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检索条件"机构=The Data Driven Computer Engineering Research Group"
506 条 记 录,以下是361-370 订阅
排序:
computer-SYSTEM ARCHITECTURE CONCEPTS FOR FUTURE COMBAT SYSTEMS
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NAVAL ENGINEERS JOURNAL 1990年 第3期102卷 43-62页
作者: ZITZMAN, LH FALATKO, SM PAPACH, JL Dr. Lewis H. Zitzman:is the group supervisor of the Advanced Systems Design Group Fleet Systems Department The Johns Hopkins University Applied Physics Laboratory (JHU/APL). He has been employed at JHU/APL since 1972 performing applied research in computer science and in investigating and applying advanced computer technologies to Navy shipboard systems. He is currently chairman of Aegis Computer Architecture Data Bus and Fiber Optics Working Group from which many concepts for this paper were generated. Dr. Zitzman received his B.S. degree in physics from Brigham Young University in 1963 and his M.S. and Ph.D. degrees in physics from the University of Illinois in 1967 and 1972 respectively. Stephen M. Falatko:was a senior engineering analyst in the Combat Systems Engineering Department Comptek Research Incorporated for the majority of this effort. He is currently employed at ManTech Services Corporation. During his eight-year career first at The Johns Hopkins University Applied Physics Laboratory and currently with ManTech Mr. Falatko's work has centered around the development of requirements and specifications for future Navy systems and the application of advanced technology to Navy command and control systems. He is a member of both the Computer Architecture Fiber Optics and Data Bus Working Group and the Aegis Fiber Optics Working Group. Mr. Falatko received his B.S. degree in aerospace engineering with high distinction from the University of Virginia in 1982 and his M.S. degree in applied physics from The Johns Hopkins University in 1985. Mr. Falatko is a member of Tau Beta Pi Sigma Gamma Tau the American Society of Naval Engineers and the U.S. Naval Institute. Janet L. Papach:is a section leader and senior engineering analyst in the Combat Systems Engineering Department Comptek Research Incorporated. She has ten years' experience as an analyst supporting NavSea Spa War and the U.S. Department of State. She currently participates in working group efforts under Aegis Combat System Doctrin
This paper sets forth computer systems architecture concepts for the combat system of the 2010–2030 timeframe that satisfy the needs of the next generation of surface combatants. It builds upon the current Aegis comp... 详细信息
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Recording provenance of workflow runs with RO-Crate
arXiv
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arXiv 2023年
作者: Leo, Simone Crusoe, Michael R. Rodríguez-Navas, Laura Sirvent, Raül Kanitz, Alexander De Geest, Paul Wittner, Rudolf Pireddu, Luca Garijo, Daniel Fernández, José M. Colonnelli, Iacopo Gallo, Matej Ohta, Tazro Suetake, Hirotaka Capella-Gutierrez, Salvador de Wit, Renske Kinoshita, Bruno P. Soiland-Reyes, Stian CA Pula Italy Vrije Universiteit Amsterdam Amsterdam Netherlands DTL Projects Netherlands Forschungszentrum Jülich Germany Barcelona Supercomputing Center Barcelona Spain Biozentrum University of Basel Basel Switzerland Swiss Institute of Bioinformatics Lausanne Switzerland VIB Data Core Gent Belgium Faculty of Informatics Masaryk University Brno Czech Republic Institute of Computer Science Masaryk University Brno Czech Republic BBMRI-ERIC Graz Austria Ontology Engineering Group Universidad Politécnica de Madrid Madrid Spain Computer Science Department Università degli Studi di Torino Torino Italy Database Center for Life Science Joint Support-Center for Data Science Research Research Organization of Information and Systems Shizuoka Japan Institute for Advanced Academic Research Chiba University Chiba Japan Sator Incorporated Tokyo Japan Department of Computer Science The University of Manchester Manchester United Kingdom Informatics Institute University of Amsterdam Amsterdam Netherlands
Recording the provenance of scientific computation results is key to the support of traceability, reproducibility and quality assessment of data products. Several data models have been explored to address this need, p... 详细信息
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PULASki: Learning inter-rater variability using statistical distances to improve probabilistic segmentation
arXiv
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arXiv 2023年
