International Journal of Computer Science and Artificial Intelligence    
International Journal of Computer Science and Artificial Intelligence(IJCSAI)
ISSN:2226-4450(Print)       ISSN:2226-4469(Online)
CODEN: IJCSPS                 Frequency: Quarterly
Editor-in-Chief: Prof.Bing-Fei Wu(Taiwan)
About the Journal-IJCSAI

The International Journal of Computer Science and Artificial Intelligence (IJCSAI) is an international, open-access, online quarterly journal published in English. The aim of IJCSAI is to publish original articles and review papers without delay in all fields of Computer Science and Artificial Technology.

The mission of this journal is to publish original contributions in its field, and then propagate knowledge amongst its readers, and to serve as a valuable reference. The audience includes researchers, managers and operators for intelligent engineering and systems as well as designers and developers.

All submitted papers should report original and unpublished experimental or theoretical research results, and they will be peer-reviewed. Papers submitted to the journal should meet those criteria and must not be under consideration for publishing elsewhere.

Journal news:
1, IJCSAI now is a member of CrossRef and has joined CrossCheck to fight against plagiarism. Ensure high ethical standards for all of the submitted papers.

2, IJCSAI to be indexed by EBSCO

International Journal of Computer Science and Artificial Intelligence has been selected for indexing by EBSCO, and papers of IJCSAI will be included in due course, normally within several months.

3, IJCSAI to be indexed by ProQuest

International Journal of Computer Science and Artificial Intelligence has been selected for indexing by ProQuest, and papers of IJCSAI will be included in due course, normally within several months.

Index:                                                                    
Current Issue
A Bizarre Virtual Trainer Outperforms a Human Trainer in Foreign Language Word Learning
Manuela Macedonia1
1.Department for Information Systems, University of Linz, Austria
Abstract | References Full Paper: PDF (Size:2409KB), pp.24-34, Pub. Date: 2014- 06-27
DOI:10.5963/IJCSAI0402001

Design Robust Networks against Overload-Based Cascading Failures
Hoang Anh Q. Tran1, Akira Namatame1
1.Dept. of Computer Science, National Defense Academy of Japan, Yokosuka, Kanagawa, Japan
Abstract | References Full Paper: PDF (Size:2560KB), pp.35-44, Pub. Date: 2014- 06-27
DOI:10.5963/IJCSAI0402002

Low Cost Helicopter Training Simulator: A Software Case Study from the Brazilian Military Police
Joice B. Mendes1, Alexandre C. B. Ramos1, Felix Mora-Camino2
1.Lab LMI, Federal University of Itajuba – UNIFEI, 1303, Av. BPS, 37500-903, MG, Brazil
2.Group Auto, French Civil Aviation University – ENAC, 7, Av. édouard-Belin CS54005, 31055, Toulouse, France
Abstract | References Full Paper: PDF (Size:778KB), pp.45-53, Pub. Date: 2014- 06-27
DOI:10.5963/IJCSAI0402003

Predicting Electricity Consumption Using Radial Basis Function (RBF) Network
O.L Usman1, O.B Alaba1
1.Department of Computer and Information Science, Tai Solarin University of Education, Ogun State, Nigeria
Abstract | References Full Paper: PDF (Size:3067KB), pp.54-62, Pub. Date: 2014- 06-27
DOI:10.5963/IJCSAI0402004