Zobrazeno 1 - 10
of 359
pro vyhledávání: '"António A. Monteiro"'
Publikováno v:
NeoBiota, Vol 96, Iss , Pp 191-210 (2024)
Early detection of invasive species is crucial to prevent biological invasions. To increase the success of detection efforts, it is often essential to know when key phenological stages of invasive species are reached. This includes knowing, for examp
Externí odkaz:
https://doaj.org/article/60c44b0518c44166a28e440730fe95ff
Autor:
José E. Teixeira, Samuel Encarnação, Luís Branquinho, Ricardo Ferraz, Daniel L. Portella, Diogo Monteiro, Ryland Morgans, Tiago M. Barbosa, António M. Monteiro, Pedro Forte
Publikováno v:
Frontiers in Psychology, Vol 15 (2024)
IntroductionA promising approach to optimizing recovery in youth football has been the use of machine learning (ML) models to predict recovery states and prevent mental fatigue. This research investigates the application of ML models in classifying m
Externí odkaz:
https://doaj.org/article/98332fbc9ce74d5da655e3899975e35f
Autor:
José E. Teixeira, Luís Branquinho, Miguel Leal, Ryland Morgans, Andrew Sortwell, Tiago M. Barbosa, António M. Monteiro, Pedro Afonso, Guilherme Machado, Samuel Encarnação, Ricardo Ferraz, Pedro Forte
Publikováno v:
Journal of Functional Morphology and Kinesiology, Vol 9, Iss 3, p 120 (2024)
The aim of this study was to analyze the match-to-match variation in high-intensity demands from one Portuguese professional football team according to playing positions. Twenty-three male outfield professional football players were observed during e
Externí odkaz:
https://doaj.org/article/ff225d817a834531895c64ec7de497b1
Autor:
José Eduardo Teixeira, Luís Branquinho, Ricardo Ferraz, Ryland Morgans, Samuel Encarnação, Joana Ribeiro, Pedro Afonso, Nemat Ruzmetov, Tiago M. Barbosa, António M. Monteiro, Pedro Forte
Publikováno v:
Sports, Vol 12, Iss 7, p 194 (2024)
Utilizing techniques for reducing multivariate data is essential for comprehensively understanding the variations and relationships within both biomechanical and physiological datasets in the context of youth football training. Therefore, the objecti
Externí odkaz:
https://doaj.org/article/95064d3e150e4c189e0d728989c9ab42
Autor:
Mota, Guilherme Pereira, da Silva, Antonio Henrique Monteiro da Fonseca Thome, da Rocha, Elisson Brum Dutra, da Silva, Ana Lucia Nazareth
Publikováno v:
In Applied Ocean Research March 2024 144
Publikováno v:
RevSALUS, Vol 5, Iss Supii (2024)
Introdução: A utilização de creatina como suplemento durante a prática de atividade física tem sido extensivamente debatida como uma estratégia adotada para aprimorar o rendimento desportivo. (Bemben & Lamont et al., 2005; Branch et al., 2003)
Externí odkaz:
https://doaj.org/article/6c0e325e284a400988d80ab6b94d4d75
Autor:
Tatiana Sampaio, Jorge Estrela Morais, Daniel Almeida Marinho, Tiago Manuel Barbosa, António Miguel Monteiro, Pedro Forte
Publikováno v:
Motricidade, Vol 19, Iss 4 (2024)
In cycling, drag is the force that opposes the cyclist's motion and is caused by the cyclist's and their equipment's interaction with the air. The surface area of the cyclist and their equipment, such as the bike, helmet and body postures, have a sub
Externí odkaz:
https://doaj.org/article/e2dc6f2a4ee940ffa8b63b0fbacbece9
Akademický článek
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Autor:
José E. Teixeira, Samuel Encarnação, Luís Branquinho, Ryland Morgans, Pedro Afonso, João Rocha, Francisco Graça, Tiago M. Barbosa, António M. Monteiro, Ricardo Ferraz, Pedro Forte
Publikováno v:
Journal of Functional Morphology and Kinesiology, Vol 9, Iss 3, p 114 (2024)
The aim of this study was to test a machine learning (ML) model to predict high-intensity actions and body impacts during youth football training. Sixty under-15, -17, and -19 sub-elite Portuguese football players were monitored over a 6-week period.
Externí odkaz:
https://doaj.org/article/ad01edf976fd45ad81b1ec578099b8e7
Akademický článek
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