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检索条件"机构=Center for Data Science and Intelligent Computing"
393 条 记 录,以下是111-120 订阅
排序:
SOCA-DOM:A Mobile System-on-Chip Array System for Analyzing Big data on the Move
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Journal of Computer science & Technology 2022年 第6期37卷 1271-1289页
作者: Le-Le Li Jiang-Yi Liu Jian-Ping Fan Xue-Hai Qian Kai Hwang Yeh-Ching Chung Zhi-Bin Yu Center for Heterogeneous and Intelligent Computing Shenzhen Institutes of Advanced Technology Chinese Academy of SciencesShenzhen 518055China School of Science and Engineering The Chinese University of Hong KongShenzhenShenzhen 518172China Center for High Performance Computing Shenzhen Institutes of Advanced TechnologyChinese Academy of Sciences Shenzhen 518055China Ming Hsieh Department of Electrical and Computer Engineering University of Southern CaliforniaLos Angeles CA 90089-0001U.S.A. Department of Computer Science University of Southern CaliforniaLos AngelesCA 90089-0001U.S.A. School of Data and Science The Chinese University of Hong KongShenzhenShenzhen 518172China
Recently,analyzing big data on the move is *** requires that the hardware resource should be low volume,low power,light in weight,high-performance,and highly scalable whereas the management software should be flexible... 详细信息
来源: 评论
Tensor Graph Convolutional Network for Dynamic Graph Representation Learning  7
Tensor Graph Convolutional Network for Dynamic Graph Represe...
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7th International Symposium on Autonomous Systems, ISAS 2024
作者: Wang, Ling Yuan, Ye The School of Computer Science and Technology Chongqing University of Posts and Telecommunications Chongqing400065 China The Chongqing Key Laboratory of Big Data and Intelligent Computing Chongqing Engineering Research Center of Big Data Application For Smart Cities Chongqing Institute of Green and Intelligent Technology Chinese Academy of Sciences Chongqing400714 China College of Computer and Information Science Southwest University Chongqing400715 China
Dynamic graphs (DG) represent evolving interactions between entities in various real-world scenarios. Many existing DG representation learning models employ a combination of graph convolutional networks and sequence n... 详细信息
来源: 评论
Remote sensing of cyanobacterial blooms in inland waters: present knowledge and future challenges
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science Bulletin 2019年 第20期64卷 1540-1556页
作者: Kun Shi Yunlin Zhang Boqiang Qin Botian Zhou Taihu Laboratory for Lake Ecosystem Research State Key Laboratory of Lake Science and EnvironmentNanjing Institute of Geography and LimnologyChinese Academy ofSciencesNanjing210008China University of Chinese Academy of Sciences Beijing100049China Center for Excellence in Tibetan Plateau Earth Sciences Chinese Academy of SciencesBeijing100101China Chongqing Key Laboratory of Big Data and Intelligent Computing Chongqing Institute of Green and Intelligent TechnologyChinese Academy of SciencesChongqing400714China
Timely monitoring, detection and quantification of cyanobacterial blooms are especially important for controlling public health risks and understanding aquatic ecosystem dynamics. Due to the advantages of simultaneous... 详细信息
来源: 评论
Artificial intelligence for advanced functional materials: exploring current and future directions
JPhys Materials
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JPhys Materials 2025年 第2期8卷
作者: Malica, Cristiano Novoselov, Kostya S Barnard, Amanda S Kalinin, Sergei V Spurgeon, Steven R Reuter, Karsten Alducin, Maite Deringer, Volker L Csányi, Gábor Marzari, Nicola Huang, Shirong Cuniberti, Gianaurelio Deng, Qiushi Ordejón, Pablo Cole, Ivan Choudhary, Kamal Hippalgaonkar, Kedar Zhu, Ruiming von Lilienfeld, O Anatole Hibat-Allah, Mohamed Carrasquilla, Juan Cisotto, Giulia Zancanaro, Alberto Wenzel, Wolfgang Ferrari, Andrea C Ustyuzhanin, Andrey Roche, Stephan Bremen Center for Computational Materials Science MAPEX Center for Materials and Processes University of Bremen BremenD-28359 Germany Institute for Functional Intelligent Materials National University of Singapore Singapore117544 Singapore Department of Materials Science and Engineering National University of Singapore