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检索条件"机构=Program of Systems Engineering and Computer Science"
798 条 记 录,以下是41-50 订阅
排序:
Deep Semantic and Attentive Network for Unsupervised Video Summarization
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ACM Transactions on Multimedia Computing, Communications and Applications 2022年 第2期18卷 1-21页
作者: Zhong, Sheng-Hua Lin, Jingxu Lu, Jianglin Fares, Ahmed Ren, Tongwei College of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China Department of Electrical Engineering Computer Systems Engineering Program Faculty of Engineering at Shoubra Benha University Cairo Egypt State Key Laboratory for Novel Software Technology Nanjing University Nanjing210023 China
With the rapid growth of video data, video summarization is a promising approach to shorten a lengthy video into a compact version. Although supervised summarization approaches have achieved state-of-the-art performan... 详细信息
来源: 评论
Formalizing the situation of a business process activity
Formalizing the situation of a business process activity
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2012 IEEE 16th International Conference on computer Supported Cooperative Work in Design, CSCWD 2012
作者: Mattos, Talita Da Cunha Santoro, Flávia Maria Revoredo, Kate Nunes, Vanessa Tavares Postgraduate Information Systems Program UNIRIO Rio de Janeiro Brazil COPPE/PESC - Systems Engineering and Computer Science Program UFRJ Rio de Janeiro Brazil
Business processes are dynamic and constantly evolving. Contextual elements that had not yet been identified and represented can arise and influence the execution of each process instance in diverse manners. In this s... 详细信息
来源: 评论
Toward Parallelization Technique for Stream-based Lossless Data Compression
Toward Parallelization Technique for Stream-based Lossless D...
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2023 IEEE International Conference on Big Data, BigData 2023
作者: Kato, Taiki Yamagiwa, Shinichi Wada, Koichi Master's Program in Computer Science Degree Program in Systems and Information Engineering University of Tsukuba Ibalaki Tsukuba Japan University of Tsukuba Faculty of Engineering Information and Systems Ibalaki Tsukuba Japan
IoT edge platform has become popular in various distributed environments. The edge devices need to communicate BigData among them or with the cloud servers by collaborating with AI technologies for finding events from... 详细信息
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Performance Enhancement of Stream-Based Decompression Process by Notifying Compression Buffer Size  28
Performance Enhancement of Stream-Based Decompression Proces...
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28th IEEE Symposium on computers and Communications, ISCC 2023
作者: Kato, Taiki Yamagiwa, Shinichi Marumo, Koichi University of Tsukuba Master's Program in Computer Science Degree Program in Systems and Information Engineering Ibalaki Tsukuba Japan University of Tsukuba Faculty of Engineering Information and Systems Ibalaki Tsukuba Japan
This paper focuses on a performance enhancement of communication performance by compressing data stream. ASE coding is an effective lossless data compression method for data stream. The software implementation of the ... 详细信息
来源: 评论
Artificial intelligence for modelling infectious disease epidemics
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Nature 2025年 第8051期638卷 623-635页
作者: Kraemer, Moritz U. G. Tsui, Joseph L.-H. Chang, Serina Y. Lytras, Spyros Khurana, Mark P. Vanderslott, Samantha Bajaj, Sumali Scheidwasser, Neil Curran-Sebastian, Jacob Liam Semenova, Elizaveta Zhang, Mengyan Unwin, H. Juliette T. Watson, Oliver J. Mills, Cathal Dasgupta, Abhishek Ferretti, Luca Scarpino, Samuel V. Koua, Etien Morgan, Oliver Tegally, Houriiyah Paquet, Ulrich Moutsianas, Loukas Fraser, Christophe Ferguson, Neil M. Topol, Eric J. Duchêne, David A. Stadler, Tanja Kingori, Patricia Parker, Michael J. Dominici, Francesca Shadbolt, Nigel Suchard, Marc A. Ratmann, Oliver Flaxman, Seth Holmes, Edward C. Gomez-Rodriguez, Manuel Schölkopf, Bernhard Donnelly, Christl A. Pybus, Oliver G. Cauchemez, Simon Bhatt, Samir Pandemic Sciences Institute University of Oxford Oxford United Kingdom Department of Biology University of Oxford Oxford United Kingdom Department of Electrical Engineering and Computer Science University of California Berkeley Berkeley CA United States UCSF UC Berkeley Joint Program in Computational Precision Health Berkeley CA United States Division of Systems Virology Department of Microbiology and Immunology The Institute of Medical Science The University of Tokyo Tokyo Japan Section of Epidemiology Department of Public Health University of Copenhagen Copenhagen Denmark Oxford Vaccine Group University of Oxford and NIHR Oxford Biomedical Research Centre Oxford United Kingdom Department of Epidemiology and Biostatistics Imperial College London London United Kingdom Department of Computer Science University of Oxford Oxford United Kingdom School of Mathematics University of Bristol Bristol United Kingdom MRC