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International Journal of Artificial Intelligence, Machine Learning and Intelligent Systems

IJAIMLIS is an international peer reviewed journal that serves as a leading platform for high-quality research in the field of Computer Engineering. The journal is published biannually by MAT Journals Pvt. Ltd. with a focus on covering researches on all branches of Artificial Intelligence, Machine Learning and its application, General Intelligence, Automation, Human-like Interactions, robotics, Field and service robotics.
The subject areas suitable for publication include, but are not limited to the following fields:

Focus and Scope

  • Assistive Robotics
  • Mechatronics
  • Natural Language Processing
  • Expert Systems and Fuzzy logic
  • Reasoning and Evolution
  • Parallel Processing and Programming Languages
  • Software & Hardware Architectures
  • CAD Design & Testing
  • Web Intelligence Applications
  • Computer Vision and Speech Understanding
  • Multimedia & Cognitive Informatics
  • Pattern Recognition
  • Factory Automation, Military Applications
  • Medical Care, Education , Entertainment
  • Deep Learning
  • Neural Networks
  • Reinforcement Machine Learning
  • Supervised Machine Learning
  • Unsupervised Machine Learning
  • Data Mining and Machine Learning Tools
  • Heuristic and AI Planning Strategies and Tools
  • Computational Theories of Learning
  • Signal, Image & Speech Processing
  • Data Structures, Algorithms
  • Human Identification (various Biometric Modalities)
  • Visual Surveillance
  • Intelligent Transportation
  • Visual Inspection, Character Recognition
Journal Particulars
Title International Journal of Artificial Intelligence, Machine Learning and Intelligent Systems
Frequency Biannual (June, December)
Publisher MAT Journals Pvt. Ltd.
Copyright © MAT Journals Pvt. Ltd.
Starting year 2025
Subject Computer Science
Language English
Publication format Online + Print
Email Id info@matjournals.com
Mobile No. 8506060024, 9911977892
Readership Researchers, Academicians, Scholars, Professionals and Students
Indexed in Google Scholar, DOI