• Contact

  • Newsletter

  • About us

  • Delivery options

  • Prospero Book Market Podcast

  • 'Language is english. Váltás magyarra.'
    Wishlist
    Machine Learning in Youth Badminton: Predictive Analytics for Talent Detection and Individualised Training

    Machine Learning in Youth Badminton by Muazu Musa, Rabiu ; P. P. Abdul Majeed, Anwar ;

    Predictive Analytics for Talent Detection and Individualised Training

    Series: SpringerBriefs in Applied Sciences and Technology;

      • GET 20% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice EUR 53.49
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        20 893 Ft (19 898 Ft + 5% VAT)
      • Discount 20% (cc. 4 179 Ft off)
      • Discounted price 16 714 Ft (15 918 Ft + 5% VAT)
      • Discount is valid until: 30 June 2026

    18 386 Ft

    db

    Availability

    Not yet published.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Long description:

    This book explores the application of machine learning techniques to model the interplay between psycho-physiological, anthropometric, and fitness variables in youth badminton athletes. The data presented in this book were collected across multiple youth badminton development programs, encompassing a broad spectrum of athletes aged 11 to 17. Key parameters include maturity offset, neuromuscular fitness (e.g., jump performance, balance, coordination), psychological indicators (e.g., training and competitive strategies), and internal/external training loads. Through classification models, clustering techniques, and predictive analytics, the book examines how these variables interact to inform talent identification and design individualised training strategies. The findings from this work are envisioned to support evidence-based decision-making for coaches, sport scientists, and talent development experts by offering actionable insights into the profiling, monitoring, and development of youth badminton players. This approach holds promise for enhancing athlete development pipelines, minimising injury risk, and facilitating early identification of future elite badminton players.

    More

    Table of Contents:

    Introduction.- Maturity Status as a Predictor of Fitness Efficiency and Neuromotor Control in Youth Badminton Players.- Decision Tree Model for Designing Training Programs in Young Badminton Players Based on Bio-Fitness and Motor Ability Parameters.- Classification of External Load Based on Fitness and Motor Ability Parameters in Youth Badminton.- Identification of Important Anthropometric, Fitness and Motor Ability Parameters for Young Badminton Players.- Essential Competitive and Training Psychological Strategies for Performance in Young Badminton Players.- Fitness and Motor Ability Parameters in Classifying Winners and Losers During Badminton Match Play.- Concluding Remarks.

    More
    0