Singapore117575 Singapore School of Computing Australian National University Acton Australia Department of Materials Science and Engineering University of Tennessee KnoxvilleTN United States Pacific Northwest National Laboratory RichlandWA United States National Renewable Energy Laboratory GoldenCO United States University of Colorado BoulderCO United States Fritz-Haber-Institut der Max-Planck-Gesellschaft Berlin Germany Donostia-San Sebastián Spain Donostia International Physics Center Donostia-San Sebastián Spain Inorganic Chemistry Laboratory Department of Chemistry University of Oxford Oxford United Kingdom Engineering Laboratory University of Cambridge Cambridge United Kingdom Lausanne Switzerland Institute for Materials Science Max Bergmann Center for Biomaterials TUD Dresden University of Technology Dresden Germany School of Engineering RMIT University Melbourne Australia Campus UAB Bellaterra Spain School of Engineering Australia National University Acton Australia Materials Science and Engineering Division National Institute of Standards and Technology GaithersburgMD United States School of Materials Science and Engineering Nanyang Technological University Singapore639798 Singapore Singapore138634 Singapore Departments of Chemistry Materials Science & Engineering Physics and the Acceleration Consortium University of Toronto Canada Vector Institute TorontoON Canada ML Group Technische Universität Berlin Institute for the Foundations of Learning and Data Berlin Germany Department of Applied Mathematics University of Waterloo WaterlooON Canada Institute for Theoretical Physics ETH Zürich Switzerland Depar
This perspective addresses the topic of harnessing the tools of artificial intelligence (AI) for boosting innovation in functional materials design and engineering as well as discovering new materials for targeted app... 详细信息
来源: 评论
A Distributed Framework for Large-scale Protein-protein Interaction data Analysis and Prediction Using MapReduce
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IEEE/CAA Journal of Automatica Sinica 2022年 第1期9卷 160-172页
作者: Lun Hu Shicheng Yang Xin Luo Huaqiang Yuan Khaled Sedraoui MengChu Zhou School of Computer Science and Technology Dongguan University of TechnologyDongguan 523808China School of Computer Science and Technology Wuhan University of TechnologyWuhan 430070China Chongqing Engineering Research Center of Big Data Application for Smart Cities and Chongqing Key Laboratory of Big Data and Intelligent ComputingChongqing Institute of Green and Intelligent TechnologyChinese Academy of SciencesChongqing 400714China Xinjiang Technical Institute of Physics and Chemistry Chinese Academy of SciencesUrumqi 830000China Center of Research Excellence in Renewable Energy and Power Systems and the Department of Electrical and Computer EngineeringFaculty of EngineeringKing Abdulaziz UniversityJeddah 21589Saudi Arabia Department of Electrical and Computer Engineering New Jersey Institute of TechnologyNewarkNJ 07102 USA
Protein-protein interactions are of great significance for human to understand the functional mechanisms of *** the rapid development of high-throughput genomic technologies,massive protein-protein interaction(PPI)dat... 详细信息
来源: 评论
Optimizing Scene Classification: A Robust Approach with Transfer Learning and Automated Machine Learning Integration
Journal of Engineering Research
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Journal of Engineering Research 2025年
作者: Mohamed Hammad Samia A. Chelloug Samah AlShathri Ahmed A. Abd El-Latif Department of Information Technology Faculty of Computers and Information Menoufia University Shibin El Kom 32511 Egypt EIAS Data Science Lab College of Computer and Information Sciences and Center of Excellence in Quantum and Intelligent Computing Prince Sultan University Riyadh 11586 Saudi Arabia Department of Information Technology College of Computer and Information Sciences Princess Nourah bint Abdulrahman University P.O. Box 84428 Riyadh 11671 Saudi Arabia Department of Mathematics and Computer Science Faculty of Science Menoufia University Shebin El-Koom 32511 Egypt
Scene classification is a fundamental challenge in computer vision. Recognizing the complexity of this task is the aim of our study that addresses the need for accurate and robust scene classification by leveraging th... 详细信息
