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Finding the needle in the haystack of isokinetic knee data: Random Forest modelling improves information about ACLR-related deficiencies.

Autor: Nolte K; Institute for Sports and Sport Science, TU Dortmund University, Dortmund, Germany., Gerharz A; Department of Statistics, TU Dortmund University, Dortmund, Germany., Jaitner T; Institute for Sports and Sport Science, TU Dortmund University, Dortmund, Germany., Knicker AJ; Institute of Movement and Neuroscience, German Sport University Cologne, Cologne, Germany., Alt T; Department of Biomechanics, Performance Analysis and Strength & Conditioning, Olympic Training & Testing Centre Westphalia, Dortmund, Germany.

Publikováno v: Journal of sports sciences [J Sports Sci] 2024 Dec 22, pp. 1-9. Date of Electronic Publication: 2024 Dec 22.

Numerical and random forest modelling of the impact response of hierarchical auxetic structures

Autor: Tajalsir, Ahmed Haytham, Mustapha, K.B., Ibn-Mohammed, T.

Publikováno v: In Materials Today Communications June 2022 31

Building a macrosystems ecology framework to identify links between environmental and human health: A random forest modelling approach

Autor: Felisha N. Walls, Daniel J. McGarvey

Publikováno v: People and Nature, Vol 5, Iss 1, Pp 183-197 (2023)

Abstract Anthropogenic activities that degrade natural ecosystems may also impact human health. However, research on the links between human and environmental health has most often been conducted at small scales (e.g. individual cities) and cannot ea

Externí odkaz: https://doaj.org/article/d9e701786397403c9cd24f45519ef3b6