Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Eduardo R A Lima"'
Autor:
Natalia P Noyma, Leonardo de Magalhães, Marcela Miranda, Maíra Mucci, Frank van Oosterhout, Vera L M Huszar, Marcelo M Marinho, Eduardo R A Lima, Miquel Lürling
Publikováno v:
PLoS ONE, Vol 12, Iss 6, p e0178976 (2017)
Cyanobacteria blooms are a risk to environmental health and public safety due to the potent toxins certain cyanobacteria can produce. These nuisance organisms can be removed from water bodies by biomass flocculation and sedimentation. Here, we studie
Externí odkaz:
https://doaj.org/article/d57ad64b9a1a45a9afc7c6b2e14579f8
Autor:
Thales W. Cabral, Fernando B. Neto, Eduardo R. de Lima, Gustavo Fraidenraich, Luís G. P. Meloni
Publikováno v:
Sensors, Vol 24, Iss 15, p 4965 (2024)
Load recognition remains not comprehensively explored in Home Energy Management Systems (HEMSs). There are gaps in current approaches to load recognition, such as enhancing appliance identification and increasing the overall performance of the load-r
Externí odkaz:
https://doaj.org/article/7ff041bc78734b2aa0670b896e548b25
Autor:
Felipe M. Laburú, Thales W. Cabral, Felippe V. Gomes, Eduardo R. de Lima, José C. S. S. Filho, Luís G. P. Meloni
Publikováno v:
Energies, Vol 17, Iss 12, p 2889 (2024)
The dissolved gas analysis of insulating oil in power transformers can provide valuable information about fault diagnosis. Power transformer datasets are often imbalanced, worsening the performance of machine learning-based fault classifiers. A criti
Externí odkaz:
https://doaj.org/article/00a3e9267f3048598b7899e052d3d117
Autor:
Thales W. Cabral, Fernando B. Neto, Eduardo R. de Lima, Gustavo Fraidenraich, Luís G. P. Meloni
Publikováno v:
Sensors, Vol 24, Iss 7, p 2274 (2024)
Efficient energy management in residential environments is a constant challenge, in which Home Energy Management Systems (HEMS) play an essential role in optimizing consumption. Load recognition allows the identification of active appliances, providi
Externí odkaz:
https://doaj.org/article/8ff3c62240c54e08876979979023563a
Autor:
Gabriel A. De Oliveira, Larissa Medeiros De Almeida, Eduardo R. De Lima, Luis Geraldo P. Meloni
Publikováno v:
IEEE Access, Vol 11, Pp 45233-45242 (2023)
This paper introduces a new hyperspectral image denoising method called Non-local Convolutional Neural Network Denoiser (NL-CNND). The technique exploits data in four bands adjacent to the target one as additional information for the restoring proces
Externí odkaz:
https://doaj.org/article/8fcb3426f8a84f228f6905814e86048e
Autor:
Claudio Ferreira Dias, Juliane Regina de Oliveira, Lucas D. de Mendonça, Larissa M. de Almeida, Eduardo R. de Lima, Lucas Wanner
Publikováno v:
Sensors, Vol 21, Iss 18, p 6173 (2021)
The collapse of overhead power line guyed towers is one of the leading causes of power grid failures, subjecting electricity companies to pay considerable, high-value fines. In this way, the current work proposes a novel and complete framework for th
Externí odkaz:
https://doaj.org/article/89bc19c670614b10978eb340dabecdfd
Autor:
Andre Tavora de A. Silva, Claudio Ferreira Dias, Eduardo R. de Lima, Gustavo Fraidenraich, Gustavo Iervolino de Morais Eldorado
Publikováno v:
IEEE Electromagnetic Compatibility Magazine. 11:63-72
Publikováno v:
Sensors, Vol 20, Iss 2, p 520 (2020)
The use of large-scale antenna arrays grants considerable benefits in energy and spectral efficiency to wireless systems due to spatial resolution and array gain techniques. By assuming a dominant line-of-sight environment in a massive multiple-input
Externí odkaz:
https://doaj.org/article/5927c3c02eaa4d4aa68588fa9db15fe3
Autor:
Juliane Regina De Oliveira, Claudio Ferreira Dias, Eduardo R. De Lima, Larissa M. De Almeida, Lucas Wanner
Publikováno v:
2022 25th International Conference on Information Fusion (FUSION).