‌‌‌‌‌‌‌‌Journal Information

ICCK Transactions on Systems Safety and Reliability

Online ISSN: request pending

Print    ISSN: request pending

Publishing model:  Hybrid

DOI Prefix: 10.62762/TCIDS

Aims & Scope

ICCK Transactions on Computational Intelligence and Data Science is a peer-reviewed international journal devoted to the dissemination of advanced research in the fields of computational intelligence and data science. The journal aims to provide a high-impact platform for the publication of original theoretical developments, methodological innovations, and practical applications in areas such as machine learning, deep learning, evolutionary computation, neural networks, fuzzy systems, data mining, knowledge discovery, and large-scale data analytics. Emphasizing interdisciplinary approaches, the journal seeks to bridge foundational research and real-world deployment across domains including engineering, healthcare, finance, cybersecurity, and intelligent systems. All submissions undergo a rigorous peer-review process to ensure scientific rigor, technical soundness, and relevance to the field.

Publication Frequency

Quarterly

Ownership

The journal is owned by Institute of Central Computation and Knowledge.

Archiving

All journals published by ICCK are archived in Portico, which provides permanent digital archiving for scholarly journals.

Ethics Statement

ICCK is responsible for implementing rigorous peer review and strict ethical policies and standards to ensure that high quality scientific work is added to the field of scholarly publishing. ICCK takes such publishing ethics issues very seriously, and our editors are trained to enforce COPE's Core Practices and Guidelines, with a zero-tolerance policy for plagiarism, data falsification, and other behaviours. To verify the originality of content submitted to our journals, we use iThenticate to check submissions against previous publications.