Now showing items 1-5 of 5

    • Best 11 selection using machine learning 

      Anik, Aminul Islam; Yeaser, Sakif; Hossain, A.G.M. Imam (BRAC University, 2018-04)
      Cricket has become the most popular game not only in Bangladesh but also around the world. Day by day it is gaining more people’s attention. The name and glory of team Bangladesh has trespassed the country’s border and it ...
    • Classification of Shot Selection by Batsman in Cricket Matches Using Deep Neural Network 

      Khan, Afsana; Nabila, Fariha Haque; Mohiuddin, Masud; Mollah, Mahadi (Brac University, 2022-05)
      Machine learning (ML) is such a field that focuses on learning based method. It basically leverage data to improve the performance on particular tasks. It creates a model based on training data and makes prediction ...
    • Predicting peak performance of a cricket player using machine learning and data analytics 

      Azam, Akif; Ashraf, Tarif; Asad, Ahmad Al; Anwar, Kazi Nishat; Chowdhury, Ilhum Zia (Brac University, 2022-08-25)
      In the modern era, the game of cricket has evolved into a batting friendly lexicon more than ever. However, bowlers adapting to every suitable condition can also change the dynamics of the game. Prior studies were carried ...
    • Rangpur International Cricket Stadium 

      Khan, Eudgir Arman (Brac University, 2019-08)
      The Rangpur International cricket stadium project aims to make the stadium live by featuring supporting public activities in the project. Aiming to respecting existing surroundings and to activate the place on non-match ...
    • Squad selection for cricket team using machine learning algorithms 

      Malek, Meraj-Bin-; Badhan, Rakib Hasan; Shesir, Mohaiminul Islam; Fakir, Nazmul Haque (Brac University, 2018-10)
      There are mainly three renowned formats of cricket – ODI (One Day International), Test Match and T20 (Twenty Twenty). Selecting a 15 men perfect squad for a particular cricket match in a particular cricket tournament ...