Enhancing Cricket Performance Analysis with Human Pose Estimation and Machine Learning
Hafeez Ur Rehman Siddiqui(Khwaja Fareed University of Engineering and Information Technology), Imran Ashraf(Yeungnam University), Emmanuel Soriano Flores(Ibero American University), Faizan Younas(University of Lahore), Furqan Rustam(University College Dublin), Sandra Dudley(London South Bank University), Isabel de la Torre Díez(Universidad de Valladolid), Julién Brito Ballester(Ibero American University)
Cited by 34
Related Papers
Predicting Employee Attrition Using Machine Learning Approaches
|Applied Sciences|2022|148
A Novel Approach for Polycystic Ovary Syndrome Prediction Using Machine Learning in Bioinformatics
|IEEE Access|2022|97
Optimal Modeling and Feasibility Analysis of Grid-Interfaced Solar PV/Wind/Pumped Hydro Energy Storage Based Hybrid System
|Sustainability|2023|80
A Comprehensive Review of Denial of Service Attacks in Blockchain Ecosystem and Open Challenges
|IEEE Access|2022|69
An efficient artificial intelligence approach for early detection of cross-site scripting attacks
|Decision Analytics Journal|2024|44