Journal of Artificial Intelligence, Machine Learning and Soft Computing

The Journal of Artificial Intelligence, Machine Learning and Soft Computing is a tri-annual peer-reviewed journal that presents papers on intelligent use of emerging methodologies and theories in the interrelated fields of artificial intelligence, machine learning and soft computing. This journal covers a wide spectrum of topics in these fields and the aim is to further explore emerging methodologies, engineering and other applications.

Some of the topics covered under this journal (but not limited to them) are:

  • Neural Network
  • Embedded System
  • Adaptive Technique
  • Genetic Algorithm
  • Artificial Potential
  • Swarm Intelligence
  • Smart Condition Monitoring
  • Cerebellar Model Articulation
  • Heuristic Method
  • Evolutionary Computing
  • Petri Net Modeling
  • Voronoi Diagram
  • Machine Vision
  • Robotics
  • Intelligent Bio Technology
  • Tabu Search
  • Smart Nano Structures
  • Evolutionary Computing
  • Rule Based Technique
  • Artificial Immune Systems
  • Cognitive Methods
  • Agent Based System
  • Fault Diagnosis
  • Computer Vision and Machine Learning
  • Multimedia Application of AI
  • Soft Computing and Bioinformatics
  • Application of Soft Computing

This journal endeavours to bring together application developers, R&D centres, technologists and academicians on emerging areas of research in these interrelated fields.

We invite authors to suggest and submit papers on all aspects of Artificial Intelligence, soft computing and machine learning. This journal’s focus and scope is not limited to the topics mentioned above.