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Author: Rabiu Muazu Musa
Publisher: Springer Nature
ISBN: 9811631921
Category : Computers
Languages : en
Pages : 58
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Book Description
This brief highlights the use of various Machine Learning (ML) algorithms to evaluate training and competitional strategies in Volleyball, as well as to identify high-performance players in the sport. Several psychological elements/strategies coupled with human performance parameters are discussed in view to ascertain their impact on performance in elite Volleyball competitions. It presents key performance indicators as well as human performance parameters that can be used in future evaluation of team performance and players. The details outlined in this brief are vital to coaches, club managers, talent identification experts, performance analysts as well as other important stakeholders in the evaluation of performance and to foster improvement in this sport.
Author: Rabiu Muazu Musa
Publisher: Springer Nature
ISBN: 9811631921
Category : Computers
Languages : en
Pages : 58
Get Book Here
Book Description
This brief highlights the use of various Machine Learning (ML) algorithms to evaluate training and competitional strategies in Volleyball, as well as to identify high-performance players in the sport. Several psychological elements/strategies coupled with human performance parameters are discussed in view to ascertain their impact on performance in elite Volleyball competitions. It presents key performance indicators as well as human performance parameters that can be used in future evaluation of team performance and players. The details outlined in this brief are vital to coaches, club managers, talent identification experts, performance analysts as well as other important stakeholders in the evaluation of performance and to foster improvement in this sport.
Author: Rabiu Muazu Musa
Publisher: Springer Nature
ISBN: 9811970491
Category : Technology & Engineering
Languages : en
Pages : 63
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Book Description
This book explores the application of data mining and machine learning techniques in studying the activity pattern, decision-making skills, misconducts, and actions resulting in the intervention of VAR in European soccer leagues referees. The game of soccer at the elite level is characterised by intense competitions, a high level of intensity, technical, and tactical skills coupled with a long duration of play. Referees are required to officiate the game and deliver correct and indisputable decisions throughout the duration of play. The increase in the spatial and temporal task demands of the game necessitates that the referees must respond and cope with the physiological and psychological loads inherent in the game. The referees are also required to deliver an accurate decision and uphold the rules and regulations of the game during a match. These demands and attributes make the work of referees highly complex. The increasing pace and complexity of the game resulted in the introduction of the Video Assistant Referee (VAR) to assist and improve the decision-making of on-field referees. Despite the integration of VAR into the current refereeing system, the performances of the referees are yet to be error-free. Machine learning coupled with data mining techniques has shown to be vital in providing insights from a large dataset which could be used to draw important inferences that can aid decision-making for diagnostics purposes and overall performance improvement. A total of 6232 matches from 5 consecutive seasons officiated across the English Premier League, Spanish LaLiga, Italian Serie A as well as the German Bundesliga was studied. It is envisioned that the findings in this book could be useful in recognising the activity pattern of top-class referees, that is non-trivial for the stakeholders in devising strategies to further enhance the performances of referees as well as empower talent identification experts with pertinent information for mapping out future high-performance referees.
Author: Arnold Baca
Publisher: Springer Nature
ISBN: 3031317726
Category : Technology & Engineering
Languages : en
Pages : 197
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Book Description
This book discovers the latest research and insights in sports performance analysis and computer science in sports with the 13th World Congress of Performance Analysis of Sport and 13th International Symposium on Computer Science in Sport joint conference proceedings. This comprehensive book features over 40 peer-reviewed scientific works, showcasing the latest developments in these areas. The book covers a wide range of topics, including data analytics in sports, performance tracking and monitoring, artificial intelligence and machine learning in sports, virtual and augmented reality in sports, sensor technology, sports biomechanics, and motor control. By reading this book, you'll gain a deeper understanding of how applied and research-based problems can, together, transform the world of sports, and how you can stay ahead of the curve in this rapidly evolving field. This means that whether you're a researcher, coach, athlete, or sports enthusiast, there is something for everyone in this book.
