EDITOR-IN-CHIEF

Dr.S.Balamurugan Ph.D., D.Sc., SMIEEE,

ACM Distinguished Speaker,
Founder & Chairman - Albert Einstein Engineering and Research Labs (AEER Labs)
Vice Chairman- Renewable Energy Society of India (RESI), India

Dr.RAYNER ALFRED

Professor and Post-Doctoral Researcher,
Knowledge Technology Research Group,
Faculty of Computing and Informatics,
Universiti Malaysia Sabah , Malaysia

A Premier Computational Intelligence and Machine Learning

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.

Paramount Importance To Research Of The Highest Quality

Computational Intelligence and Machine Learning is highly sought after all across the globe, because of the fact that all research published herein, is carefully vetted by a dedicated reviewing committee for its accuracy, authenticity, relevance, up-to-dateness, and significance. That is why readers of Computational Intelligence and Machine Learning rest assured that any and all research data, outcomes, and findings that are published here, are of the highest quality.

Aim & Scope

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.

Related Topics

Soft computing

Fuzzy Logic

Artificial Neural Networks

Evolutionary Computing

Artificial Intelligence and Machine Learning

Artificial Immune Systems

Probabilistic Methods

Cognitive Robotics

Data mining

Computational Intelligence Methods for Bioinformatics and Biostatistics

Other emerging topics in Computational Intelligence

Nanobioscience

Information Forensics and technology

Nanotechnology

Cybersecurity

Big Data

Bioengineering and Biotechnology

Computational Neuroscience

Indexing Journals