Computational Intelligence and Machine Learning (CIML)

The Computational Intelligence and Machine Learning is an open access, double-blind peer-reviewed journal that is devoted to publishing pioneering and groundbreaking research findings, outcomes, and studies being carried out by talented and gifted researchers, academics, scientists, scholars and other professionals engaged in the disciplines of Artificial Intelligence and Machine Learning. Computational Intelligence and Machine Learning is a leading interdisciplinary journal whose sole purpose is to facilitate the dissemination of theoretical, experimental and applied research outcomes being accrued by professionals carrying out exploratory and analytical studies across all specializations of Computational Intelligence and Machine Learning or Computational Intelligence and Machine Learning. The primary objective of the Computational Intelligence and Machine Learning is to serve as a comprehensive, open-access platform that is dedicated solely to facilitating the progress and advancement of the field of Artificial Intelligence & Machine Learning by - ● offering gifted and talented researchers engaged within the domain of Artificial Intelligence & Machine Learning a unique setting for them to get their work published and elevate their reputations/standing within the global community, as well as, ● providing professionals, students, academics, and scholars free access to the latest and most advanced research outcomes, findings, and studies, being carried out in the field of Artificial Intelligence & Machine Learning, all across the world.

Computational Intelligence and Machine Learning (CIML) is :-

• International, Peer-Reviewed, Open Access, Refereed, Soft Computing, Fuzzy Logic, Artificial Neural Networks, Evolutionary Computing, Artificial Intelligence, Machine Learning, Artificial Immune Systems, Probabilistic Methods, Cognitive Robotics, Data Mining, Soft computing, Artificial Intelligence and Machine Learning, Data mining, Computational Intelligence Methods for B , Online , Bi-Annual Journal

• UGC Approved, ISSN Approved: P-ISSN E-ISSN: 2582-7464, Established: 2020,
• Provides Crossref DOI

• Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE