Machine Learning Techniques for Analyzing Athletic Performance in Sports using GWO-CNN Model-Reference-Cited by-同舟云学术

Machine Learning Techniques for Analyzing Athletic Performance in Sports using GWO-CNN Model

Published:2022-12-01 Issue: Volume: Page:
ISSN:
Container-title:2022 6th International Conference on Electronics, Communication and Aerospace Technology
language:
Short-container-title:

Author:

Radhakrishnan G.¹,Parasuraman T.²,Harigaran D.²,Ramakrishnan R.²,Krishnakumar R.²,Ramesh K. A.³

Affiliation:

1. Sir Theagaraya College, Chennai, Affiliated to the University of Madras,Physical Education,Tamil Nadu

2. School of Physical Education & Sports Sciences, Hindustan Institute of Technology & Science,Chennai,Tamil Nadu

3. Anna University Tiruchirappalli,Physical Education,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10009019/10009048/10009065.pdf?arnumber=10009065

Reference16 articles.

1. A deep learning analysis for the effect ofindividual player performances on match results;yüceba?;Neural Computing & Applications,2022

2. A Survey on Predicting Player’s Performance and Team Recommendation in Game of Cricket Using Machine Learning

3. Predicting players' performance in one day international cricket matches using machine learning;passi;Computer Science & Information Technology (CS & IT),2017

4. An approach to sport activities recognition based on an inertial sensor and deep learning

5. Sports performance prediction model based on integrated learning algorithm and cloud computing Hadoop platform

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Human Activity Recognition Using Sensor Fusion and Deep Learning for Ergonomics in Logistics Applications;2023 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS);2023-11-28