- ijai@iaesjournal.com
- ISSN/e-ISSN 2089-4872/2252-8938
- Published in the bimonthly journal (Feb, Apr, Jun, Aug, Oct, and Dec)
- DOI: 10.11591/ijai
- Fully Open Access
More Info …
1-2 Week(s)
First Decision for Review.
8-12 Weeks
Estimated Review Process (Second Decision).
2-3 Weeks
Final Decision to Publication.
About
IAES International Journal of Artificial Intelligence (IJ-AI) publishes articles in the field of artificial intelligence (AI). The scope covers all artificial intelligence (AI) and machine learning (ML) areas and their applications in the following topics: neural networks; fuzzy logic; simulated biological evolution algorithms (like genetic algorithms, ant colony optimization, etc); reasoning and evolution; intelligence applications; computer vision and speech understanding; multimedia and cognitive informatics, data mining and machine learning tools, heuristic and AI planning strategies and tools, computational theories of learning; technology and computing (like particle swarm optimization); intelligent system architectures; knowledge representation; bioinformatics; natural language processing; multiagent systems; supervised learning; unsupervised learning; deep learning; big data and AI approaches; reinforcement learning; and learning with generative adversarial networks; etc.
Editorial
Prof. Dr. Eugene Yu-Dong Zhang
University of Leicester, United Kingdom
Prof. Dr. Cheng-Wu Chen
National Kaohsiung Marine University, Taiwan, Province of China
Prof. Dr. Tole Sutikno
Universitas Ahmad Dahlan, Indonesia
Prof. Dr. Kiran Sree Pokkuluri
Shri Vishnu Engineering College for Women, India
Joining the Editorial Team is an opportunity to be recognized as an expert in your field and to contribute to the peer review process of cutting-edge research. By acting as editor, you will have the opportunity to shape the future of research in your field and be part of a community of like-minded researchers.
Reviewer
Professor Nursuriati Jamil
Universiti Teknologi MARA, Malaysia
Dr. Haikel Alhichri
King Saud University, Saudi Arabia
Prof. Dr. Rodrigo Campos Bortoletto
Federal Institute of Education, Science and Technology of São Paulo, Brazil
Dr. Rajesh Kumar
Bharati Vidyapeeth College of Engineering, India
Peer review is a fundamental component of scholarly publishing and a process that ensures the validity and quality of scientific literature. It involves the evaluation of research work by experts (peers) in the relevant field, aiming to assess its rigor, coherence, and contribution to existing knowledge.