About the Journal

The Journal of Artificial Intelligence, Machine Learning and Neural Network (JAIMLNN) having ISSN: 2799-1172 is a double-blind, peer-reviewed, open access journal that provides publication of articles in following scope.

Focus and Scope

The aim of this journal is to publish original and unpublished contributions that focus on both theoretical and applied research studies in artificial intelligence, machine learning, neural network and related disciplines, offering diversity and variety to its readers. The journal in each issue through publishing different articles, case studies, and critical reviews intends to present its audience with interdisciplinary themes such as:

  • Machine Learning and Deep Learning
  • Artificial Neural Networks
  • Natural Language Processing
  • Computer Vision and Image Recognition
  • Intelligent Search and Automated Reasoning
  • Intelligent Planning and Decision Systems
  • Fuzzy Logic and Fuzzy Modelling
  • Evolutionary and Bio-inspired Computation
  • Artificial Immune Systems
  • Human-Machine Interaction
  • Knowledge Representation and Management
  • Intelligent System Architectures
  • Software and Hardware for AI Systems
  • Data Mining and Analytics
  • Reinforcement Learning and Learning Theory
  • Hybrid Intelligent Models and Algorithms
  • AI Applications in Healthcare, Engineering, and Industry

The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published shortly after acceptance. All articles published in JAIMLNN are double-blind, peer-reviewed.

The Journal of Artificial Intelligence, Machine Learning and Neural Network is published 2-issues/year frequency by HM Journals.

Types of contribution

Regular articles: These should describe new and carefully confirmed findings, and experimental procedures should be given in sufficient detail for others to verify the work. The length of a full paper should be the minimum required to describe and interpret the work clearly.

Short Communications: A short Communication is suitable for recording the results of complete small investigations or giving details of new models or hypotheses, innovative methods, techniques or apparatus. 

Reviews: Submissions of reviews and perspectives covering topics of current interest are welcome and encouraged. Reviews should be concise and no longer than 4-6 printed pages (about 12 to 18 manuscript pages). Reviews manuscripts are also peer-reviewed.