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Ergebnis der Suche nach: "Machine Learning"
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Link zu diesem Datensatz | https://d-nb.info/1355028558 |
Titel | Artificial Intelligence, Optimization, and Data Sciences in Sports / edited by Maude J. Blondin, Iztok Fister Jr., Panos M. Pardalos |
Person(en) |
Blondin, Maude J. (Herausgeber) Fister, Iztok, Jr. (Herausgeber) Pardalos, Panos M. (Herausgeber) |
Organisation(en) | SpringerLink (Online service) (Sonstige) |
Ausgabe | 1st ed. 2025 |
Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
Zeitliche Einordnung | Erscheinungsdatum: 2025 |
Umfang/Format | Online-Ressource, XI, 353 p. 60 illus., 50 illus. in color. : online resource. |
Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-031-76046-4 Printed edition:: ISBN: 978-3-031-76048-8 Printed edition:: ISBN: 978-3-031-76049-5 |
Inhalt | Chapter 1. Artificial Intelligence, Optimization, and Data Sciences in Sports: Editorial -- Chapter 2. Machine Learning for Soccer Match Result Prediction -- Chapter 3. Machine learning for prediction of the index of effec-tiveness in cycling -- Chapter 4. Machine Learning in Biomechanics: Key Applications and Limitations in Walking, Running, and Sports Movements -- Chapter 5. Artificial Intelligence & Machine Learning-Based Data Analytics for Sports. General Overview & NBA Case Study -- Chapter 6. An ecological dynamics approach to the use of Artificial Intelligence and Machine Learning to analyse performance in football -- Chapter 7. A Supervised Learning Approach for Evaluating Football Performances -- Chapter 8. Bridging Route based Cycling Training with Digital Twins -- Chapter 9. Perspectives of Artificial Intelligence in Training and Exercise -- Chapter 10. A fuzzy model for optimise the football rule assuring spectacle, fair play, objectivity and ethics -- Chapter 11. Physical Efficiency in Soccer: Relevance, Correlations and Impacts using AI Methods -- Chapter 12. A PageRank-Based Method for College Football Recruiting Rankings -- Chapter 13. APPLICATIONS OF IMPROVEMENTS TO THE PYTHAGOREAN WON-LOST EXPECTATION IN OPTIMIZING ROSTERS |
Persistent Identifier |
URN: urn:nbn:de:101:1-2501311335318.180467021439 DOI: 10.1007/978-3-031-76047-1 |
URL | https://doi.org/10.1007/978-3-031-76047-1 |
ISBN/Einband/Preis | 978-3-031-76047-1 |
Sprache(n) | Englisch (eng) |
Beziehungen | Springer Optimization and Its Applications ; 218 |
Sachgruppe(n) | 510 Mathematik |
Online-Zugriff | Archivobjekt öffnen |