Author: Nirav Joshi
Publisher: Springer Nature
ISBN: 9819903939
Category : Science
Languages : en
Pages : 306
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Book Description
This book presents recent advancements of machine learning methods and their applications in material science and nanotechnologies. It provides an introduction to the field and for those who wish to explore machine learning in modeling as well as conduct data analyses of material characteristics. The book discusses ways to enhance the material’s electrical and mechanical properties based on available regression methods for supervised learning and optimization of material attributes. In summary, the growing interest among academics and professionals in the field of machine learning methods in functional nanomaterials such as sensors, solar cells, and photocatalysis is the driving force for behind this book. This is a comprehensive scientific reference book on machine learning for advanced functional materials and provides an in-depth examination of recent achievements in material science by focusing on topical issues using machine learning methods.
Author: NSCA -National Strength & Conditioning Association
Publisher: Human Kinetics
ISBN: 1492593362
Category : Sports & Recreation
Languages : en
Pages : 576
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Book Description
Within the domain of sport, the application of science is more apparent than ever before. Not only are universities and academic institutions scientifically investigating sport as one element of human performance, but professional teams, sporting organizations, and private training companies are embracing approaches that use scientific principles to help their athletes and teams gain a competitive edge in sporting competition. The potential for applying science to sport training and sport performance is vast. There is a demand for sport scientists who can collect and convert data into valuable information—information that drives decision making and directly influences performance outcomes. To address this growing need, the world-renowned National Strength and Conditioning Association developed the Certified Performance and Sport Scientist (CPSS) certification, along with the must-have reference for anyone in the field. NSCA’s Essentials of Sport Science features contributions from 52 globally recognized experts and thought leaders from the field of sport science. It is the only resource to go beyond sport science’s foundations—physiology, biochemistry, biomechanics, nutrition, and skill acquisition—to address the use of statistics and broader fields of data science, analytics, and technology management. Readers will explore every aspect of the sport scientist’s role: understanding training theory, performing needs analyses, conducting athlete monitoring and assessment, managing data and analytics, and educating and disseminating information. The integration of these technical skills will guide sport scientists in drawing conclusions that can be used to manipulate training methods and shape competition strategies for the betterment of athletes’ health, well-being, and performance. NSCA’s Essentials of Sport Science offers a holistic overview of the technical expertise, skills, and knowledge required to operate effectively as a modern-day sport scientist. Further, it will help prepare candidates for the NSCA’s CPSS certification exam and aid all sport scientists in acquiring and using the best available evidence—at the right time, in the right environment, and for the right individual—to maximize their performance.
Author: Ulf Brefeld
Publisher: Springer Nature
ISBN: 3031275276
Category : Computers
Languages : en
Pages : 135
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Book Description
This book constitutes the refereed proceedings of the 9th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2022, held in Grenoble, France, during September 19, 2022. The 10 full papers included in this book were carefully reviewed and selected from 18 submissions. They were organized in topical sections as follows: Football, Racket sports, Cycling.
Author: Rabiu Muazu Musa
Publisher: Springer Nature
ISBN: 9811532192
Category : Technology & Engineering
Languages : en
Pages : 68
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Book Description
This brief highlights the application of performance analysis tools in data acquisition, and various machine learning algorithms for evaluating team performance as well as talent identification in beach soccer and sepak takraw. Numerous performance indicators and human performance parameters are considered based on their relevance to each sport. The findings presented here demonstrate that the key performance indicators as well as human performance parameters can be used in the future evaluation of team performance as well as talent identification in these sports. Accordingly, they offer a valuable resource for coaches, club managers, talent identification experts, performance analysts and other relevant stakeholders involved in performance assessments.
Author: Matteo Zago
Publisher: Frontiers Media SA
ISBN: 2889665615
Category : Science
Languages : en
Pages : 328
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Book Description
Author: Rabiu Muazu Musa
Publisher: Springer
ISBN: 9811325928
Category : Technology & Engineering
Languages : en
Pages : 53
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Book Description
This brief highlights the association of different performance variables that influences archery performance and the employment of different machine learning algorithms in the identification of potential archers. The sport of archery is often associated with a myriad of performance indicators namely bio-physiological, psychological, anthropometric as well as physical fitness. Traditionally, the determination of potential archers is carried out by means of conventional statistical techniques. Nonetheless, such methods often fall short in associating non-linear relationships between the variables. This book explores the notion of machine learning that is capable of mitigating the aforesaid issue. This book is valuable for coaches and managers in identifying potential archers during talent identification programs.
Author: Carlo Dindorf
Publisher: Springer Nature
ISBN: 3031672569
Category :
Languages : en
Pages : 266
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Book Description
