AIMS

The Indian Journal of Artificial Intelligence and Neural Networking (IJAINN) is having ISSN 2582-7626 (online), bi-monthly international journal, being published in the months of February, April, June, August, October and December by  Lattice Science Publication (LSP)🔗 Bhopal (M.P.), India since year 2020. The aim of the journal is to:

  1. disseminate original, scientific, theoretical or applied research in the field of Artificial Intelligence and Neural Networking.
  2. dispense a platform for publishing results and research with a strong empirical component.
  3. aqueduct the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
  4. seek original and unpublished research article(s) based on theoretical and experimental works for the publication globally.
  5. publish original, theoretical and practical advances in Artificial Intelligence and Neural Networking.
  6. impart a platform for publishing results and research with a strong empirical component, to create a bridge for significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
  7. solicit original and unpublished research article(s), based on theoretical and experimental works.

SCOPE

The Indian Journal of Artificial Intelligence and Neural Networking (IJAINN) is not limited to a specific aspect of Artificial Intelligence and Neural Networking but is instead devoted to a wide range of subfields in the Artificial Intelligence and Neural Networking. While it encourages a broad spectrum of contribution in the Artificial Intelligence and Neural Networking, its core interest lies in issues concerning Artificial Intelligence and Neural Networking. Articles of interdisciplinary nature are particularly welcome.

The primary goal of the new editors🔗 is to maintain high quality of publications. There will be a commitment to expediting the time taken for the publication of the article(s). The articles that are sent for reviews will have names of the authors deleted with a view towards enhancing the objectivity and fairness of the review process.

Articles that are devoted to the purely mathematical aspects without a discussion of the physical implications of the results or the consideration of specific examples are discouraged. Articles concerning Artificial Intelligence and Neural Networking should not be limited merely to a description and recording of observations but should contain theoretical and quantitative discussion of the results.

The Editors reserve the right to reject article(s) without sending them out for review. Articles for the Regular Issue of the journal can submit, round the year, electronically by using Article Submission System🔗. The summited article (s) should cover following subfields of Artificial Intelligence and Neural Networking:

  • Neural Networks
  • Fuzzy Logic
  • Simulated Biological Evolution Algorithms (Like Genetic Algorithm)
  • Ant Colony Optimization(etc)
  • Reasoning and Evolution
  • Intelligence Applications
  • Computer Vision and Speech Understanding
  • Multimedia and Cognitive Informatics
  • Data Mining and Machine Learning Tools
  • Heuristic and Ai Planning Strategies and Tools
  • Computational Theories of Learning
  • Technology and Computing (Like Particle Swarm Optimization)
  • Intelligent System Architectures
  • Knowledge Representation
  • Bioinformatics
  • Natural Language Processing
  • Multiagent Systems
  • Supervised Learning
  • Unsupervised Learning
  • Deep Learning
  • Big Data and Ai Approaches
  • Reinforcement Learning
  • And Learning with Generative Adversarial Networks