Scienxt Journal of Artificial Intelligence and Machine Learning (SJAIML)

e-ISSN: 2584-1939

SJAIML – Scienxt Journal of Artificial Intelligence and Machine Learning, Double blind peer-reviewed Journal,  disseminates the most recent findings and innovations in various fields of Artificial Intelligence and Machine Learning in the form of Original Research, Reviews, Case Studies, Opinions, etc. Journal maintains a Quick Publication process with strict peer review to enhance the quality of content. Every submitted manuscript undergoes peer review by the subject matter experts under the supervision of the Editor-in-Chief or assigned Editorial Board member of the Journal.

The Journal also publishes conference proceedings.

Scope & Focus

SJAIML Journal has the following scope and focus but, not limited to the following topics: Network, computer vision, Big Data, natural language processing, Supervised Machine Learning, unsupervised machine learning, Model Optimisation Process, Machine Learning Algorithms, chatbots, Bayesian networks, Reinforcement Learning, Generative Adversarial Networks.

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No – Article Processing Charges(APC); Free – Digital Object Identifier (DOI), Free – Certificate Of  Publication (COP)

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