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International Journal of Advanced Computer Science and Applications (IJACSA)

Publisher :

The Science and Information (SAI) Organization

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Peer reviewed only
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Open Access
  • Computer Science
e-ISSN :

2156-5570

Issue Frequency :

Monthly

Impact Factor :

2.1

p-ISSN :

2158-107X

Est. Year :

2017

DOI :

YES

Country :

United Kingdom

Language:

English

APC :

YES

Email :

editorijacsa@thesai.org

Journal Descriptions

IJACSA is a scholarly computer science journal representing the best in research. Its mission is to provide an outlet for quality research to be publicized 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.


International Journal of Advanced Computer Science and Applications (IJACSA) is :

International, Peer-Reviewed, Open Access, Refereed, Computer Science , Online or Print, Monthly Journal

UGC Approved, ISSN Approved: P-ISSN - 2158-107X, E-ISSN - 2156-5570, Established in - 2017, Impact Factor - 2.1

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Indexed in Scopus, WoS

Not indexed in DOAJ, PubMed, UGC CARE

Indexing

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Publications of IJACSA

Research Article
  • dott image March, 2023

Modified Deep Neural Network for Object Recognition

Abstract: Object recognition has gained significance due to the rise in CCTV surveillance and the need for automated detection of objects or activities in images and videos. Lightweight proc...

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