About the Journal

International Journal of Artificial Intelligence, Machine Learning and Data Analytics (IJAIMLDA)

The International Journal of Artificial Intelligence, Machine Learning and Data Analytics (IJAIMLDA) is a peer-reviewed, open-access international journal dedicated to research and scholarly contributions in Artificial Intelligence, Machine Learning, Data Analytics, and related emerging technologies.

Journal Information

  • Full Title: International Journal of Artificial Intelligence, Machine Learning and Data Analytics
  • Journal Abbreviation: IJAIMLDA
  • Starting Year: 2026
  • Publication Frequency: Biannual (Two Issues per Year)
  • Publication Format: Online
  • Language: English
  • Subject: Artificial Intelligence, Machine Learning, Data Analytics and related interdisciplinary fields
  • Peer Review: Double-Blind Peer Review
  • Access: Open Access

About the Journal
IJAIMLDA provides a scholarly platform for researchers, academicians, industry professionals, and practitioners to publish original research, review articles, methodological studies, and application-oriented research.
The journal encourages high-quality research addressing theoretical developments, practical applications, emerging technologies, and interdisciplinary challenges involving intelligent systems and data-driven technologies.

Aim & Scope
The aim of IJAIMLDA is to promote the advancement and dissemination of high-quality research in Artificial Intelligence, Machine Learning, and Data Analytics. The journal encourages innovative and interdisciplinary research with scientific, technological, industrial, and societal relevance.

The journal welcomes research covering, but not limited to:

  • Artificial Intelligence
  • Machine Learning
  • Deep Learning
  • Neural Networks
  • Natural Language Processing
  • Computer Vision
  • Data Science and Data Analytics
  • Big Data Analytics
  • Data Mining
  • Predictive Analytics
  • Generative AI
  • Explainable and Responsible AI
  • Intelligent Systems
  • Robotics and Autonomous Systems
  • Internet of Things and Intelligent Computing
  • Cybersecurity and AI
  • Knowledge Representation
  • Decision Support Systems
  • AI in Healthcare
  • AI in Education
  • AI in Finance and Business
  • Smart Cities and Intelligent Infrastructure
  • Human–AI Interaction
  • Emerging AI and Data Analytics Technologies

Article Types
IJAIMLDA accepts:

  • Original Research Articles
  • Review Articles
  • Systematic Review Articles
  • Methodological Research
  • Applied Research and Case Studies

Author Guidelines
Authors are required to follow the journal's Author Guidelines when preparing and submitting manuscripts. Manuscripts should be original, clearly written, within the scope of the journal, and not simultaneously submitted to another publication.
Authors should provide complete author information, affiliations, references, figures, tables, and other required submission information in accordance with the journal's guidelines.

Submission Details
Manuscripts are submitted electronically through the journal's Online Submission System.
Authors must register on the journal's Open Journal Systems (OJS) platform before submitting a manuscript.
All submissions undergo an initial editorial assessment for scope, suitability, originality, and basic academic requirements before being considered for peer review.

Publication Frequency
IJAIMLDA is published biannually, with two issues per year:

  • Issue 1: January–June
  • Issue 2: July–December

Peer Review
All suitable manuscripts undergo a double-blind peer-review process. The identities of authors and reviewers are concealed during the review process.

Open Access
IJAIMLDA follows an open-access publishing model, allowing readers to access published articles online without subscription barriers.