作者: Chatterjee, Soumick Gaidzik, Franziska Sciarra, Alessandro Mattern, Hendrik Janiga, Gábor Speck, Oliver Nürnberger, Andreas Pathiraja, Sahani Data and Knowledge Engineering Group Faculty of Computer Science Otto von Guericke University Magdeburg Germany Genomics Research Centre Human Technopole Milan Italy Laboratory of Fluid Dynamics and Technical Flows Otto von Guericke University Magdeburg Germany Department of Biomedical Magnetic Resonance Faculty of Natural Sciences Otto von Guericke University Magdeburg Germany Department of Neurology Medical Faculty University Hospital Magdeburg Germany German Centre for Neurodegenerative Disease Magdeburg Germany Centre for Behavioural Brain Sciences Magdeburg Germany School of Mathematics & Statistics UNSW Sydney UNSW Data Science Hub Australia
In the domain of medical imaging, many supervised learning based methods for segmentation face several challenges such as high variability in annotations from multiple experts, paucity of labelled data and class imbal... 详细信息
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Raman scattering investigation of a Ge/SiO2/Si nanocrystal system under hydrostatic pressure
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Physical Review B 2004年 第12期69卷 125333-125333页
作者: Lei Liu K. L. Teo Z. X. Shen J. S. Sun E. H. Ong A. V. Kolobov Y. Maeda Physics Department Blk. S12 Faculty of Science National University of Singapore 2 Science Drive 3 117542 Singapore Department of Electrical and Computer Engineering National University of Singapore 4 Engineering Drive 3 117576 Singapore Mechatronics & Micro System Group Data Storage Institute 117608 Singapore Center for Applied Near-Field Optics Research (CANFOR) National Institute of Advanced Industrial Science and Technology Tsukuba Central 4 1-1-1 Higashi Tsukuba Ibaraki 305-8562 Japan Department of Energy Science and Technology Kyoto University Sakyo-ku Kyoto 606-8501 Japan
We have studied the hydrostatic pressure dependence of Ge nanocrystals embedded in a SiO2 matrix on a Si substrate by Raman scattering at room temperature. During the first cycle of increasing pressure, we observed a ...
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2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG data Sets  35
2021 BEETL Competition: Advancing Transfer Learning for Subj...
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35th Conference on Neural Information Processing Systems - Competitions and Demonstrations, NeurIPS 2021
作者: Wei, Xiaoxi Aldo Faisal, A. Grosse-Wentrup, Moritz Gramfort, Alexandre Chevallier, Sylvain Jayaram, Vinay Jeunet, Camille Bakas, Stylianos Ludwig, Siegfried Barmpas, Konstantinos Bahri, Mehdi Panagakis, Yannis Laskaris, Nikolaos Adamos, Dimitrios A. Zafeiriou, Stefanos Duong, William C. Gordon, Stephen M. Lawhern, Vernon J. Śliwowski, Maciej Rouanne, Vincent Tempczyk, Piotr Brain and Behaviour Lab Imperial College London United Kingdom Institute of Artificial and Human Intelligence University of Bayreuth Germany Faculty of Computer Science CogSciHub Data Science@Univie University of Vienna Austria Universite Paris-Saclay Inria CEA Palaiseau France LISV UVSQ Université Paris-Saclay France Reality Labs United States University of Bordeaux France Cogitat Ltd. United Kingdom Intelligent Behaviour Understanding Group Imperial College London United Kingdom Aristotle University of Thessaloniki Greece National and Kapodistrian University of Athens Greece DCS Corporation AlexandriaVA United States Human Research and Engineering Directorate DEVCOM Army Research Laboratory Aberdeen Proving GroundMD United States Univ. Grenoble Alpes CEA LETI Clinatec GrenobleF-38000 France Université Paris-Saclay CEA List PalaiseauF-91120 France Warsaw Poland deeptale.ai Poland
Transfer learning and meta-learning offer some of the most promising avenues to unlock the scalability of healthcare and consumer technologies driven by biosignal data. This is because regular machine learning methods... 详细信息
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High-dimensional Gaussian graphical model selection: walk summability and local separation criterion
The Journal of Machine Learning Research
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The Journal of Machine Learning research 2012年 第1期13卷
作者: Animashree Anandkumar Vincent Y. F. Tan Furong Huang Alan S. Willsky Electrical Engineering and Computer Science University of California Irvine Irvine CA Data Mining Department Institute for Infocomm Research Singapore Electrical and Computer Engineering National University of Singapore Stochastic Systems Group Laboratory for Information and Decision Systems Massachusetts Institute of Technology Cambridge MA
We consider the problem of high-dimensional Gaussian graphical model selection. We identify a set of graphs for which an efficient estimation algorithm exists, and this algorithm is based on thresholding of empirical ... 详细信息
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The Importance of Gender Specification for Detection of Driver Fatigue using a Single EEG Channel
The Importance of Gender Specification for Detection of Driv...
