Machine learning in team sports performance analysis and talent identification in beach soccer & sepak-takraw
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 con...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | , , |
| Format: | Book |
| Language: | English |
| Published: |
Singapore
Springer
2020
|
| Series: | SpringerBriefs in Applied Sciences and Technology
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Call Number : | GV 568 .R34 2020 |
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | 88650 | ||
| 003 | MY-KLNDU | ||
| 005 | 20241219044538.0 | ||
| 008 | 221104 20202020my a b 000 0 eng d | ||
| 020 | |a 9789811532184 (pbk) | ||
| 020 | |z 9789811532191 (ebk) | ||
| 039 | 9 | |a 202211041254 |b VLOAD |c 202206150959 |d rafizah |y 202104280918 |z dewi | |
| 040 | |a MY-KlNDU |b eng |c MY-KlNDU |e rda | ||
| 050 | |a GV 568 |b .R34 2020 | ||
| 090 | |a GV 568 |b .R34 2020 | ||
| 100 | 0 | |a Rabiu Muazu Musa |e author | |
| 245 | 1 | 0 | |a Machine learning in team sports |b performance analysis and talent identification in beach soccer & sepak-takraw |c Rabiu Muazu Musa, Anwar P. P. Abdul Majeed, Norlaila Azura Kosni, Mohamad Razali Abdullah |
| 246 | 3 | 0 | |a Performance analysis and talent identification in beach soccer and sepak-takraw |
| 264 | 1 | |a Singapore |b Springer |c 2020 | |
| 264 | 4 | |c © 2020 | |
| 300 | |a x, 61 pages |b illustrations |c 24 cm | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a unmediated |2 rdamedia | ||
| 338 | |a volume |2 rdacarrier | ||
| 490 | 1 | |a SpringerBriefs in Applied Sciences and Technology | |
| 504 | |a Includes bibliographical references | ||
| 520 | |a 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. | ||
| 592 | |a IV-101552 |b 13/9/2021 |c RM 235.79 |h YUHA | ||
| 650 | 0 | |a Sports | |
| 650 | 0 | |a Computational intelligence | |
| 650 | 0 | |a Computer simulation | |
| 700 | 0 | |a Anwar P. P. Abdul Majeed | |
| 700 | 0 | |a Norlaila Azura Kosni | |
| 700 | 0 | |a Mohamad Razali Abdullah | |
| 830 | 0 | |a SpringerBriefs in Applied Sciences and Technology | |
| 999 | |a vtls000099622 |c 88650 |d 88650 | ||