Centre for Global Infectious Disease Analysis School of Public Health Imperial College London London United Kingdom Department of Statistics University of Oxford Oxford United Kingdom Doctoral Training Centre University of Oxford Oxford United Kingdom Institute for Experiential AI Northeastern University MA Boston Thailand Santa Fe Institute Santa Fe NM United States World Health Organization Regional Office for Africa Brazzaville Congo WHO Hub for Pandemic and Epidemic Intelligence Health Emergencies Programme World Health Organization Berlin Germany Centre for Epidemic Response and Innovation (CERI) School for Data Science and Computational Thinking Stellenbosch University Stellenbosch South Africa African Institute for Mathematical Sciences (AIMS) South Africa Muizenberg Cape Town South Africa Genomics England London United Kingdom Scripps Research La Jolla CA United States Department of Biosystems Science and Engineering ETH Zürich Basel Switzerland Swiss Institute of Bioinformatics Lausanne Switzerland The Ethox Centre Nuffield
Infectious disease threats to individual and public health are numerous, varied and frequently unexpected. Artificial intelligence (AI) and related technologies, which are already supporting human decision making in e...
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Optimal Placement of Software Monitors Aiding Systematic Testing
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IEEE Transactions on Software engineering 1975年 第4期SE-1卷 403-411页
作者: Ramamoorthy, C.V. Kim, K.H. Chen, W.T. Computer Science Division Department of Electrical Engineering and Computer Sciences University of California Berkeley Calif 94720 United States Department of Electrical Engineering Systems and Computer Science Program University of Southern California Los Angeles Calif. United States
The usefulness of software monitors in testing large ‘programs is discussed. Several types of testing strategies based on the use of monitors are surveyed. Since there is a computational overhead involved in employin... 详细信息
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On-line system identification using context discernment
On-line system identification using context discernment
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International Joint Conference on Neural Networks, IJCNN 2005
作者: Holmstrom, Lars Santiago, Roberto Lendaris, George G. NW Computational Intelligence Laboratory Portland State University Portland OR 97201 Systems Science Ph.D. Program Department of Systems Science and Electrical and Computer Engineering
Mathematical models are often used in system identification applications. The dynamics of most systems, however, change over time and the sources of these changes cannot always be directly determined or measured. To m... 详细信息
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Improving a web usability inspection technique using qualitative and quantitative data from an observational study
Improving a web usability inspection technique using qualita...
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SBES 2009 - 23rd Brazilian Symposium on Software engineering
作者: Conte, Tayana Vaz, Verônica Massolar, Jobson Mendes, Emilia Travassos, Guilherme Horta Manaus Brazil Systems Engineering and Computer Science Program COPPE UFRJ Rio de Janeiro Brazil Computer Science Department University of Auckland Auckland New Zealand
We have proposed a checklist-based usability inspection technique (WDP - Web Design Perspectives-Based Usability Evaluation) specific for Web applications' usability evaluation and we are following an experimentat... 详细信息
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RUL Estimation for Power Electronic Devices Using RNNs
RUL Estimation for Power Electronic Devices Using RNNs
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2024 Prognostics and System Health Management Conference, PHM 2024
作者: Cai, Congrui Lu, Zhonghai School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Embedded Systems Master Program Sweden School of Electrical Engineering and Computer Science Department of Electrical Engineering KTH Royal Institute of Technology Sweden
Recurrent Neural Networks (RNNs) are commonly used in data-driven approaches to estimate the Remaining Useful Lifetime (RUL) of power electronic devices. RNNs are preferred because their intrinsic feedback mechanisms ... 详细信息
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Propositional dynamic logic with storing, recovering and parallel composition
Propositional dynamic logic with storing, recovering and par...
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作者: Benevides, Mario R.F. De Freitas, Renata Petrucio, Viana Computer Science Department Systems and Computer Engineering Program Federal University of Rio de Janeiro Brazil Institute of Mathematics Fluminense Federal University Brazil
This work extends Propositional Dynamic Logic (PDL) with parallel composition operator and four atomic programs which formalize the storing and recovering of elements in data structures. A generalization of Kripke sem... 详细信息
来源: 评论