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Biomedical engineering International Conference (BMEiCON)
作者: Mohammad Shahbakhti Matin Beiramvand Erfan Nasiri Wei Chen Jordi Solé-Casals Michal Wierzchon Anna Broniec-Wójcik Piotr Augustyniak Vaidotas Marozas Biomedical Engineering Institute Kaunas University of Technology Kaunas Lithuania Faculty of Information Technology and Communication Tampere University Tempere Finland Faculty of Statistics Mathematics and Computer Allameh Tabataba’i University Tehran Iran Center for Intelligent Medical Electronics School of Information Science and Technology the Human Phenome Institute Fudan University Shanghai China Data and Signal Processing Research Group University of Vic-Central University of Catalonia Vic Spain Institute of Psychology Jagiellonian University Krakow Poland Department of Biocybernetics and Biomedical Engineering AGH University of Science and Technology Krakow Poland
Although detection of the driver fatigue using a single electroencephalography (EEG) channel has been addressed in literature, the gender differentiation for applicability of the model has not been investigated hereto... 详细信息
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A Survey on Self-supervised Learning: Algorithms, Applications, and Future Trends
arXiv
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arXiv 2023年
作者: Gui, Jie Chen, Tuo Zhang, Jing Cao, Qiong Sun, Zhenan Luo, Hao Tao, Dacheng School of Cyber Science and Engineering Southeast University with Purple Mountain Laboratories Nanjing210000 China School of Cyber Science and Engineering Southeast University China School of Computer Science The University of Sydney CamperdownNSW2050 Australia College of Computing & Data Science Nanyang Technological University #32 Block N4 #02a-014 50 Nanyang Avenue Singapore639798 Singapore JD Explore Academy Center for Research on Intelligent Perception and Computing Chinese Academy of Sciences Beijing100190 China Alibaba Group Hangzhou310052 China
Deep supervised learning algorithms typically require a large volume of labeled data to achieve satisfactory performance. However, the process of collecting and labeling such data can be expensive and time-consuming. ... 详细信息
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Complex-valued neural networks to speed-up MR Thermometry during Hyperthermia using Fourier PD and PDUNet
arXiv
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arXiv 2023年
作者: Khatun, Rupali Chatterjee, Soumick Bert, Christoph Wadepohl, Martin Ott, Oliver J. Semrau, Sabine Fietkau, Rainer Nürnberger, Andreas Gaipl, Udo S. Frey, Benjamin Department of Radiation Oncology Universitätsklinikum Erlangen Friedrich-Alexnder-Universität Erlangen-Nürnberg Erlangen Germany Department of Radiation Oncology Universitätsklinikum Erlangen Friedrich-Alexnder-Universität Erlangen-Nürnberg Erlangen Germany Comprehensive Cancer Centre Erlangen-EMN Erlangen Germany Data and Knowledge Engineering Group Faculty of Computer Science Otto von Guericke University Magdeburg Germany Genomics Research Centre Human Technopole Milan Italy Dr Sennewald Medizintechnik GmbH Munich Germany
Hyperthermia (HT) in combination with radio- and/or chemotherapy has become an accepted cancer treatment for distinct solid tumour entities. In HT, tumour tissue is exogenously heated to temperatures between 39 and 43... 详细信息
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Understanding the predictability of path flow distribution in urban road networks using an information entropy approach
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Multimodal Transportation 2024年 第2期3卷
作者: Guo, Bao Huang, Zhiren Zheng, Zhihao Zhang, Fan Wang, Pu School of Traffic and Transportation Engineering Rail Data Research and Application Key Laboratory of Hunan Province Central South University Changsha China Shandong Provincial Communications Planning and Design Institute Group Co. Ltd Jinan China Department of Computer Science Aalto University Helsinki Finland Department of Civil Engineering McGill University Montreal H3A 0C3 QC Canada Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China
Predicting the distributions of path flow between origin-destination (OD) pairs in an urban road network is crucial for developing efficient traffic control and management strategies. Here, we use the large-scale taxi... 详细信息
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