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The Seventh International Conference on Advanced Communications and Computation INFOCOMP 2017 |
| Awards |
The papers listed below have been selected as "Best Papers" based on the reviews of the original submission, the camera-ready version, and the presentation during the conference. For the awarded papers, a digital award will be issued in the name of the authors. The authors of these papers are also receiving invitations to submit an extended article version to one of the IARIA Journals.
Awarded Papers
Virtual Reality Assessment of Usability and Ergonomics in Hand Vein Biometric Systems
Septimiu Crisan, Bogdan Tebrean, Simina Maria Emerich
Comparative Analysis of Data Entities: Knowledge Mining Objects
Claus-Peter Rückemann
Challenges for Advanced Applications in Archaeology
Lutz Schubert, Keith Jeffery, Gill Hunt
What Do Scientific Applications Need? An Empirical Study of Multirail Network Bandwidth
Edgar A. Leon, Chris Chambreau, Matthew L. Leininger
Advanced Modeling of Gas Compressors for Globally Convergent Stationary Network Solvers
Tanja Clees, Igor Nikitin, Lialia Nikitina
Extending the Portfolio and Strategic Planning Horizon by Stochastic Forecasting of Unknown Future Projects
Alireza Shojaei, Ian Flood
The following papers have been selected on the basis of their contents, specificaly for lending themselves to an interesting extended work. The authors of these papers are receiving invitations to submit an extended article version to one of the IARIA Journals.
Papers Invited for IARIA Journals
Data Visualization of Agent-Based Simulation of an Infectious Spread
Jingyi Gan, Dominique Thiebaut
Mathematical Aspects of Application of Neural Networks to Processes with Delays
Zlatinka Kovacheva, Valery Covachev
A Parallel Nonzero CP Decomposition Algorithm for Higher Order Sparse Data Analysis
Oguz Kaya
Social Representation Networks
Julia Góth, Bálint File, Zsolt Keczer
Machine Learning for Chemogenomics on HPC in the ExCAPE Project
Tom Vander Aa, Tom Ashby, Yves Vandriessche, Vojtech Cima, Stanislav Böhm, Jan Martinovic
Using GPI-2 for Distributed Memory Paralleliziation of the Caffe Toolbox to Speed up Deep Neural Network Training
Martin Kuehn, Janis Keuper, Franz-Josef Pfreundt
