Prof. Florentin Smarandache, PhD, Postdoc, Mathematics Department, University of New Mexico, Gallup, NM 87301, USA.

PhD. Maikel Leyva-Vázquez, Instituto Superior Tecnológico Bolivariano de Tecnología, Ecuador

Associate Editors:

Phd, Jesús Estupiñan Ricardo, Uniandes--Ecuador

PhD, Noel Batista Hernández Universidad de Guayaquil, Ecuador

PhD, Neilys González Benítez, Centro Meteorológico Provincial de Pinar del Río, Cuba.

Phd, Karina Pérez-Teruel, Universidad Abierta para Adultos, Santiago de los Caballeros, República Dominicana

Phd, Rodolfo González Ortega, Universidade Feevale, Brasil.


PhD, Jesús Hechavarría Hernández, Universidad de Católica Santiago de Guayaquil Ecuador

PhD, Ricardo Sánchez Casanova, Universidad de la Habana, Cuba

PhD, José Sergio Puig Espinosa, Centro de Estudios para la Calidad Educativa y la Investigatión Científica, Toluca, México

Maura de la Caridad Salabarría Roig, Centro de Estudios para la Calidad Educativa y la Investigatión Científica, Toluca, México

Msc, Ing Roberto García Acacela, Universidad Católica Santiago de Guayaquil, Ecuador

Milton Villegas Alava, Universidad de Guayaquil, Guayaquil, Ecuador

Msc, Julio Barzola-Monteses, Universidad de Guayaquil, Guayaquil, Ecuador

Msc, Ing Roberto García Acacela, Universidad Católica Santiago de Guayaquil, Ecuador

Msc, Julio Barzola-Monteses, Universidad de Guayaquil, Guayaquil, Ecuador

PhD. Oiner Gómez Baryolo, Facultad de Sistemas Computacionales y Telecomunicaciones, Universidad Tecnológica ECOTEC, Samborondón, Guayas, Ecuador.

Msc, Salah Hasan Saleh, Universidad de las Ciencias Informáticas, Habana, Cuba

Phd, Omar Mar Cornelio, Universidad de las Ciencias Informáticas, Habana, Cuba

Msc, Tula Carola Sánchez García, Facultad de Educación de la Universidad Nacional Mayor de San Marcos, Lima, Peru

Rafael Rojas, Universidad Industrial de Santander, Bucaramanga, Colombia, Email: rafael2188797@correo.uis.edu.co.

Neutrosophic Computing and Machine Learning
An International Journal in Information Science and Engineering

Information for Authors and Subscribers:
Neutrosophic Computing and Machine Learning (NCML) is an academic journal that has been created for publications of advanced studies in neutrosophy, neutrosophic set, neutrosophic logic, neutrosophic probability, neutrosophic statistics, neutrosophic approaches to machine learning etc. and their applications in any field.
All submitted papers should be professional, in good English or Spanish language, containing a brief review of a problem and obtained results.
Papers are checked for plagiarism and self-plagiarism with an automated computer program.

Read the Information for Authors.
All submissions should be designed in these formats: MS Word template . To submit a paper, e-mail the file to the editors. To order printed issues, contact the editors. This journal is open-access, non-commercial, academic edition. No publication fees.

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

The NCML international journal is funded by the University of New Mexico, Neutrosophic Science International Association and its branch Asociación Latinoamericana de Ciencia Neutrosóficas. Its own website is:

Publication Ethics and Malpractice Statement
Neutrosophic Computing and Machine Learning international journal is committed to ensuring ethics in publication and quality of articles. The journal aims to publish only original scientific papers that contribute in the area of neutrosophic theories & their applications and related topics. Accordance to standards of ethical behavior it is therefore expected from all parties involved: Authors, Editors, Reviewers, and the Publishers.

Our Publication Ethics and Malpractice statement is based on Committee on Publication Ethics (COPE) Best Practice Guidelines for Journal Editors.

Reviewer's Report
The reviewing process is the following: several members of the Reviewing Committee choose at least three reviewers from around the world. Each reviewer sends a report and a recommendation: accept, reject, or accept after minor or major corrections. Fill in the Reviewer Report.

Copyright Transfer Agreement
The authors should sign and return the Copyright Transfer Agreement.

Open Access Statement
Users are freely allowed to read, download, copy, distribute, link to, or print the full texts of the articles in this journal without asking for prior permission from the publishers or the authors. This is in accordance with the BOAI definition of open access.

Download issues of the NCML international journal:
Issues of Neutrosophic Computing and Machine Learning are accessible, in PDF format, through the direct links from below.

Vol. 11, 2020;
Vol. 10, 2019; Vol. 9, 2019; Vol. 8, 2019;
Vol. 7, 2019; Vol. 6, 2019; Vol. 5, 2019;
  Vol. 4, 2018;   Vol. 3, 2018;   Vol. 2, 2018;   Vol. 1, 2018  
  Download separate NCML articles with DOI numbers

Visit our open-source Digital Science Library

The authors of neutrosophic papers are included in
Encyclopedia of Neutrosophic Researchers
Vol. 1
, Vol. 2, Vol. 3.

Neutrosophic Science International Association (NSIA)
with branches in 40 countries around the world.

Postal Address
Neutrosophic Computing and Machine Learning, University of New Mexico, Mathematics & Science Department, 705 Gurley Ave., Gallup, NM 87301, U.S.A.
E-mail: smarand@unm.edu.

Copyright @ Neutrosophic Computing and Machine Learning  
This is an open access journal distributed under the Creative Commons Attribution License that permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

ISSN (print): 2574-1098, ISSN (online): 2574-1101

NCML is indexed by EBSCO, Google Scholar, Google Plus, Google Books, CNKI (accepted), Actualidad Latinoamericana etc.

Google Diction ary has translated the neologisms " neutrosophy" (1) and "neutrosophic" (2) , coined in 1995 for the first time, into about 100 languages.

FOLDOC Dictionary of Computing (1, 2), Webster Dictionary (1, 2), Wordnik (1) , Dictionary.com, The Free Dictionary (1), Wiktionary (2), YourDictionary (1, 2), OneLook Dictionary (1, 2), Dictionary / Thesaurus (1), Online Medical Dictionary (1, 2), and Encyclopedia (1, 2) have included these scientific neologisms.


DOI numbers are assigned to all published articles.

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