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. 2 No. 3 (2025): International Journal of Advances in Artificial Intelligence and Machine Learning

This issue has been available online since November 2025 for the regular issue of  November 2025. All articles in this issue (9 original research articles) were authored/co-authored by 36 authors from 17 Institutions and 7 different countries (Indonesia, India, Iraq, Malaysia, Nigeria, Saudi Arabia, and United States). There are:

Digital Health and Research, Lakeshore Cancer Center, Nigeria  
Computer science, Federal University Lokoja, Nigeria 
Biomedical engineering, Bells University of Technology, Nigeria 
Electronic and Computer Engineering, Lagos State University, Nigeria 
Federal Medical Center Ebute-Metta, Nigeria 
College of Medicine and Health Sciences, Afe Babalola University, Nigeria 
Engineering, Tennessee Technological University, United States 
University of Kerbala, Iraq 
Department of Computer Science, College of Computer, Qassim University, Buraydah, Saudi Arabia 
 Vignan's Institute of Management and Technology for Women, India 
Universitas Riau, Indonesia 
Universitas Dharma AUB surakarta, Indonesia 
Universitas Diponegoro, Jawa Tengah, Indonesia 
Universitas Bina Darma, Palembang, Indonesia 
Politeknik Kesehatan Kemenkes Palembang, Indonesia 
Madrasah Aliyah Negeri Insan Cendekia Ogan Komering Ilir, Indonesia id.png
INTI International University, Malaysia 
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Published: 2025-08-23

  Joy Aifuobhokhan, Ahmad Khalid Hussain, Chijioke Cyriacus Ekechi, Aisha Olasunbo Olanrewaju, Emmanuel Afuadajo, Deborah Adetola Bowale, Oluwadare Marvellous Inioluwa Pages: 135-148
https://doi.org/10.58723/ijaaiml.v2i3.469

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Article Metrics: Views 490 times,  PDF Downloaded 234 times

  Ammar Aljawad Pages: 149-159
https://doi.org/10.58723/ijaaiml.v2i3.487

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Article Metrics: Views 189 times,  PDF Downloaded 222 times

  Faisal Alghamdi, Boulbaba Ben Ammar Pages: 160-169
https://doi.org/10.58723/ijaaiml.v2i3.515

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Article Metrics: Views 227 times,  PDF Downloaded 233 times

  Nadiah Fahad AlOtaibi Pages: 170-177
https://doi.org/10.58723/ijaaiml.v2i3.542

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Article Metrics: Views 203 times,  PDF Downloaded 45 times

  Ranga Swamy Sirisati, V. Navyasri, T. Swathi, M. Akhila, Astried Astried Pages: 178-186
https://doi.org/10.58723/ijaaiml.v2i3.420

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Article Metrics: Views 358 times,  PDF Downloaded 111 times

  Helini Kolan, Keerthana Mungi, Lekhana Somayajula, Harshitha Achanta, Vaishnavi Edulakanti, Haryanto Haryanto Pages: 187-198
https://doi.org/10.58723/ijaaiml.v2i3.456

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Article Metrics: Views 284 times,  PDF Downloaded 250 times

  MD Fouziya, Avula Sruthi, Paila Prathina , Parsha Sushma, Madas Rithika, Helmie Arif Wibawa Pages: 199-207
https://doi.org/10.58723/ijaaiml.v2i3.460

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Article Metrics: Views 111 times,  PDF Downloaded 86 times

  G. Ramya, N. Chandra lekha , P. Pranathi, P. Sahana Pages: 208-216
https://doi.org/10.58723/ijaaiml.v2i3.461

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Article Metrics: Views 142 times,  PDF Downloaded 118 times

  Misinem Misinem, Hafiz Muhammad Kurniawan, Fadly Fadly, Muhammad Raihan Hanif Pages: 217-230
https://doi.org/10.58723/ijaaiml.v2i3.567

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Article Metrics: Views 131 times,  PDF Downloaded 12 times
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