Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Alexandre M. A. Maciel"'
Autor:
Andrea Vasconcelos, Amanda Monteiro, Tatiane Costa, Ana Clara Rode, Manoel H. N. Marinho, Roberto Dias Filho, Alexandre M. A. Maciel
Publikováno v:
Energies, Vol 16, Iss 24, p 8095 (2023)
Worldwide, governmental organizations are restructuring energy policies, making them cleaner, encouraging transformation and energy transition by integrating renewable sources, engaging in environmental preservation, and, notably, meeting the growing
Externí odkaz:
https://doaj.org/article/2ff032ab7c96426095efd23de51c54f0
Autor:
Jose Edson De Albuquerque Filho, Laislla C. P. Brandao, Bruno Jose Torres Fernandes, Alexandre M. A. Maciel
Publikováno v:
IEEE Access, Vol 10, Pp 112342-112367 (2022)
Anomaly detection is a critical issue across several academic fields and real-world applications. Artificial neural networks have been proposed to detect anomalies from different input types, but there is no clear guide to deciding which model to use
Externí odkaz:
https://doaj.org/article/2d4e4380465349c9a6c6b6e71b1b2c2d
Autor:
Antonio Venancio M. L. Filho, Andrea S. M. Vasconcelos, Washington de A. S. Junior, Nicolau K. L. Dantas, Ayrlw Maynyson C. Arcanjo, Amanda C. M. Souza, Amanda L. Fernandes, Kaihang Zhang, Kunlin Wu, José F. C. Castro, Luiz H. A. de Medeiros, Alexandre M. A. Maciel
Publikováno v:
Energies, Vol 16, Iss 5, p 2397 (2023)
The search for charging electric vehicles using renewable energy sources and ensuring the stability of the electrical system has been growing. This has led to the development of charging stations that integrate photovoltaic systems, energy storage sy
Externí odkaz:
https://doaj.org/article/d8a55c64940e4d418f552b1cda93663c
Publikováno v:
Sensors, Vol 22, Iss 16, p 6138 (2022)
This work presents a novel Automated Machine Learning (AutoML) approach for Real-Time Fault Detection and Diagnosis (RT-FDD). The approach’s particular characteristics are: it uses only data that are commonly available in industrial automation syst
Externí odkaz:
https://doaj.org/article/7184cc0ad78a481cba31a8e53887f225
Autor:
Nicolau K. L. Dantas, Amanda C. M. Souza, Andrea S. M. Vasconcelos, Washington de A. S. Junior, Guilherme Rissi, Celso Dall’Orto, Alexandre M. A. Maciel, José F. C. Castro, Yang Liu, Pedro Rosas
Publikováno v:
Energies, Vol 15, Iss 13, p 4586 (2022)
Increasing wind generation insertion levels on electrical grids through power converters may cause instabilities in the AC grid due to the intermittent wind nature. Integrating a Battery Electric Energy Storage System (BESS) in wind generation can sm
Externí odkaz:
https://doaj.org/article/11fc62129044428d9ff33cc50e83d075
Publikováno v:
Journal of Engineering and Applied Research; Vol 7 No 2 (2022): Edição Especial em Inteligência Artificial; 108-117
Revista de Engenharia e Pesquisa Aplicada; v. 7 n. 2 (2022): Edição Especial em Inteligência Artificial; 108-117
Revista de Engenharia e Pesquisa Aplicada
Universidade Federal de Pernambuco (UFPE)
instacron:UFPE
Revista de Engenharia e Pesquisa Aplicada; v. 7 n. 2 (2022): Edição Especial em Inteligência Artificial; 108-117
Revista de Engenharia e Pesquisa Aplicada
Universidade Federal de Pernambuco (UFPE)
instacron:UFPE
Retention is one of the situations that can occur throughout the student’s academic life, which can be seen as an inefficiency of the brazilian educational system. Retention, in addition to causing waste of money in public higher education institut
Publikováno v:
Anais do XXXIII Simpósio Brasileiro de Informática na Educação (SBIE 2022).
A visualização de informações referentes aos dados de estudantes auxilia no processo de ensino-aprendizado. Logo, este artigo tem o objetivo de responder a seguinte questão: “Quais são as lacunas da literatura acerca dos trabalhos que apresen
Publikováno v:
Intelligent Systems Design and Applications ISBN: 9783030963071
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::231ea8601e5e72cb39e8f29e7a479304
https://doi.org/10.1007/978-3-030-96308-8_17
https://doi.org/10.1007/978-3-030-96308-8_17
Publikováno v:
Anais do IX Symposium on Knowledge Discovery, Mining and Learning (KDMiLe 2021).
The amount of sales in a store is a strong indicator that contributes to managers' decision making. In physical retail, unlike e-commerce, it is more difficult to collect sales and customer behavior metrics because it depends on great sensing and int