Listing 1 - 10 of 15 | << page >> |
Sort by
|
Choose an application
Volleyball --- Machine learning. --- Data processing. --- Learning, Machine --- Artificial intelligence --- Machine theory --- Ball games --- Voleibol --- Processament de dades --- Aprenentatge automàtic --- Aprenentatge (Intel·ligència artificial) --- Aprenentatge estadístic --- Teoria de l'aprenentatge estadístic --- Intel·ligència artificial --- Teoria de màquines --- Aprenentatge per reforç (Intel·ligència artificial) --- Sistemes classificadors (Intel·ligència artificial) --- Processament de dades electròniques --- Processament automàtic de dades --- Processament electrònic de dades --- Processament integrat de dades --- Sistematització de dades (Ordinadors) --- Tractament de dades --- Tractament electrònic de dades --- Tractament integrat de dades --- Automatització --- Informàtica --- Complexitat computacional --- Curació de dades --- Depuració (Informàtica) --- Estructures de dades (Informàtica) --- Gestió de bases de dades --- Informàtica mòbil --- Informàtica recreativa --- Sistemes en línia --- Temps real (Informàtica) --- Tractament del llenguatge natural (Informàtica) --- Processament òptic de dades --- Protecció de dades --- Transmissió de dades --- Tolerància als errors (Informàtica) --- Jocs de pilota
Choose an application
Data mining. --- Machine learning. --- Soccer --- Tournaments. --- Sports tournaments --- Learning, Machine --- Artificial intelligence --- Machine theory --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching
Choose an application
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.
Performance --- Measurement. --- Engineering. --- Computer simulation. --- Sports-Psychological aspects. --- Biomedical engineering. --- Social sciences --- Computational Intelligence. --- Sport. --- Simulation and Modeling. --- Sport Psychology. --- Biomedical Engineering and Bioengineering. --- Computer Appl. in Social and Behavioral Sciences. --- Data processing. --- Clinical engineering --- Medical engineering --- Bioengineering --- Biophysics --- Engineering --- Medicine --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Construction --- Industrial arts --- Technology --- Computational intelligence. --- Sports. --- Sports—Psychological aspects. --- Application software. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Field sports --- Pastimes --- Recreations --- Recreation --- Athletics --- Games --- Outdoor life --- Physical education and training --- Intelligence, Computational --- Artificial intelligence --- Soft computing
Choose an application
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. .
Computational intelligence. --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Sports. --- Computer simulation. --- Sports—Psychological aspects. --- Biomedical engineering. --- Application software. --- Computational Intelligence. --- Sport. --- Simulation and Modeling. --- Sport Psychology. --- Biomedical Engineering and Bioengineering. --- Computer Appl. in Social and Behavioral Sciences. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Clinical engineering --- Medical engineering --- Bioengineering --- Biophysics --- Engineering --- Medicine --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Field sports --- Pastimes --- Recreations --- Recreation --- Athletics --- Games --- Outdoor life --- Physical education and training
Choose an application
Choose an application
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.
Wildlife. --- Fish. --- Computational intelligence. --- Computer simulation. --- Signal processing. --- Image processing. --- Speech processing systems. --- Fish & Wildlife Biology & Management. --- Computational Intelligence. --- Simulation and Modeling. --- Signal, Image and Speech Processing. --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Computational linguistics --- Electronic systems --- Information theory --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Fish --- Pisces --- Aquatic animals --- Vertebrates --- Fisheries --- Fishing --- Ichthyology --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication)
Choose an application
Psychology --- Human biochemistry --- Programming --- Computer architecture. Operating systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Recreation. Games. Sports. Corp. expression --- neuronale netwerken --- fuzzy logic --- medische biochemie --- cybernetica --- psychologie --- sport --- applicatiebeheer --- apps --- mineralen (chemie) --- mijnbouw --- KI (kunstmatige intelligentie) --- architectuur (informatica)
Choose an application
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. .
Psychology --- Human biochemistry --- Programming --- Computer architecture. Operating systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Recreation. Games. Sports. Corp. expression --- neuronale netwerken --- fuzzy logic --- medische biochemie --- cybernetica --- psychologie --- sport --- applicatiebeheer --- apps --- mineralen (chemie) --- mijnbouw --- KI (kunstmatige intelligentie) --- architectuur (informatica)
Choose an application
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.
Fauna. Zoological determination guides --- Fishes --- Electronics --- Engineering sciences. Technology --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- neuronale netwerken --- DIP (documentimage processing) --- digitale signaalverwerking --- beeldverwerking --- fuzzy logic --- cybernetica --- spraaktechnologie --- signal processing --- mineralen (chemie) --- mijnbouw --- KI (kunstmatige intelligentie) --- dieren --- vissen (biologie) --- signaalprocessoren --- signaalverwerking
Choose an application
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.
Programming --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Recreation. Games. Sports. Corp. expression --- neuronale netwerken --- fuzzy logic --- cybernetica --- datamining --- sport --- programmeren (informatica) --- KI (kunstmatige intelligentie) --- data acquisition
Listing 1 - 10 of 15 | << page >> |
Sort by
|