Slika na naslovnici

Artificial Intelligence, Optimization, and Data Sciences in Sports

This book delves into the dynamic intersection of data science, data mining, machine learning, and optimization within sports. It compiles and presents the latest achievements in this vibrant and emerging research area, offering a comprehensive overview of how these technologies revolutionize sports...

Popoln opis

Shranjeno v:
Bibliografske podrobnosti
Korporativna značnica: SpringerLink (Online service)
Drugi avtorji: Blondin, Maude J. (Editor), Fister Jr., Iztok (Editor), Pardalos, Panos M. (Editor)
Format: Elektronski eKnjiga
Jezik:angleščina
Izdano: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Izdaja:1st ed. 2025.
Serija:Springer Optimization and Its Applications, 218
Teme:
Mathematical optimization.
Artificial intelligence.
Quantitative research.
Optimization.
Artificial Intelligence.
Data Analysis and Big Data.
Online dostop:https://doi.org/10.1007/978-3-031-76047-1
Oznake: Označite
Brez oznak, prvi označite!
Kazalo:
  • 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.

Podobne knjige/članki