Francisco Paiva Knebel - Google Scholar

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	All	Since 2019
Citations	47	47
h-index	2	2
i10-index	1	1

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2022202320245 14 26

Co-authors

Juliano Araujo WickboldtAssociate Professor, Federal University of Rio Grande do Sul (UFRGS), BrazilVerified email at inf.ufrgs.br
Mara AbelProfessor in Institute of Informatics UFRGSVerified email at inf.ufrgs.br
Edison Pignaton de FreitasAssociate Professor at Federal University of Rio Grande do SulVerified email at ufrgs.br

Francisco Paiva Knebel

Francisco Paiva Knebel

Universidade Federal do Rio Grande do Sul

Verified email at inf.ufrgs.br - Homepage

Digital Twin Cloud Computing Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A study on cloud and edge computing for the implementation of digital twins in the oil & gas industries FP Knebel, R Trevisan, GS do Nascimento, M Abel, JA Wickboldt Computers & Industrial Engineering 182 (109363), 14, 2023	36	2023
A Cloud-Fog Computing Architecture for Real-Time Digital Twins FP Knebel, JA Wickboldt, EP de Freitas arXiv preprint arXiv:2012.06118, 2020	9*	2020
Uma Avaliação do uso de MQTT para a Implementação de Digital Twins R Trevisan, FP Knebel, JA Wickboldt	1	2020
An open Digital Twin framework based on microservices in the cloud FP Knebel	1	2020
Designing and implementing digital twins with cloud and edge computing: challenges and opportunities FP Knebel UFRGS, 2024		2024
Aquisição de Dados Escalável e Ciente da Aplicação para Gêmeos Digitais R Trevisan, FP Knebel, JA Wickboldt, M Abel Workshop de Gerência e Operação de Redes e Serviços, 2022		2022

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