المؤلفون: Ortiz, Adrielly Garcia, Pereira, Carlos Felipe S., Faria, Camila Alves de, Azevedo, Camila Lindoni, Biazevic, Maria Gabriela Haye, Michel Crosato, Edgard

المصدر: Brazilian Journal of Implantology and Health Sciences ; Vol. 6 No. 2 (2024): BJIHS QUALIS B3; 1374-1378 ; Vol. 6 Núm. 2 (2024): BJIHS QUALIS B3; 1374-1378 ; v. 6 n. 2 (2024): BJIHS QUALIS B3; 1374-1378 ; 2674-8169

مصطلحات موضوعية: Identificação, Odontologia Forense, Ciências de Dados, Aprendizado de máquinas, Identification, Forensic Dentistry, Data Science, Machine Learning

وصف الملف: application/pdf

Relation: https://bjihs.emnuvens.com.br/bjihs/article/view/1483/1664; https://bjihs.emnuvens.com.br/bjihs/article/view/1483

الاتاحة: https://bjihs.emnuvens.com.br/bjihs/article/view/1483
https://doi.org/10.36557/2674-8169.2024v6n2p1374-1378

المؤلفون: Lemus-Delgado, Daniel, Pérez Navarro, Ricardo

مصطلحات موضوعية: global studies, big data, scientific research, Methodology, estudios globales, ciencias de datos, investigación científica, metodología, estudos globais, ciências de dados, Pesquisa científica, metodologia

Relation: info:eu-repo/semantics/reference/issn/0121-5612; info:eu-repo/semantics/reference/issn/1900-6004; http://journals.openedition.org/colombiaint/3824

الاتاحة: http://journals.openedition.org/colombiaint/3824

المؤلفون: Silva, Luciano Édipo Pereira da

مصطلحات موضوعية: Software Web, Internet das Coisas, Ciências de Dados, Ciência da Computação

وصف الملف: application/octet-stream

Relation: https://repositorio.ufms.br/handle/123456789/6850

الاتاحة: https://repositorio.ufms.br/handle/123456789/6850

المؤلفون: Valente, Emanuele de Oliveira, Valente, Gerson de Freitas Silva

المصدر: Brazilian Journal of Animal and Environmental Research; v. 4, n. 3 (2021); 3748-3757 ; 2595-573X

مصطلحات موضوعية: Ciências de dados, Hipsométricas, Machine learning, Atividades Florestais

وصف الملف: application/pdf

Relation: https://www.brazilianjournals.com/index.php/BJAER/article/view/34441/26953; https://www.brazilianjournals.com/index.php/BJAER/article/view/34441

الاتاحة: https://www.brazilianjournals.com/index.php/BJAER/article/view/34441
https://doi.org/10.34188/bjaerv4n3-080

المؤلفون: VINÍCIUS MOREIRA GALVÃO

المساهمون: HUDSON SILVA BORGES

مصطلحات موضوعية: ciências de dados, GitHub, mineração de padrões, padrões de comportamento, desenvolvimento de software, FpGrowth, repositórios, Engenharia / Tecnologia

وصف الملف: application/pdf

Relation: https://repositorio.ufms.br/handle/123456789/10465

الاتاحة: https://repositorio.ufms.br/handle/123456789/10465

المؤلفون: Lemus-Delgado, Daniel, Pérez Navarro, Ricardo

مصطلحات موضوعية: global studies, big data, scientific research, Methodology, estudios globales, ciencias de datos, investigación científica, metodología, estudos globais, ciências de dados, Pesquisa científica

Relation: http://journals.openedition.org/colombiaint/3824

الاتاحة: http://journals.openedition.org/colombiaint/3824

المؤلفون: Ricardo Pérez Navarro, Daniel Lemus-Delgado

المصدر: Colombia Internacional, Vol 102, Pp 41-62 (2020)
Colombia Internacional, Issue: 102, Pages: 41-62, Published: 01 APR 2020

مصطلحات موضوعية: Big Data, History, Sociology and Political Science, Global Studies, global studies, 050601 international relations, lcsh:Political science (General), big data, investigación científica, 050602 political science & public administration, lcsh:JA1-92, ciências de dados, metodología, Pesquisa científica, Methodology, 05 social sciences, metodologia, lcsh:International relations, methodology, ciencias de datos, Estudos globais, 0506 political science, Estudios globales, Political Science and International Relations, Scientific Research, scientific research, lcsh:JZ2-6530

وصف الملف: text/html

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a21a02d8a1fd6f14274f2254d9e74c5
https://revistas.uniandes.edu.co/doi/pdf/10.7440/colombiaint102.2020.03

المؤلفون: Guimarães, Edson da Silva

المساهمون: Boas, Paulino Ribeiro Villas

مصطلحات موضوعية: Redes neurais, Big data, Ciências de dados, Randon forest, Previsão da produtividade, Extreme gradient boosting, MultiLayer perceptron, Random forest, Neural network, Data science, Crop yield prediction

وصف الملف: application/pdf

Relation: https://www.teses.usp.br/teses/disponiveis/55/55137/tde-09062020-123106/

الاتاحة: https://www.teses.usp.br/teses/disponiveis/55/55137/tde-09062020-123106/
https://doi.org/10.11606/D.55.2020.tde-09062020-123106