Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Priscilla Bassetto"'
Autor:
Tathiana M. Barchi, João Lucas Ferreira dos Santos, Priscilla Bassetto, Henrique Nazário Rocha, Sergio L. Stevan, Fernanda Cristina Correa, Yslene Rocha Kachba, Hugo Valadares Siqueira
Publikováno v:
FinTech, Vol 3, Iss 1, Pp 216-235 (2024)
Sugar is an important commodity that is used beyond the food industry. It can be produced from sugarcane and sugar beet, depending on the region. Prices worldwide differ due to high volatility, making it difficult to estimate their forecast. Thus, th
Externí odkaz:
https://doaj.org/article/049add0bc4644a238918cdf4e739805f
Autor:
Paulo S. G. de Mattos Neto, João F. L. de Oliveira, Priscilla Bassetto, Hugo Valadares Siqueira, Luciano Barbosa, Emilly Pereira Alves, Manoel H. N. Marinho, Guilherme Ferretti Rissi, Fu Li
Publikováno v:
Sensors, Vol 21, Iss 23, p 8096 (2021)
The employment of smart meters for energy consumption monitoring is essential for planning and management of power generation systems. In this context, forecasting energy consumption is a valuable asset for decision making, since it can improve the p
Externí odkaz:
https://doaj.org/article/6380a8b316654711ab327ab144422e3a
Autor:
Erickson Diogo Pereira Puchta, Priscilla Bassetto, Lucas Henrique Biuk, Marco Antônio Itaborahy Filho, Attilio Converti, Mauricio dos Santos Kaster, Hugo Valadares Siqueira
Publikováno v:
Energies, Vol 14, Iss 12, p 3385 (2021)
This work deals with metaheuristic optimization algorithms to derive the best parameters for the Gaussian Adaptive PID controller. This controller represents a multimodal problem, where several distinct solutions can achieve similar best performances
Externí odkaz:
https://doaj.org/article/46ef7675cdf14306964d819542c120ab
Autor:
Guilherme Fernando Ribeiro, Priscilla Bassetto, Rony Peterson da Rocha, Yslene Rocha Kachba, Aldo Braghini Junior
Publikováno v:
Revista de Gestão dos Países de Língua Portuguesa. 20:166-195
A pesquisa tem como objetivo propor uma classificação multicritério aos métodos de previsão de demanda para novos produtos, considerando as características do sistema brasileiro de franquias. Utilizou-se a técnica de coleta dos dados do tipo q
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6491ffad02e26702725f435d0e1e4bb8
https://doi.org/10.12660/rgplp.v20n3.2021.83473
https://doi.org/10.12660/rgplp.v20n3.2021.83473
Autor:
Aldo Braghini Júnior, Priscilla Bassetto, Yslene Rocha Kachba, Guilherme Fernando Ribeiro, Rony Peterson da Rocha
Publikováno v:
Produto & Produção; v. 22, n. 3 (2021)
Com o intuito de apresentar uma classificação de métodos de previsão de demanda para novos produtos, o artigo teve como objetivo apresentar o processo de elaboração e validação de um questionário de pesquisa realizado em um estudo consideran
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83ec1505d1ea545129976df5e6cecf9c
https://doi.org/10.22456/1983-8026.112424
https://doi.org/10.22456/1983-8026.112424
Autor:
Priscilla Bassetto, Erickson D. P. Puchta, Mauricio dos Santos Kaster, Hugo Siqueira, Lucas H. Biuk, Marco A. Itaborahy Filho
Publikováno v:
2021 14th IEEE International Conference on Industry Applications (INDUSCON).
This work presents a comparative study of the performance of two bioinspired metaheuristics - Whale Optimization Algorithm (WOA) and Artificial Bee Colony (ABC) to find the parameters of an Adaptive Gaussian PID controller (GAPID), comparing the resu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::316eed7ff7db53d3b754175f154ae19e
https://doi.org/10.1109/induscon51756.2021.9529388
https://doi.org/10.1109/induscon51756.2021.9529388
Autor:
Marco A. Itaborahy Filho, Attilio Converti, Lucas H. Biuk, Mauricio dos Santos Kaster, Erickson D. P. Puchta, Priscilla Bassetto, Hugo Siqueira
Publikováno v:
Energies
Volume 14
Issue 12
Energies, Vol 14, Iss 3385, p 3385 (2021)
Volume 14
Issue 12
Energies, Vol 14, Iss 3385, p 3385 (2021)
This work deals with metaheuristic optimization algorithms to derive the best parameters for the Gaussian Adaptive PID controller. This controller represents a multimodal problem, where several distinct solutions can achieve similar best performances
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1bf475b09ad35e16a2ef1501fde7ef8a
http://hdl.handle.net/11567/1048557
http://hdl.handle.net/11567/1048557
