Aim & Scope

The Computational Intelligence and Machine Learning (CIML) journal is an open-access platform dedicated to advancing the boundaries of Artificial Intelligence (AI) and Machine Learning (ML). Its mission is to foster innovation, disseminate knowledge and provide a distinguished forum for global research exchange.

CIML seeks to:

Empower researchers worldwide by offering scholars, professionals and students a premier venue to publish impactful work in AI and ML, enhancing their visibility and reputation in the international community.

Ensure unrestricted access to knowledge by providing free availability of cutting- edge research outcomes, findings and methodologies to a diverse global audience.

Uphold peer-reviewed excellence through the publication of original contributions that demonstrate theoretical depth, analytical rigor and practical relevance across science, engineering and interdisciplinary domains.

Offer diverse publication formats including research articles, letters and review papers, published biannually, with all submissions undergoing rigorous editorial and peer evaluation.

Promote innovation and validated research by publishing studies that reflect state- of-the-art techniques, supported by thorough investigation and reviewed by a technically dynamic editorial team.

Encourage global participation by welcoming submissions from researchers across the world, with all manuscripts subjected to a double-blind peer-review process to ensure integrity, quality and scholarly impact.

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

AI in Education & Learning

ML in Software Engineering & Industry

Computational Intelligence for Human Factors & Safety

Applied AI in Healthcare & Smart Cities

Emerging Frontiers: Explainable AI, Policy, and Sustainability