Neutrosophic Computing and Machine Learning (NCML) is a scientific research journal established to publish advanced studies in neutrosophy, neutrosophic sets, neutrosophic logic, neutrosophic probability, neutrosophic statistics, neutrosophic approaches to machine learning, and their applications in any field.

All submitted papers must be professional, written in proper English or Spanish, and include a brief overview of a problem and the results obtained. Submissions are reviewed for plagiarism and self-plagiarism using an automated software program.

Read the Information for Authors
All submissions must be formatted using these templates: Word Template. To submit a paper, email the file to the editors. For printed editions, contact the editors. This journal is open access, non-commercial, and publishes academic content. No publication fees are charged.

The international NCML journal is sponsored by the Latin American Association of Neutrosophic Science, the International Association of Neutrosophic Science, and the University of New Mexico. Websites:
http://fs.unm.edu/NCML2/index.php/112

http://fs.unm.edu/NCML/.

The University of New Mexico's website on theories and applications of neutrosophy is:
http://fs.unm.edu/neutrosophy.htm.

Our journal is committed to ensuring the long-term preservation of all published content. To achieve this, we have implemented the following measures:

  • PKP Preservation Network (PKP PN): We utilize the PKP PN plugin to automatically deposit our content into a digital preservation network, ensuring its future availability.

  • Internet Archive: Our articles are archived in Internet Archive (archive.org), a non-profit digital library dedicated to preserving digital elements of cultural and historical significance.

  • Repository Deposit Policy

    The journal Neutrosophic Computing and Machine Learning allows and encourages authors to deposit versions of their works in institutional repositories or other repositories of their choice. This policy is recorded in the journal's copyright notice, which states that authors retain the rights to use their articles in any other publications and in any way they see fit. This means that electronic copying, distribution, and printing of the full version of the journal and individual articles can be made by any user without permission or charge.