Zobrazeno 1 - 10
of 1 383
pro vyhledávání: '"Luiz Affonso"'
Autor:
Lucileide M. D. da Silva, Sérgio N. Silva, Luísa C. de Souza, Karolayne S. de Azevedo, Luiz Affonso Guedes, Marcelo A. C. Fernandes
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 6, Iss 2, Pp 736-750 (2024)
The literature on ECG delineation algorithms has seen significant growth in recent decades. However, several challenges still need to be addressed. This work aims to propose a lightweight R-peak-detection algorithm that does not require pre-setting a
Externí odkaz:
https://doaj.org/article/8d053ddea91142e387fe3756efa3cb7e
Publikováno v:
IEEE Access, Vol 12, Pp 13795-13808 (2024)
Many applications and fields produce a vast quantity of time-relevant or continuously changing data which may represent new phenomena. This data stream behavior is known as Concept Drift. The need to efficiently and accurately process online data str
Externí odkaz:
https://doaj.org/article/5e02aa854ada45aa94f705d6f2edee1d
Autor:
Jusciaane Chacon Vieira, Luiz Affonso Guedes, Mailson Ribeiro Santos, Ignacio Sanchez-Gendriz
Publikováno v:
Sensors, Vol 23, Iss 24, p 9871 (2023)
Epilepsy is a condition that affects 50 million individuals globally, significantly impacting their quality of life. Epileptic seizures, a transient occurrence, are characterized by a spectrum of manifestations, including alterations in motor functio
Externí odkaz:
https://doaj.org/article/f935ae02b29f49668ef0b90a16284a57
Autor:
Lucileide M. D. Da Silva, Maria G. F. Coutinho, Carlos E. B. Santos, Mailson R. Santos, M. Dolores Ruiz, Luiz Affonso Guedes, Marcelo A. C. Fernandes
Publikováno v:
IEEE Access, Vol 9, Pp 103141-103152 (2021)
The amount of data in real-time, such as time series and streaming data, available today continues to grow. Being able to analyze this data the moment it arrives can bring an immense added value. However, it also requires a lot of computational effor
Externí odkaz:
https://doaj.org/article/3b0f8f8e78a7456785a46f87167e6d10
Autor:
Fernanda Silva dos Santos, Luiz Affonso de Paula Junior, Gabriel Farias Araujo, Wellington Thadeu de Alcantara Azevedo, Steven Dutt Ross, Natascha Krepsky
Publikováno v:
Fronteiras: Journal of Social, Technological and Environmental Science, Vol 9, Iss 1, Pp 53-72 (2020)
Fecal enterococci are generally not virulent; however, multidrug-resistant strains have emerged as leading causes of hospital-acquired infections. Thus, periodic enterococci monitoring should be included in highly populated cities to control the diss
Externí odkaz:
https://doaj.org/article/04ebbef6e0f54650975c456ce53c08c2
Autor:
Natascha Krepsky, Karine Peixoto Nunes, Luiz Affonso de Paula Junior, Viviane Almeida de Andrade Lino, Clarissa Araujo Costa Naveira e Silva, Iracema Prestes Brandão, Fernanda Silva dos Santos
Publikováno v:
Fronteiras: Journal of Social, Technological and Environmental Science, Vol 9, Iss 1, Pp 32-52 (2020)
Coastal contamination became a growing public health concern. Enteric illness outbreaks, and the occurrence of dermatitis and mycoses during the summer season in leisure areas, were usually related to seawater pollution. Pathogenic microorganisms can
Externí odkaz:
https://doaj.org/article/b5b5950b8bbc442fa2777ce73c37f5bc
Publikováno v:
Applied Sciences, Vol 12, Iss 14, p 7161 (2022)
This paper proposes a new evolving algorithm named Macro SOStream with entirely online learning and based on self-organizing density for data stream clustering. The Macro SOStream is based on the SOStream algorithm, but we incorporate macroclusters c
Externí odkaz:
https://doaj.org/article/a21fb229bb324960b85963c981164d44
Publikováno v:
Sensors, Vol 15, Iss 5, Pp 9703-9740 (2015)
Wireless communication is a trend nowadays for the industrial environment. A number of different technologies have emerged as solutions satisfying strict industrial requirements (e.g., WirelessHART, ISA100.11a, WIA-PA). As the industrial environment
Externí odkaz:
https://doaj.org/article/7390a0bcb2474162ba2d6e12ee5b0e99
Publikováno v:
Sensors, Vol 15, Iss 1, Pp 1760-1784 (2015)
The development of wireless sensor networks for control and monitoring functions has created a vibrant investigation scenario, where many critical topics, such as communication efficiency and energy consumption, have been investigated in the past few
Externí odkaz:
https://doaj.org/article/44ca0be17b034cc79c68968f79564a88
Publikováno v:
Education Sciences, Vol 9, Iss 4, p 275 (2019)
Predicting school dropout rates is an important issue for the smooth execution of an educational system. This problem is solved by classifying students into two classes using educational activities related statistical datasets. One of the classes mus
Externí odkaz:
https://doaj.org/article/ab14de0a110043ee8ad7162cf25c5801