firstly gives some necessary conditions on one-Gray weight linear codes. And then we use these results to construct several classes of one-Gray weight linear codes over Z_4 +uZ_4(u^2=u) with type 16^(k_1)8^... 详细信息
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Downlink scheduling and coordinated transmission for CRE ues with ABS in ultra-dense networks
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International Journal of Simulation: Systems, Science and Technology 2016年 第4期17卷 16.1-16.6页
作者: Wang, Yi Hu, Yanjun Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei China
Ultra-dense network (UDN) is a promising way to address the high throughput demand in future radio access networks. However, the downlink inter-cell interference to user equipments (UEs) in dense small cell environmen... 详细信息
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Design the non-fragile H controller of a category of positive systems  31
Design the non-fragile H controller of a category of positiv...
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31st Youth Academic Annual Conference of Chinese Association of Automation, YAC 2016
作者: Ren, Chengcheng Wu, Shanshan He, Shuping School of Electrical Engineering and Automation Anhui University Hefei China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education School of Electrical Engineering and Automation Anhui University Hefei China
A non-fragile H controller design approach is studied in this paper for a class of system. The purpose is design a suitable non-fragile controller satisfied that the induced L∞ gain from disturbance signal to output ... 详细信息
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