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The aim of this journal is to publish original and unpublished contributions that focus on both theoretical and applied research studies in artificial intelligence, machine learning, neural network and related disciplines,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:
- Neural Networks
- Intelligent Search
- Intelligent Planning
- Intelligence Applications
- Data mining and Machine Learning Tools
- Natural Language Processing
- Automated Reasoning
- Machine Learning
- Hybridisation of Intelligent Models/Algorithms
- Neural Networks
- Intelligence Applications
- Human Machine Interaction
- Intelligent and Learning Theory
- Learning Algorithms
- Artificial Immune Systems
- Knowledge Representation
- Technology & Computing
- Fuzzy Logic
- Software & Hardware Architectures
- Heuristic and AI Planning Strategies and Tools
- Deep Learning Architectures and Algorithms
- Intelligent System Architectures
- Knowledge Management and Processing Tools
- Fuzzy Modelling and Control
Neural Networks
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 Bimonthly (one volume per year) 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.