Rezultati
eNauka >
Rezultati >
A Machine Learning Approach to Finding the Fastest Race Course for Professional Athletes Competing in Ironman® 70.3 Races between 2004 and 2020
| Naziv: | A Machine Learning Approach to Finding the Fastest Race Course for Professional Athletes Competing in Ironman® 70.3 Races between 2004 and 2020 | Autori: | Thuany, Mabliny; Valero, David; Villiger, Elias; Forte, Pedro; Weiss, Katja; Nikolaidis, Pantelis T.; Andrade, Marília Santos; Cuk, Ivan |
Godina: | 2023 | Publikacija: | International Journal of Environmental Research and Public Health | ISSN: | 1660-4601 International Journal of Environmental Research and Public Health Pretraži identifikator |
Tip rezultata: | Naučni članak | Kolacija: | vol. 20 br. 4 str. 3619-3619 | DOI: | 10.3390/ijerph20043619 | Scopus-ID: | 2-s2.0-85148965757 | PMID: | 36834311 | PMCID: | PMC9963404 | URI: | https://enauka.gov.rs/handle/123456789/796051 | Izvor metapodataka: | (Preuzeto iz CrossRef-a) Ćuk, Ivan | M-kategorija: | 21M21 - Vodeći međunarodni časopis kategorije M21 |
Rezultati na eNauka su zaštićeni autorskim pravima i sva prava su zadržana, osim ako nije drugačije naznačeno.