Journal Title International Journal of Advances in Artificial Intelligence and Machine Learning
Initial  IJAAIML
Abbreviation Int. J. Adv. Artif. Intell. Mach. Learn.
ISSN 3089-185X (Online)
DOI Prefix 10.58723 by Crossref
Publisher CV Media Inti Teknologi
insitution and Assosiation S1 Teknologi Pendidikan UNESA, USM, APMI
Editor in Chief Prof. Khang Wen Goh (Scopus ID: 57210704305)
Journal Rank Progress
Frequency 3 issues per year: March, July, November
Focus & Scope

  1. Artificial Intelligence
  2. Machine Learning

Citation Analysis [Google Scholar]  [Dimension]
Indexing [GARUDA] [CROSSREFF]



The International Journal of Advances in Artificial Intelligence and Machine Learning (IJAAIML) is a prominent academic journal dedicated to publishing cutting-edge research and developments in the fields of Artificial Intelligence (AI) and Machine Learning (ML). It serves as an essential platform for researchers, practitioners, and professionals worldwide to share innovative ideas, technologies, and empirical studies that contribute to advancing AI and ML. The journal emphasizes both theoretical advancements and practical applications, showcasing how these technologies are shaping various industries, including healthcare, finance, education, robotics, and autonomous systems.

IJAAIML covers a wide range of topics within AI and ML, such as deep learning, neural networks, natural language processing (NLP), computer vision, robotics, data mining, reinforcement learning, and AI ethics. The journal is open to diverse types of scholarly contributions, including original research articles, review papers, case studies, technical notes, and surveys. It encourages submissions that introduce novel algorithms, methodologies, and systems, as well as those addressing challenges and proposing new approaches in AI and ML. This broad scope allows the journal to remain at the forefront of technological innovation, providing valuable insights into the latest trends and developments in the field.

The journal maintains high academic standards through a rigorous peer-review process, ensuring that each published article is of exceptional quality and originality. Submissions are evaluated by experts in relevant fields based on their significance, innovation, methodology, and clarity. This commitment to quality makes IJAAIML a trusted source of information for a diverse audience, including academic researchers, industry professionals, AI practitioners, and students who seek to stay informed about the latest advances in AI and ML.

IJAAIML is committed to global knowledge dissemination, making its publications accessible to researchers and professionals worldwide through its online platform. This approach fosters knowledge exchange and collaboration across borders, enabling the journal to reach a broad international audience. By highlighting state-of-the-art research that addresses real-world problems using AI and ML technologies, IJAAIML plays a significant role in advancing the understanding and application of these technologies.

Additionally, the journal explores the ethical, societal, and economic impacts of AI and ML, promoting discussions on responsible AI practices and future directions. By contributing to these conversations, IJAAIML not only advances technological innovation but also encourages the development of AI and ML in a manner that considers broader implications for society. Overall, the International Journal of Advances in Artificial Intelligence and Machine Learning stands as a crucial resource for anyone involved in AI and ML, driving forward the frontiers of these dynamic fields through high-quality, peer-reviewed research.

Abstracted/Indexed by:

 

          

 

The International Journal of Advances in Artificial Intelligence and Machine Learning (IJAAIML) is a prominent academic journal dedicated to publishing cutting-edge research and developments in the fields of Artificial Intelligence (AI) and Machine Learning (ML). It serves as an essential platform for researchers, practitioners, and professionals worldwide to share innovative ideas, technologies, and empirical studies that contribute to advancing AI and ML. The journal emphasizes both theoretical advancements and practical applications, showcasing how these technologies are shaping various industries, including healthcare, finance, education, robotics, and autonomous systems.

Vol. 3 No. 1 (2026): International Journal of Advances in Artificial Intelligence and Machine Learning

This issue has been available online since March 2026 for the regular issue of  March 2026. All articles in this issue (6 original research articles) were authored/co-authored by 21 authors from 17 Institutions and 13 different countries (Australia, Canada, China, Denmark, Indonesia, India, Malaysia, Nigeria, Saudi Arabia, Sudan, Türkiye, Taiwan, and Vietnam). There are:

Deakin Business School, Melbourne, Australia 
Laurentia University, Canada 
Hong Kong Shue Yan University, China 
Guangxi Science & Technology Normal University, China 
Department of Materials and Production, Aalborg University, Denmark 
UPN Veteran Yogyakarta, Indonesia 
Universitas Bina Darma Palembang, Indonesia 
Universitas Bengkulu, Indonesia 
Department of Information Technology, Vignan's Institute of Management and Technology for Women, Ghatkesar, Medchal-Malkajgiri, Telangana, India 
Universiti Sains Malaysia, Malaysia 
INTI International University, Malaysia 
Computer Science Department, Faculty of Computing, University of Port Harcourt, Nigeria ng.png
Department of Educational Technology, University of Ha’il, Saudi Arabia 
Nile Valley University, Sudan 
Abdullah Gül University, Türkiye 
Department of Artificial Intelligence, Tamkang University, Taiwan 
Department of Computer Science, Swinburne Vietnam, FPT University, Vietnam 


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Published: 2026-01-05

  Ranga Swamy Sirisati, J. Sravya, D. Sruthi, A. Nandhu, R. Navya Sree, Dyah Ayu Irawati Pages: 1-11
https://doi.org/10.58723/ijaaiml.v3i1.433

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Article Metrics: Views 146 times,  PDF Downloaded 109 times

  Jaesik Jeong, Kit Ling Chan, Mageswaran Sanmugam Pages: 12-22
https://doi.org/10.58723/ijaaiml.v3i1.649

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Article Metrics: Views 66 times,  PDF Downloaded 42 times

  Wu Shukun, Tri Basuki Kurniawan, Muhammet Esad Kuloğlu Pages: 23-33
https://doi.org/10.58723/ijaaiml.v3i1.652

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Article Metrics: Views 25 times,  PDF Downloaded 25 times

  Deshinta Arrova Dewi, Ugochi Okengwu, Zakka Ugih Rizqi Pages: 34-43
https://doi.org/10.58723/ijaaiml.v3i1.655

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Article Metrics: Views 23 times,  PDF Downloaded 48 times

  Eko Risdianto, Thai Ky Trung Pham, William Yeoh, Sultan Hammad Alshammari Pages: 44-53
https://doi.org/10.58723/ijaaiml.v3i1.656

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Article Metrics: Views 30 times,  PDF Downloaded 26 times

  Lau Meng Cheng, Amel Zulfukar Hassan Adlan Pages: 54-66
https://doi.org/10.58723/ijaaiml.v3i1.651

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Article Metrics: Views 6 times,  PDF Downloaded 2 times
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