3-4 March 2022
IJACSA is a scholarly computer science journal representing the best in research. Its mission is to provide an outlet for quality research to be publicised and published to a global audience. The journal aims to publish papers selected through rigorous double-blind peer review to ensure originality, timeliness, relevance, and readability.
In sync with the Journal's vision "to be a respected publication that publishes peer reviewed research articles, as well as review and survey papers contributed by International community of Authors", we have drawn reviewers and editors from Institutions and Universities across the globe. A double blind peer review process is conducted to ensure that we retain high standards. At IJACSA, we stand strong because we know that global challenges make way for new innovations, new ways and new talent.
International Journal of Advanced Computer Science and Applications publishes research, review and survey papers which offer a significant contribution to the computer science literature, and which are of interest to a wide audience. Coverage extends to all main-stream branches of computer science and related applications.
Open Access Statement: This is an open access journal which means that all content is freely available without charge to the user or his/her institution. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, without asking prior permission from the publisher or the author. All past issues are available in the Archives.
** Indexing: The papers of this journal are submitted to Web of Science, Scopus, Inspec, Semantic Scholar, EBSCOhost, Microsoft Academic Search and Index Copernicus. The journal is Scientific level 1 in the Norwegian Register and included in the Federation of Finnish Learned Societies/Publication Forum. **
Affiliation : Saga University, Japan.
Domains of Research : Computer Science, Human-Computer Interaction, Networking, Information Retrievals, Optimization Theory, Modeling and Simulation, Satellite Remote Sensing, Computer Vision, Decision Making Methodology