Research on methods of optimizing flutter applications rendering using a linear regression model
The research focuses on optimizing the rendering performance of Flutter applications using a linear regression model. The objective is to analyze and compare various rendering optimization techniques by constructing regression equations that model their impact on performance. The study involves identifying critical factors influencing rendering efficiency, applying optimization methods, and using the regression model to evaluate their effectiveness. This approach provides insights into improving UI flow rendering in Flutter applications, contributing to enhanced performance and user experience
Authors
- Yuliia Koba (ORCID: https://orcid.org/0000-0003-1837-6041)
- Oleksii Nazarov (ORCID: https://orcid.org/0000-0001-8682-5000)
- N. M. Nazarova (ORCID: https://orcid.org/0009-0007-7816-7088)
Institutions
- V. N. Karazin Kharkiv National University (UA)
Publication Details
- Journal
- Bionics of Intelligence
- Published
- 2024-12-30
- DOI
- https://doi.org/10.30837/bi.2024.2(101).11
- Primary Topic
- Simulation and Modeling Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00