Neutrosophic Computing and Machine Learning (NCML): An lnternational Book Series in lnformation Science and Engineering. Volume 5/2019

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"Neutrosophic Computing and Machine Learning" (NCML) 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.

"Neutrosophic Computing and Machine Learning" (NCML) ha sido creada para publicaciones de estudios avanzados en neutrosofía, conjunto neutrosófico, lógica neutrosófica, probabilidad neutrosófica, estadística neutrosófica, enfoques neutrosó-ficos para el aprendizaje automático, etc. y sus aplicaciones en cual-quier campo.

Contributors to current issue (listed in papers' order): Florentín Smarandache, Daylin Hernández Prieto, Maydelis Crusá Lorenzo, Alexande Rodríguez, Neilys González Benítez, Lexander Guerrero Morales, Ricardo Walfrido Proenza Ventura, Amalia Hernández González, Alier Proenza Verdecia, César Barrionuevo de la Rosa. Brenda Cárdenas Bolaños, Hugo Cárdenas Echeverría, Roddy Cabezas Padilla, Maikel Leyva Vázquez, Carmen León Segura, Ismel Bravo Placeres.

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