Editor-in-Chief: Dr. Ali Khan
Scientific Editor: Dr. Muhammad Sajid
Publication Frequency: Bi-Annual
Abbreviated Title: MLHI
Title: Machine Learning for Human Intelligence
Area of Publication: Artificial Intelligence, Machine Learning, Data Science, Cybersecurity, Blockchain, Explainable AI, Biomedical Informatics, Cross-Disciplinary Computational Sciences
Archiving and Preservation Policy
The Machine Learning for Human Intelligence (MLHI) is committed to ensuring the long-term accessibility, preservation, and integrity of all published content. To safeguard scholarly work, the journal employs reliable digital archiving practices and maintains secure backups of all articles.
MLHI utilizes multiple preservation strategies, including:
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Digital archiving in recognized repositories to ensure long-term preservation.
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Regular backups of all published content on secure servers.
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Metadata preservation to maintain discoverability and citation continuity.
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Permanent accessibility through the journal’s website, ensuring that published articles remain available without interruption.
In addition to the measures outlined above, MLHI is actively developing a comprehensive plan for long-term electronic backup and preservation. The journal is evaluating recognized archiving services such as CLOCKSS and PubMed Central to ensure permanent accessibility for future generations of researchers. Updates regarding the selected archiving partner will be provided once the preservation framework is finalized.
Through these measures, MLHI ensures that all published manuscripts remain accessible, citable, and protected against data loss or technological obsolescence, maintaining the integrity and longevity of scholarly communication.
