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Book
Machine Learning in Sports : Identifying Potential Archers
Authors: --- --- ---
ISBN: 9811325928 981132591X Year: 2019 Publisher: Singapore : Springer Singapore : Imprint: Springer,

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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.


Book
Machine Learning in Team Sports : Performance Analysis and Talent Identification in Beach Soccer & Sepak-takraw
Authors: --- --- ---
ISBN: 9811532192 9811532184 Year: 2020 Publisher: Singapore : Springer Singapore : Imprint: Springer,

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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. .


Book
Machine Learning in Sports
Authors: --- --- --- ---
ISBN: 9789811325922 Year: 2019 Publisher: Singapore Springer Singapore :Imprint: Springer

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Book
Machine Learning in Aquaculture : Hunger Classification of Lates calcarifer
Authors: --- --- --- --- --- et al.
ISBN: 9811522375 9811522367 Year: 2020 Publisher: Singapore : Springer Singapore : Imprint: Springer,

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This book highlights the fundamental association between aquaculture and engineering in classifying fish hunger behaviour by means of machine learning techniques. Understanding the underlying factors that affect fish growth is essential, since they have implications for higher productivity in fish farms. Computer vision and machine learning techniques make it possible to quantify the subjective perception of hunger behaviour and so allow food to be provided as necessary. The book analyses the conceptual framework of motion tracking, feeding schedule and prediction classifiers in order to classify the hunger state, and proposes a system comprising an automated feeder system, image-processing module, as well as machine learning classifiers. Furthermore, the system substitutes conventional, complex modelling techniques with a robust, artificial intelligence approach. The findings presented are of interest to researchers, fish farmers, and aquaculture technologist wanting to gain insights into the productivity of fish and fish behaviour.


Book
Recent trends in mechatronics towards Industry 4.0 : selected articles from iM3F 2020, Malaysia
Authors: --- --- --- --- --- et al.
ISBN: 9813345977 9813345969 Year: 2022 Publisher: Singapore : Springer,

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Hybrid Manta Ray Foraging - Particle Swarm Algorithm for PD Control Optimization of an Inverted Pendulum.- Multi-Objective Particle Swarm Optimization with Alternate Learning Strategies.- Self-Directed Mobile Robot Path Finding in Static Indoor Environment by Explicit Group Modified AOR Iteration.- Position and Swing Angle Control of Nonlinear Gantry Crane System.

Keywords

Mechatronics


Book
Machine Learning in Team Sports
Authors: --- --- --- ---
ISBN: 9789811532191 Year: 2020 Publisher: Singapore Springer Singapore :Imprint: Springer


Multi
Machine Learning in Team Sports
Authors: --- --- --- ---
ISBN: 9789811532191 Year: 2020 Publisher: Singapore Springer Singapore :Imprint: Springer

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Abstract

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. .


Digital
Machine Learning in Aquaculture : Hunger Classification of Lates calcarifer
Authors: --- --- --- --- --- et al.
ISBN: 9789811522376 Year: 2020 Publisher: Singapore Springer Singapore, Imprint: Springer

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Abstract

This book highlights the fundamental association between aquaculture and engineering in classifying fish hunger behaviour by means of machine learning techniques. Understanding the underlying factors that affect fish growth is essential, since they have implications for higher productivity in fish farms. Computer vision and machine learning techniques make it possible to quantify the subjective perception of hunger behaviour and so allow food to be provided as necessary. The book analyses the conceptual framework of motion tracking, feeding schedule and prediction classifiers in order to classify the hunger state, and proposes a system comprising an automated feeder system, image-processing module, as well as machine learning classifiers. Furthermore, the system substitutes conventional, complex modelling techniques with a robust, artificial intelligence approach. The findings presented are of interest to researchers, fish farmers, and aquaculture technologist wanting to gain insights into the productivity of fish and fish behaviour.


Digital
Data Mining and Machine Learning in High-Performance Sport : Performance Analysis of On-field and Video Assistant Referees in European Soccer Leagues
Authors: --- --- --- ---
ISBN: 9789811970498 9789811970481 9789811970504 Year: 2022 Publisher: Singapore Springer Nature

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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.


Multi
Innovation and Technology in Sports
Authors: --- --- --- --- --- et al.
ISBN: 9789819902972 9789819902965 9789819902989 9789819902996 Year: 2023 Publisher: Singapore Springer Nature Singapore :Imprint: Springer

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This book presents the proceedings of ICITS 2022 covering different tracks in the field of Sports Engineering and Technology, namely, Instrumentation, Materials, Data Analytics, Biomechanics, Simulation, Equipment Design and Performance Analysis, amongst others. This collection of articles deliberates the key challenges as well as technological innovations that facilitate the enhancement of sporting performance. The readers are expected to gain an insightful view on the current trends, issues, mitigating factors, technological innovations as well as proposed solutions.

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