iacs CAI

About the Journal

Computing and Algorithm Insight is a peer-reviewed academic journal that publishes research in the fields of artificial intelligence, soft computing, and computational intelligence. The journal provides a platform for researchers, academics, and practitioners to disseminate original studies related to intelligent algorithms, computational models, and intelligent systems.

The journal focuses on contributions that address theoretical foundations, algorithmic approaches, and practical implementations of intelligent computing. Published articles include original research papers, review articles, and case studies that are relevant to current developments in artificial intelligence and soft computing.

All submitted manuscripts undergo a double-blind peer review process to evaluate their relevance, originality, methodological soundness, and clarity of presentation. The journal follows established standards of publication ethics and responsible research practices.

Computing and Algorithm Insight is published on a semi-annual basis (twice a year), with issues released in June and December, and aims to support scholarly communication and the dissemination of research findings within the field of computational intelligence.

Current Issue

Vol. 4 No. 1 (2026): June Edition
					View Vol. 4 No. 1 (2026): June Edition

Computing and Algorithm Insight Volume 4 Number 1 2026 (June Edition) issue comprises 5 articles and features 15 authors from China.

Authors Country: China

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Published: 2026-06-30

Articles

View All Issues

Journal Overview

Journal Name
Computing and Algorithm Insight

Journal of Origin
Republic of Indonesia

eISSN
3032-1727

pISSN
N/A

Article Identifier
10.63208/21018 (DOI by Crossref)

Publisher
Integra Academic Press

Peer Review Policy
Double-Blind Peer Review

Publishing Model
Open Access

Copyright
CC-BY-SA

Publishing System
Open Journal System (OJS 3.4)

Frequency
Semi-annual (June & December)

Review Process
12-16 Weeks

Author Fee
500000 IDR

Contact
contact@iacs.co.id

Indexed and abstracted in:
Google Schoolar and Copernicus