Machine Learning in Sports: Identifying Potential Archers
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...
| Main Authors: | Rabiu Muazu, Musa, Zahari, Taha, Anwar, P. P. Abdul Majeed, Mohamad Razali, Abdullah |
|---|---|
| Format: | Book |
| Language: | English English |
| Published: |
Springer
2019
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/24656/ http://umpir.ump.edu.my/id/eprint/24656/1/9.%20Introduction.pdf http://umpir.ump.edu.my/id/eprint/24656/2/9.1%20Introduction.pdf |
Similar Items
Psychological variables in ascertaining potential archers
by: Rabiu Muazu, Musa, et al.
Published: (2019)
by: Rabiu Muazu, Musa, et al.
Published: (2019)
Psycho-fitness parameters in the identification of high-potential archers
by: Rabiu Muazu, Musa, et al.
Published: (2019)
by: Rabiu Muazu, Musa, et al.
Published: (2019)
A machine learning approach of predicting high potential archers by means of physical fitness indicators
by: Musa, Rabiu Muazu, et al.
Published: (2019)
by: Musa, Rabiu Muazu, et al.
Published: (2019)
The Identification of High Potential Archers Based on Fitness and Motor Ability Variables: A Support Vector Machine Approach
by: Zahari, Taha, et al.
Published: (2018)
by: Zahari, Taha, et al.
Published: (2018)
The identification of high potential archers based on relative psychological coping skills variables: A Support Vector Machine approach
by: Zahari, Taha, et al.
Published: (2018)
by: Zahari, Taha, et al.
Published: (2018)
The employment of Support Vector Machine to classify high and low performance archers based on bio-physiological variables
by: Zahari, Taha, et al.
Published: (2018)
by: Zahari, Taha, et al.
Published: (2018)
The application of support vector machine in classifying potential archers using bio-mechanical indicators
by: Zahari, Taha, et al.
Published: (2018)
by: Zahari, Taha, et al.
Published: (2018)
Anthropometry correlation towards archery performance
by: Rabiu Muazu, Musa, et al.
Published: (2019)
by: Rabiu Muazu, Musa, et al.
Published: (2019)
Concluding remarks
by: Rabiu Muazu, Musa, et al.
Published: (2019)
by: Rabiu Muazu, Musa, et al.
Published: (2019)
Talent identification of potential archers through fitness and motor ability performance variables by means of artificial neural network
by: Zahari, Taha, et al.
Published: (2018)
by: Zahari, Taha, et al.
Published: (2018)
Machine learning approach in identifying speed breakers for autonomous driving: an overview
by: Choong, Chun Sern, et al.
Published: (2018)
by: Choong, Chun Sern, et al.
Published: (2018)
Correlation between Archer's Hands Movement While Shooting and its Score
by: Zahari, Taha, et al.
Published: (2016)
by: Zahari, Taha, et al.
Published: (2016)
The application of k -Nearest Neighbour in the identification of high potential archers based on relative psychological coping skills variables
by: Zahari, Taha, et al.
Published: (2018)
by: Zahari, Taha, et al.
Published: (2018)
Evaluation of the machine learning classifier in wafer defects classification
by: Jessnor Arif, Mat Jizat, et al.
Published: (2021)
by: Jessnor Arif, Mat Jizat, et al.
Published: (2021)
The application of artificial neural networks in predicting blood pressure levels of youth archers by means of anthropometric indexes
by: Musa, Rabiu Muazu, et al.
Published: (2020)
by: Musa, Rabiu Muazu, et al.
Published: (2020)
The Development of the Putt.It.In Monitoring Device and the Establishment of Its Reliability: A Solution for Putting-In Analysis in Golf
by: Zahari, Taha, et al.
Published: (2017)
by: Zahari, Taha, et al.
Published: (2017)
Match outcomes prediction of six top English Premier League clubs via machine learning technique
by: Rabiu Muazu, Musa, et al.
Published: (2018)
by: Rabiu Muazu, Musa, et al.
Published: (2018)
The classification of skateboarding trick manoeuvres through the integration of image processing techniques and machine learning
by: Muhammad Nur Aiman, Shapiee, et al.
Published: (2019)
by: Muhammad Nur Aiman, Shapiee, et al.
Published: (2019)
The classification of skateboarding tricks : A transfer learning and machine learning approach
by: Muhammad Nur Aiman, Shapiee, et al.
Published: (2020)
by: Muhammad Nur Aiman, Shapiee, et al.
Published: (2020)
Development of anthro-fitness model for evaluating firefighter recruits' performance readiness using machine learning
by: Borhanudin, Mohd Yusof @ Mohamed, et al.
Published: (2024)
by: Borhanudin, Mohd Yusof @ Mohamed, et al.
Published: (2024)
Unsupervised Fertigation and Machine Learning for Crop Vegetation Parameter Analysis
by: Mohd Izzat, Mohd Rahman, et al.
Published: (2023)
by: Mohd Izzat, Mohd Rahman, et al.
Published: (2023)
Classification of high performance archers by means of bio-physiological performance variables via k-nearest neighbour classification model
by: Zahari, Taha, et al.
