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ThinkMind // INFOCOMP 2017, The Seventh International Conference on Advanced Communications and Computation
 Type: conference Download: INFOCOMP 2017 cover page Download: INFOCOMP 2017 foreword page Download: INFOCOMP 2017 committee page Download: INFOCOMP 2017 table of contents Download: INFOCOMP 2017 full proceedings Notes: IARIA Conference. Editors:
Claus-Peter Rückemann, Leibniz Universität Hannover / Westfälische Wilhelms-Universität Münster / North-German Supercomputing Alliance, Germany
Ian Flood, Rinker School, College of Design, Construction and Planning |
University of Florida, USA
Isabel Schwerdtfeger, IBM Deutschland GmbH – Hamburg, Germany
Christian Simmendinger, T-Systems SfR, Germany
George Beckett, EPCC, University of Edinburgh, UK
Event editions: - there are 13 editions. ISSN: 2308-3484 ISBN: 978-1-61208-567-8 Location: Venice, Italy Dates: from June 25, 2017 to June 29, 2017 Articles: there are 15 articles Data Visualization of Agent-Based Simulation of an Infectious Spread
Jingyi Gan and Dominique Thiebaut
keywords: data visualization; agent-based modeling; discrete event simulation; social network; contract graph; intervention strategies; contact-tracin; SIR model
Virtual Reality Assessment of Usability and Ergonomics in Hand Vein Biometric Systems
Septimiu Crisan, Bogdan Tebrean, and Simina Maria Emerich
keywords: vein patterns; biometric recognition; virtual reality; motion capture; inertial sensors
HPC Services and Big Data Challenges
Isabel Schwerdtfeger
keywords: HPC; HPCaaS; Data Center; Cloud; Hyperscale data center; Big Data; Exascale; energy efficiency
Comparative Analysis of Data Entities: Knowledge Mining Objects
Claus-Peter Rückemann
keywords: Knowledge Mining; Comparative Analysis; Content Factor; Universal Decimal Classification; Advanced Data-centric Computing.
Mathematical Aspects of Application of Neural Networks to Processes with Delays
Zlatinka Kovacheva and Valery Covachev
keywords: neuron; artificial neural network; processes with delay.
Challenges for Advanced Applications in Archaeology
Lutz Schubert, Keith Jeffery, and Gill Hunt
keywords: advanced applications; archaeology; high performance computing; physics; simulation; network analysis; social networks; agent systems; theoretical computer science
What Do Scientific Applications Need? An Empirical Study of Multirail Network Bandwidth
Edgar A. Leon, Chris Chambreau, and Matthew L. Leininger
keywords: HPC; performance measurement; multirail networking; network characterization; scientific applications.
A Parallel Nonzero CP Decomposition Algorithm for Higher Order Sparse Data Analysis
Oguz Kaya
keywords: parallel sparse tensor factorization; CP decomposition; higher order data analysis
Electrochemical Impedance Spectroscopy of Alkaline Methanol Oxidation
Tanja Clees, Igor Nikitin, Lialia Nikitina, Daniela Steffes-lai, Sabine Pott, Ulrike Krewer, and Theresa Windorfer
keywords: Modeling of complex systems; Non-linear optimization; Parameter identification; Applications; Electrochemistry.
Advanced Modeling of Gas Compressors for Globally Convergent Stationary Network Solvers
Tanja Clees, Igor Nikitin, and Lialia Nikitina
keywords: modeling of complex systems; globally convergent solvers; applications; gas transport networks.
Sensitivity of Linear Construction Project Performance to Correlation in Task Durations
Ricardo Eiris Pereira and Ian Flood
keywords: Linear Correlation; Project Planning; Repetitive Construction Work; Risk Management; Stochastic Linear Scheduling.
Extending the Portfolio and Strategic Planning Horizon by Stochastic Forecasting of Unknown Future Projects
Alireza Shojaei and Ian Flood
keywords: Project Portfolio Management; Stochastic Forecasting; Time Series Modeling; Strategic Planning; Uncertainty
Social Representation Networks
Julia Góth, Bálint File, and Zsolt Keczer
keywords: social representation; natural language processing; free word association
Machine Learning for Chemogenomics on HPC in the ExCAPE Project
Tom Vander Aa, Tom Ashby, Yves Vandriessche, Vojtech Cima, Stanislav Böhm, and Jan Martinovic
keywords: Machine Learning, High-Performance Computing, Collaborative Filtering, Distributed Task Scheduling
Using GPI-2 for Distributed Memory Paralleliziation of the Caffe Toolbox to Speed up Deep Neural Network Training
Martin Kuehn, Janis Keuper, and Franz-Josef Pfreundt
keywords: GPI-2; Caffe; DNN; SGD; GASPI.
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