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Advances In Intelligent Systems: From Artificial Intelligence To Machine Learning And Beyond.

Authors :
Marcos Rodríguez, Marco Antonio
Cerna Muñoz, Carlos Alfredo
Aguado Lingán, Aracelli Mónica
Saldaña Bocanegra, Jesús Catherine
Zata Pupuche, Pedro Enrique
Gonzales Lizarme, María Salomé
Source :
Journal of Namibian Studies; 2023 Supplement, Vol. 33, p4605-4621, 17p
Publication Year :
2023

Abstract

A documentary review was carried out on the production and publication of research papers related to the study of the variables INTELLIGENT SYSTEMS, ARTIFICIAL INTELLIGENCE and AUTOMATIC LEARNING. The purpose of the bibliometric analysis proposed in this document was to know the main characteristics of the volume of publications registered in the Scopus database during the period 2017-2022 by Latin American institutions, achieving the identification of 196 publications. The information provided by this platform was organized through graphs and figures categorizing the information by Year of Publication, Country of Origin, Area of Knowledge and Type of Publication. Once these characteristics have been described, the position of different authors towards the proposed theme is referenced through a qualitative analysis. Among the main findings made through this research, it is found that Brazil with 104 publications was the Latin American country with the highest scientific production registered in the name of authors affiliated with institutions of that nation. The Area of Knowledge that made the greatest contribution to the construction of bibliographic material referring to the study of Intelligent Systems, Artificial Intelligence and Machine Learning was Computer Science with 151 published documents, and the Type of Publication most used during the period indicated above were Conference Articles with 55% of the total scientific production. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18635954
Volume :
33
Database :
Complementary Index
Journal :
Journal of Namibian Studies
Publication Type :
Academic Journal
Accession number :
172940732
Full Text :
https://doi.org/10.59670/jns.v33i.3966