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The International Conference on Software Maintenance and Evolution (ICSME) is the premier international forum for researchers and practitioners from academia, industry, and government to present, discuss, and debate the most recent ideas, experiences, and challenges in software maintenance and evolu...
Cleveland, USA
29-04
Sep
We solicit original, unpublished research papers on computing technologies and visual languages for modeling, programming, communicating, and reasoning, which are easier to learn, use or understand by humans than the current state-of-the-art. Papers should focus on efforts to design, formalize, impl...
Memphis, USA
14-18
Oct
We solicit high-quality original research papers (and significant work-in-progress papers) in any aspect of Big Data with emphasis on 5Vs (Volume, Velocity, Variety, Value and Veracity), including the Big Data challenges in scientific and engineering, social, sensor/IoT/IoE, and multimedia (audio, v...
Los Angeles, USA
09-12
Dec
Trending from the Computer Society Digital Library
IEEE Security & Privacy
Gertjan Franken
Computer Science, KU Leuven, Belgium
Online abuses give browser users an incentive to employ third-party cookie policies. These policies, built directly into the browser or provided through extensions, are intended to enhance the user's security and privacy. Unfortunately, virtually every policy can be bypassed.
2018 IEEE Fourth VR International Workshop on Collaborative Virtual Environments (3DCVE)
Alexandre Kabil
IMT Atlantique Lab-STICC, UMR CNRS 6285
Cyber Security data analysis is an important growing domain: more and more data visualization systems are offered to operators in order to improve their threat detection performances or facilitate suspect behaviors characterization. As today Cyber Security trend is to regroup employees in structures...
IEEE Computer Architecture Letters
Yehia Arafa
Klipsch School of Electrical and Computer Engineering, New Mexico State University, 4423 Las Cruces, New Mexico United States (e-mail: yarafa@nmsu.edu)
Performance modeling is a challenging problem due to the complexities of hardware architectures. In this paper, we present PPT-GPU, a scalable and accurate simulation framework that enables GPU code developers and architects to predict the performance of applications in a fast, and accurate manner o...