来源: 评论
Efficient CNN-based disaster events classification using UAV-aided images for emergency response application
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Neural computing and Applications 2024年 第18期36卷 10599-10612页
作者: Bashir, Munzir Hubiba Ahmad, Musheer Rizvi, Danish Raza El-Latif, Ahmed A. Abd Department of Computer Engineering Jamia Millia Islamia New Delhi110025 India EIAS Data Science Lab College of Computer and Information Sciences Prince Sultan University Riyadh11586 Saudi Arabia Center of Excellence in Quantum and Intelligent Computing Prince Sultan University Riyadh11586 Saudi Arabia Department of Mathematics and Computer Science Faculty of Science Menoufia University Shebin El-Kom32511 Egypt
Natural disasters can be unpredictable and catastrophic. Even after the event, the repercussions are prolonged due to the incompetence of disaster management strategies. To mitigate the effects of a natural hazard, di... 详细信息
来源: 评论
Identification of Key Genes as Potential Drug Targets for Gastric Cancer
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Tsinghua science and Technology 2023年 第4期28卷 649-664页
作者: Md.Tofazzal Hossain Md.Selim Reza Yin Peng Shengzhong Feng Yanjie Wei Center for High Performance Computing Joint Engineering Research Center for Health Big Data Intelligent Analysis TechnologyShenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China School of Computer Science and Technology University of Chinese Academy of SciencesBeijing 100049China Department of Statistics Bangabandhu Sheikh Mujibur Rahman Science and Technology UniversityGopalganj 8100Bangladesh Guangdong Provincial Key Laboratory for Genome Stability and Disease Prevention and Regional Immunity and Diseases Department of PathologyShenzhen UniversityShenzhen 518060China
Gastric cancer(GC)is one of the most common cancers and ranks the third in cancer mortality all over the *** goal of this study was to identify potential hub-genes,highlighting their functions,signaling pathways,and c... 详细信息
来源: 评论
Approximation and competitive algorithms for single-minded selling problem  1
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12th International Conference on Algorithmic Aspects in Information and Management, AAIM 2018
作者: Chin, Francis Y. L. Poon, Sheung-Hung Ting, Hing-Fung Xu, Dachuan Yu, Dongxiao Zhang, Yong Department of Computer Science The University of Hong Kong Pok Fu Lam Hong Kong School of Computer Science University of Nottingham Ningbo China Ningbo China Beijing Institute for Scientific and Engineering Computing Beijing University of Technology Beijing China Institute of Intelligent Computing School of Computer Science and Technology Shandong University Qingdao266237 China Research Center for High Performance Computing Joint Engineering Research Center for Health Big Data Intelligent Analysis Technology Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China
The problem of item selling with the objective of maximizing the revenue is studied. Given a seller with k types of items and n single-minded buyers, i.e., each buyer is only interested in a particular bundle of items... 详细信息
来源: 评论
A Fine-Grained Anomaly Detection Method Fusing Isolation Forest and Knowledge Graph Reasoning  19th
A Fine-Grained Anomaly Detection Method Fusing Isolation For...
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19th International Conference on Web Information Systems and Applications, WISA 2022
作者: Xu, Jie Zhou, Jiantao College of Computer Science Engineering Research Center of Ecological Big Data Ministry of Education National and Local Joint Engineering Research Center of Mongolian Intelligent Information Processing Technology Inner Mongolia Cloud Computing and Service Software Engineering Laboratory Inner Mongolia Social Computing and Data Processing Key Laboratory Inner Mongolia Discipline Inspection and Supervision Big Data Key Laboratory Inner Mongolia Big Data Analysis Technology Engineering Laboratory Inner Mongolia University Hohhot China
Anomaly detection aims to find outliers data that do not conform to expected behaviors in a specific scenario, which is indispensable and critical in current safety environments related studies. However, when performi... 详细信息
来源: 评论