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Liu, Yan
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Intelligent systems for geosciences: an essential research agenda
Gil Y., Pierce S., Babaie H., Banerjee A., Borne K., Bust G., Cheatham M., Ebert-Uphoff I., Gomes C., Hill M., Horel J., Hsu L., Kinter J., Knoblock C., Krum D., Kumar V., Lermusiaux P., Liu Y., North C., Pankratius V., Peters S., Plale B., Pope A., Ravela S., Restrepo J., Ridley A., Samet H., Shekhar S. Communications of the ACM 62(1): 76-84, 2019. Type: Article
This article, by 28 authors from as many institutions, announces the creation of, and research agenda for, a new National Science Foundation (NSF)-funded Research Coordination Network on Intelligent Systems for Geosciences. The goal of...
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Mar 28 2019
A survey of RST invariant image watermarking algorithms
Zheng D., Liu Y., Zhao J., Saddik A. ACM Computing Surveys 39(2): 5-es, 2007. Type: Article
Existing digital watermarking techniques are systematically reviewed in this paper, with a special focus on rotation, scaling, and translation (RST) invariant image watermarking algorithms. The RST invariant-based approach has recently...
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Dec 28 2007
Performance prediction of component-based applications
Chen S., Liu Y., Gorton I., Liu A. Journal of Systems and Software 74(1): 35-43, 2005. Type: Article, Reviews: (1 of 2)
A model to help estimate the performance of component-based applications is proposed. The authors start by describing the difficulty of evaluating the performance of large-scale enterprise distributed systems using component-based (bla...
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Mar 30 2005
Performance prediction of component-based applications
Chen S., Liu Y., Gorton I., Liu A. Journal of Systems and Software 74(1): 35-43, 2005. Type: Article, Reviews: (2 of 2)
Performance prediction for enterprise-scale distributed systems is a challenging task. Most of these modern systems are based on component-based technologies. This makes the problem even more difficult, since each component technology ...
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Mar 30 2005
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