INFOCOMP 2019 - The Ninth International Conference on Advanced Communications and Computation
July 28, 2019 - August 02, 2019
INFOCOMP 2019: 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
Privacy by Design Approach for eHealthcare System Architecture
Malgorzata Pankowska
Spatial Visibility Trajectory Planning Using Inverse Reinforcement Learning
Oren Gal, Yerach Doytsher
Topological Reduction of Gas Transport Networks
Anton Baldin, Tanja Clees, Barbara Fuchs, Bernhard Klaassen, Igor Nikitin, Lialia Nikitina, Inna Torgovitskaia
A Knowledge-centric Computation Architecture and the Case of Knowledge Mining
Claus-Peter Rückemann
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
A DRM Solution for Online Content Using Blockchain - A Music Perspective
Ahmed Gomaa
Model Reduction in the Design of Alkaline Methanol Fuel Cells
Tanja Clees, Bernhard Klaassen, Igor Nikitin, Lialia Nikitina, Sabine Pott, Ulrike Krewer, Theresa Haisch
Periodic Solution of a Discretized Age-Dependent Model with a Dominant Age Class
Zlatinka Kovacheva, Valery Covachev
Derivation of Some Analytical Expressions in a Model of Overall Telecommunication System with Queue
Velin Andonov, Stoyan Poryazov, Emiliya Saranova
Automatic Generation of Adjoint Operators for the Lattice Boltzmann Method
Stephan Seitz, Martin Bauer, Negar Mirshahzadeh, Andreas Maier, Harald Köstler
Non-Linear Mathematical Models based on Analytical Multiplicative-Additive Transformations Approximating Experimental Data
Rudolf A. Neydorf, Anna R. Neydorf, Dean Vučinić, Anatoly R. Gaiduk, Nikita V. Kudinov