A novel approach to reduce air pollution through machine learning based PM2.5 prediction
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.
Autors principals: | Alif, Omar Farhad, Monsaif, Tarik Monwar, Amarth, Swakshar Das, Kabir, Md. Nafiu, Sadman, Tahmid Asif |
---|---|
Altres autors: | Mukta, Jannatun Noor |
Format: | Thesis |
Idioma: | English |
Publicat: |
Brac University
2023
|
Matèries: | |
Accés en línia: | http://hdl.handle.net/10361/21819 |
Ítems similars
-
A voice signal based gender prediction model using random forest classifier
per: Ahmed, Saif, et al.
Publicat: (2018) -
Predicting the length of stay in a hospital for a particular disease using machine learning algorithms
per: Imam, Saif
Publicat: (2021) -
Early grade prediction using profile data
per: Iqbal, Sumaiya, et al.
Publicat: (2021) -
Punishment not enough to reduce air pollution in Bangladesh
per: Zaman, Sumaiya
Publicat: (2022) -
Analyzing area-wise air pollution level using machine learning for a better future
per: Sihan, Sk. Atik Tajwar, et al.
Publicat: (2021)