Zobrazeno 1 - 10
of 80
pro vyhledávání: '"André Eugênio Lazzaretti"'
Autor:
André Eugênio Lazzaretti, Clayton Hilgemberg da Costa, Marcelo Paludetto Rodrigues, Guilherme Dan Yamada, Gilberto Lexinoski, Guilherme Luiz Moritz, Elder Oroski, Rafael Eleodoro de Goes, Robson Ribeiro Linhares, Paulo Cézar Stadzisz, Júlio Shigeaki Omori, Rodrigo Braun dos Santos
Publikováno v:
Sensors, Vol 20, Iss 17, p 4688 (2020)
Photovoltaic (PV) energy use has been increasing recently, mainly due to new policies all over the world to reduce the application of fossil fuels. PV system efficiency is highly dependent on environmental variables, besides being affected by several
Externí odkaz:
https://doaj.org/article/f99186aa425e48fab28bd6a707d488bc
Publikováno v:
Learning and Nonlinear Models. 21:5-18
This work approaches the problem of estimating the Kautz optimal poles in kernel expansion in Wiener-Volterra models. The analytical solution for the suboptimal case is already established in the literature. However, the solution for the two paramete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebbf3f0ee215b0bedae0107d0cfd49dc
https://doi.org/10.21528/lnlm-vol21-no1-art1
https://doi.org/10.21528/lnlm-vol21-no1-art1
Autor:
André Eugênio Lazzaretti, Carlos Rafael Guerber, Anelise Munaretto, Mauro Fonseca, Eduardo Luis Gomes
Publikováno v:
IEEE Sensors Journal. 22:5141-5149
Object location in indoor environments is challenging when there is no physical contact, a field of view, reflective materials, and an excess of obstacles. Several works propose using Radio Frequency Identification technology (RFID) and machine learn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25be88457a732697b14fa041bd9de53b
https://doi.org/10.1109/jsen.2021.3103043
https://doi.org/10.1109/jsen.2021.3103043
Publikováno v:
IEEE Transactions on Smart Grid. 13:1372-1382
The use of synchrophasor data is recurrent in electrical power systems and has an increasing demand in distribution networks. The quality of this data can directly influence later stages related to decision-making. In this sense, this work presents t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b852d96dfdc4e6a7c3cb98f91cd8538b
https://doi.org/10.1109/tsg.2021.3126268
https://doi.org/10.1109/tsg.2021.3126268
Autor:
Paulo Broniera Júnior, Daniel Prado Campos, André Eugênio Lazzaretti, Percy Nohama, Aparecido Augusto Carvalho, Eddy Krueger, Marcelo Carvalho Minhoto Teixeira
Publikováno v:
Research on Biomedical Engineering. 38:689-699
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91d5deed1e7d21869804dcd113e45f54
https://doi.org/10.1007/s42600-021-00189-6
https://doi.org/10.1007/s42600-021-00189-6
Publikováno v:
IEEE Sensors Journal. 22:501-509
In the subsequent decades, the increasing energy will demand renewable resources and intelligent solutions for managing consumption. In this sense, Non-Intrusive Load Monitoring (NILM) techniques detail consumption information for users, allowing bet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ae0f35832f531eddff9842e9203f03c
https://doi.org/10.1109/jsen.2021.3127322
https://doi.org/10.1109/jsen.2021.3127322
Autor:
José Jair Alves Mendes Junior, Daniel Prado Campos, Lorenzo Coelho de Andrade Villela De Biassio, Pedro Carlin Passos, Paulo Broniera Júnior, André Eugênio Lazzaretti, Eddy Krueger
Publikováno v:
Electronics
Volume 12
Issue 4
Pages: 833
Volume 12
Issue 4
Pages: 833
Acquiring biopotentials with fidelity using low-cost circuits is a significant challenge in biomedical instrumentation. In this perspective, our goal is to investigate the characteristics of the widely applied AD8232®, an analog front-end for biopot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00a914d6ffb8533695c61d978b6d3fb4
Publikováno v:
IEEE Access, Vol 9, Pp 137029-137041 (2021)
Automatically understanding and describing the visual content of videos in natural language is a challenging task in computer vision. Existing approaches are often designed to describe single events in a closed-set setting. However, in real-world sce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6de2207426e44fbfc37173a4e3e1d322
https://ieeexplore.ieee.org/document/9552885/
https://ieeexplore.ieee.org/document/9552885/
Autor:
Paulo José Abatti, André Eugênio Lazzaretti, Daniel Prado Campos, João Ari Gualberto Hill, Fabio Luiz Bertotti, Otavio Augusto Gomes, André Luís Finkler da Silveira
Publikováno v:
IEEE Sensors Journal. 20:7199-7207
Monitoring the ingestive behavior, especially rumination and eating, is important to assess animals’ health, welfare, needs, and to estimate production efficiency. In this paper, the myographic response of masticatory muscles was acquired from cows
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc454a9ce3f504e842e4a52ae702c446
https://doi.org/10.1109/jsen.2020.2977768
https://doi.org/10.1109/jsen.2020.2977768
Publikováno v:
Neural Computing and Applications. 33:1207-1220
Human action recognition (HAR) is a topic widely studied in computer vision and pattern recognition. Despite the success of recent models for this issue, most of them approach HAR from the closed-set perspective. The closed-set recognition works unde
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebe6cce3f3ee66eee5ccdab693f7713b
https://doi.org/10.1007/s00521-020-05009-z
https://doi.org/10.1007/s00521-020-05009-z