Academy & Industry Research Collaboration Center (AIRCC)

Volume 9, Number 11, August 2019

5th International Conference on Computer Science, Information Technology (CSITEC 2019), August 24-25, 2019, Vienna, Austria
Volume Editors : Natarajan Meghanathan, Dhinaharan Nagamalai
ISBN: 978-1-925953-07-7

Comparative Study Between Decision Trees and Neural Networks to Predictfatal
Road Accidents in Lebanon
 
Zeinab Farhat1, Ali Karouni2, Bassam Daya2 And Pierre Chauvet3, 1Edst, Lebanese University, Lebanon, Beirut, 2University Institute Of Technology, Lebanese University, Lebanon, Sidon and 3Laris Ea, Angers University France, France, Angers

Matbase – A Tool for Transparent Programming While Modelling Data at Conceptual Levels 
Christian Mancas, Ovidius University, Romania

Multi-Variable Linear Regression-Based Prediction of A Computationally-Heavy Link
Stability Metric for Mobile Sensor Networks
 
Natarajan Meghanathan, Jackson State University, USA

Inspection of Methods of Empirical Mode Decomposition  
Roberto Hernández Santander and Esperanza Camargo Casallas, Universidad Distrital Francisco José de Caldas, Colombia

Rate Distortion Study for Time Varying Autoregressive Gaussian Process 
Jia-Chyi Wu, National Taiwan Ocean University, Taiwan

The Feasibility of Using Behavioural Profiling Technique for Mitigating Insider Threats: Review 
Gaseb Alotibi1, Nathan Clarke2, Fudong Li2 and Steven Furnell2,3, 1Plymouth
University, United Kingdom, 2Edith Cowan University, Western Australia and 3Nelson Mandela
Metropolitan University, South Africa


Cyber Security Insights into Self-Proclaimed Virtual World Hackers 
Nicholas Patterson, Michael Hobbs, Frank Jiang and Lei Pan, Deakin University, Australia

Information –Symmetry and Feynman-Diagrams Applied to Computing Models 
Carlos J. Martinez1, Ana Gonzalez2, Ewa Nieminsky1, 1Hispatel Ing., Spain and
2UPM University, Spain


Mitigate Content Poisoning Attack in NDN by Namespace Authorization 
Pengfei Yue and Bin Pang, Inner Mongolia University, China

An Augmented Intelligence Model to Extract Pragmatic Markers  
Vijay Perincherry1, David White2 and Staci Warden3, 1Indiggo Associates, USA, 2Oteemo Inc, USA and 3Milken Institute, USA