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Reseach Article

Player Fitness and Team Squad Selection using Intelligence System in Sri Lanka

by Jayaprada A.B.C., Ihalapathirana K.P., Anjalie Gamage, Thilini Jayalath, Jayasundara U.L., Trishan Piyumal M.A.
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 183 - Number 36
Year of Publication: 2021
Authors: Jayaprada A.B.C., Ihalapathirana K.P., Anjalie Gamage, Thilini Jayalath, Jayasundara U.L., Trishan Piyumal M.A.
10.5120/ijca2021921755

Jayaprada A.B.C., Ihalapathirana K.P., Anjalie Gamage, Thilini Jayalath, Jayasundara U.L., Trishan Piyumal M.A. . Player Fitness and Team Squad Selection using Intelligence System in Sri Lanka. International Journal of Computer Applications. 183, 36 ( Nov 2021), 54-60. DOI=10.5120/ijca2021921755

@article{ 10.5120/ijca2021921755,
author = { Jayaprada A.B.C., Ihalapathirana K.P., Anjalie Gamage, Thilini Jayalath, Jayasundara U.L., Trishan Piyumal M.A. },
title = { Player Fitness and Team Squad Selection using Intelligence System in Sri Lanka },
journal = { International Journal of Computer Applications },
issue_date = { Nov 2021 },
volume = { 183 },
number = { 36 },
month = { Nov },
year = { 2021 },
issn = { 0975-8887 },
pages = { 54-60 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume183/number36/32167-2021921755/ },
doi = { 10.5120/ijca2021921755 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:18:52.274855+05:30
%A Jayaprada A.B.C.
%A Ihalapathirana K.P.
%A Anjalie Gamage
%A Thilini Jayalath
%A Jayasundara U.L.
%A Trishan Piyumal M.A.
%T Player Fitness and Team Squad Selection using Intelligence System in Sri Lanka
%J International Journal of Computer Applications
%@ 0975-8887
%V 183
%N 36
%P 54-60
%D 2021
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cricket is one of the most popular sports in the world, second only to football. Specially in Asian counties there are millions of cricket fans. Cricket can be considered as the most famous sport in Sri Lanka as well. Although there are many other games, cricket takes an important place because of its attractive playing structure. Cricket is globally played 104 members 12 of which are full members who participate in the Test Matches and the other 94 being associate members of the international cricket Council (ICC). As cricket takes a vital place among all other sports, there are lot actions that have been taken by cricket boards in various countries. Unfortunately, current Sri Lankan cricket is not in a very satisfactory level. Cricket board and government take many actions to uplift the Sri Lankan cricket. when talking about systematic ways, unfortunately there are only few systems which have been built to uplift cricket industry. in this research, our main concern is to build a system which helps to uplift the cricket industry, especially in Sri Lanka. Identifying the cricket pitch condition, batting techniques, players fitness levels, match prediction and team squared selection are the main outcomes of this research. Those are the most important aspects which directly effect to the victory of a cricket match. By introducing this system to the market, we hope to uplift the cricket industry in a much efficient way.

References
  1. Ijsr.net. 2014. Cricket Pitches – Science behind the Art of Pitch Making. [online] Available at:
  2. ResearchGate. 2020.PredicitngBowling Performance in Cricket from publicity Available Data.
  3. Meraj-Bin-Malek, Rakib Hasan Badhan, Mohaiminul Islam Shesir, Nazmul Haque Fakir (2018) Squad Selection for Cricket Team Using Machine Learning Algorithms, Department of Computer Science and Engineering BRAC University, Dhaka - 1212, Bangladesh: Mr. Hossain Arif .
  4. Myweather2.com. 2021. Weather forecast for Galle Stadium| Cricket Ground | Sri Lanka. [online]
  5. Shutterstock.com. 2021. Cricket Pitch Images, Stock Photos & Vectors | Shutterstock. [online] Available
Index Terms

Computer Science
Information Sciences

Keywords

Image Process Video Process Neural Network Machine Learning Hybrid Architecture