Published: (2018)
by: Zahari, Taha, et al.
Published: (2018)
A cluster analysis of identifying team and individual sports athlete based on anthropometric, health and skill related components
by: Noor Aishah, Kamarudin, et al.
Published: (2022)
by: Noor Aishah, Kamarudin, et al.
Published: (2022)
Technical and tactical performance indicators discriminating winning and losing team in elite Asian beach soccer tournament
by: Musa, Rabiu Muazu, et al.
Published: (2019)
by: Musa, Rabiu Muazu, et al.
Published: (2019)
The Identification of Hunger Behaviour of Lates Calcarifer through the Integration of Image Processing Technique and Support Vector Machine
by: Zahari, Taha, et al.
Published: (2018)
by: Zahari, Taha, et al.
Published: (2018)
Intelligent Prediction of Suitable Physical Characteristics Toward Archery Performance Using Multivariate Techniques
by: Zahari, Taha, et al.
Published: (2017)
by: Zahari, Taha, et al.
Published: (2017)
Design and validation of a virtual physical education and sport science–related course: A learner’s engagement approach
by: Eswaramoorthi, Vijayamurugan, et al.
Published: (2022)
by: Eswaramoorthi, Vijayamurugan, et al.
Published: (2022)
Integrated multi sensors and camera video sequence application for performance monitoring in archery
by: Zahari, Taha, et al.
Published: (2017)
by: Zahari, Taha, et al.
Published: (2017)
The identification of oreochromis niloticus feeding behaviour through the integration of photoelectric sensor and logistic regression classifier
by: Mohamad Radzi, Mohd Sojak, et al.
Published: (2018)
by: Mohamad Radzi, Mohd Sojak, et al.
Published: (2018)
Reliability testing of inertial measurement units in the analysis of physiological variables in archery
by: Zahari, Taha, et al.
Published: (2017)
by: Zahari, Taha, et al.
Published: (2017)
The Application of Inertial Measurement Units and Wearable Sensors to Measure Selected Physiological Indicators in Archery
by: Zahari, Taha, et al.
Published: (2017)
by: Zahari, Taha, et al.
Published: (2017)
The Flexural Strength Prediction of Porous Cu-Sn-Ti Composites via Artificial Neural Networks
by: El Sawy, Abdelrahman, et al.
Published: (2018)
by: El Sawy, Abdelrahman, et al.
Published: (2018)
The diagnosis of diabetic retinopathy by means of transfer learning with conventional machine learning pipeline
by: Farhan Nabil, Mohd Noor, et al.
Published: (2020)
by: Farhan Nabil, Mohd Noor, et al.
Published: (2020)
Kinematics Analysis of a 3DoF Lower Limb Exoskeleton for Gait Rehabilitation: A Preliminary Investigation
by: Muhammad Aizzat, Zakaria, et al.
Published: (2017)
by: Muhammad Aizzat, Zakaria, et al.
Published: (2017)
A hybrid fuzzy AHP-PROMETHEE decision support system for machine tool selection in flexible manufacturing cell
by: Zahari, Taha, et al.
Published: (2012)
by: Zahari, Taha, et al.
Published: (2012)
Rain classification for autonomous vehicle navigation using machine learning
by: Abdul Haleem Habeeb, Mohamed, et al.
Published: (2021)
by: Abdul Haleem Habeeb, Mohamed, et al.
Published: (2021)
The control of an upper limb exoskeleton system for passive stroke rehabilitation: An active force control approach
by: Anwar, P. P. Abdul Majeed, et al.
Published: (2018)
by: Anwar, P. P. Abdul Majeed, et al.
Published: (2018)
Forward and inverse predictive model for the trajectory tracking control of a lower limb exoskeleton for gait rehabilitation: simulation modelling analysis
by: Muhammad Aizzat, Zakaria, et al.
Published: (2018)
by: Muhammad Aizzat, Zakaria, et al.
Published: (2018)
A Simulated Kalman Filter (SKF) approach in identifying optimum speed during cornering
by: Kamil Zakwan, Mohd Azmi, et al.
Published: (2021)
by: Kamil Zakwan, Mohd Azmi, et al.
Published: (2021)
Hardware-in-the-loop study of a hybrid active force control scheme of an upper-limb exoskeleton for passive stroke rehabilitation
by: Anwar, P. P. Abdul Majeed
Published: (2018)
by: Anwar, P. P. Abdul Majeed
Published: (2018)
Similar Items
-
Psychological variables in ascertaining potential archers
by: Rabiu Muazu, Musa, et al.
Published: (2019) -
Psycho-fitness parameters in the identification of high-potential archers
by: Rabiu Muazu, Musa, et al.
Published: (2019) -
A machine learning approach of predicting high potential archers by means of physical fitness indicators
by: Musa, Rabiu Muazu, et al.
Published: (2019) -
The Identification of High Potential Archers Based on Fitness and Motor Ability Variables: A Support Vector Machine Approach
by: Zahari, Taha, et al.
Published: (2018) -
The identification of high potential archers based on relative psychological coping skills variables: A Support Vector Machine approach
by: Zahari, Taha, et al.
Published: (2018)