Information communication and technology in sports: a meticulous review

N Reyaz, G Ahamad, M Naseem, J Ali… - Frontiers in Sports and …, 2023 - frontiersin.org
Introduction Sports of all kinds even though have an alluring property of keeping their
onlookers stuck to their place, the introduction of Technology, however, revolutionized it all …

Artificial intelligence applications in the football codes: A systematic review

I Elstak, P Salmon, S McLean - Journal of Sports Sciences, 2024 - Taylor & Francis
Artificial Intelligence (AI) is increasingly being adopted across many domains such as
transport, healthcare, defence and sport, with football codes no exception. Though there is a …

SVMCTI: support vector machine based cricket talent ıdentification model

N Reyaz, G Ahamad, NJ Khan, M Naseem… - International Journal of …, 2024 - Springer
Sports talent recognition is one of the intensively discussed topics in this day and age.
Cricket is a sport of keen interest and has fascinated researchers all over the world to …

Workload Monitoring Tools in Field-Based Team Sports, the Emerging Technology and Analytics used for Performance and Injury Prediction: A Systematic Review

G Keys, L Ryan, M Faulkner, M McCann - International Journal of …, 2023 - sciendo.com
Training load (TL) is frequently documented among team sports and the development of
emerging technology (ET) is displaying promising results towards player performance and …

Machine Learning in Sports Talent Identification: A Systematic Review

N Reyaz, G Ahamad, NJ Khan… - 2022 2nd International …, 2022 - ieeexplore.ieee.org
Sports talent identification is drawing an increasing research interest from the academic
community. The traditional approaches are being systematized into the scientific …

Goldfit Soccer: A Multidimensional Model for Talent Identification of Young Soccer Players

FZ Werneck, EF Coelho, MO Matta… - … Quarterly for Exercise …, 2024 - Taylor & Francis
Studies have provided empirical evidence on the prognostic relevance of test batteries and
the “coach's eye” for talent identification. The aims were 1) to compare objective and …

Predicting Children's Talent Based On Hobby Using C4. 5 Algorithm And Random Forest

S Riyadi, H Hartono… - Proceeding of …, 2023 - prosiding-icostec.respati.ac.id
A person's talent is closely related to intelligence, hobbies, and interests. These factors are
the best features to be used in a dataset to predict a children's talent, such as in an …

[PDF][PDF] Automatic Matchmaking in Two-Versus-Two Sports

S Rüttgers, U Kuhl, B Paaßen - Proceedings of the …, 2024 - educationaldatamining.org
To train two-versus-two sports, it is beneficial to play regularly with varying teammates and
opponents of similar skill level. However, even in small classes, it is almost impossible for a …

Determinants of Performance of 12-Year-Old Soccer School Players in Central Java

C Yuwono, S Adi, M Annas, A Darmawan… - ACTIVE: Journal of …, 2024 - journal.unnes.ac.id
This study aims to predict the determinants of performance in the 12-year age group. This
study uses a mixed methods approach with a diverse research method (concurrent), namely …

A novel method for clustering basketball players with data mining and hierarchical algorithm

S Babaee Khobdeh, MR Yamaghani… - International Journal of …, 2023 - ijorlu.liau.ac.ir
The issue of talent identification in basketball is significantly underrepresented in the
existing literature, despite its undeniable significance in the field of sports. The objective of …