Predicting Participants’ Performance in Programming Contests Using Deep Learning Techniques

dc.contributor.author	Rahman, Md. Mahbubur
dc.contributor.author	Das, Badhan Chandra
dc.contributor.author	Biswas, Al Amin
dc.contributor.author	Anwar, Md. Musfique
dc.date.accessioned	2024-07-28T06:33:28Z
dc.date.available	2024-07-28T06:33:28Z
dc.date.issued	2023-02-11
dc.identifier.uri	http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/13019
dc.description.abstract	" In recent days, the number of technology enthusiasts is increasing day by day with the prevalence of technological products and easy access to the internet. Similarly, the amount of people working behind this rapid development is rising tremendously. Computer programmers consist of a large portion of those tech-savvy people. Codeforces, an online programming and contest hosting platform used by many competitive programmers worldwide. It is regarded as one of the most standardized platforms for practicing programming problems and participate in programming contests. In this research, we propose a framework that predicts the performance of any particular contestant in the upcoming competitions as well as predicts the rating after that contest based on their practice and the performance of their previous contests."	en_US
dc.language.iso	en_US	en_US
dc.publisher	Tech Science Press	en_US
dc.subject	Technology	en_US
dc.subject	Programming	en_US
dc.subject	Deep learning	en_US
dc.title	Predicting Participants’ Performance in Programming Contests Using Deep Learning Techniques	en_US
dc.type	Article	en_US