SJAIML – Scienxt Journal of Artificial Intelligence and Machine Learning is a double-blind peer-reviewed journal dedicated to disseminating the latest findings and innovations in the fields of Artificial Intelligence and Machine Learning. We publish various types of content, including Original Research, Reviews, Case Studies, Opinions, and Conference Proceedings.

The journal ensures a rapid publication process with rigorous peer review to maintain high-quality content. Every submitted manuscript undergoes a thorough review by subject matter experts under the supervision of the Editor-in-Chief or an assigned Editorial Board member.

  • Frequency: Triannual (April, August, December)
  • Publisher: Scienxt Center of Excellence (P) Ltd.
  • Chief Editor: Dr. Grantej Vinod Otari
  • Copyright: © Scienxt Center of Excellence (P) Ltd.
  • Subject: Artificial Intelligence and Machine Learning
  • Language: English
  • Publication Format: Print + Online

Scope & Focus

The SJAIML Journal focuses on, but is not limited to, the following topics:

  • Neural Networks
  • Computer Vision
  • Big Data
  • Natural Language Processing
  • Supervised Machine Learning
  • Unsupervised Machine Learning
  • Model Optimization Process
  • Machine Learning Algorithms
  • Chatbots
  • Bayesian Networks
  • Reinforcement Learning
  • Generative Adversarial Networks

Indexing

The journal is indexed in the following repositories:

  • Google Scholar
  • Zenodo
  • Figshare
  • Academia
  • Scribd
  • ResearchGate

Publication Charges

No Article Processing Charges (APC)

Free: Digital Object Identifier (DOI)

Free: Certificate of Publication (COP)

Submission Information

You can submit your manuscript(s) online at info@scienxt.com.