A novel approach to reduce air pollution through machine learning based PM2.5 prediction

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.

Detalles Bibliográficos
Autores principales: Alif, Omar Farhad, Monsaif, Tarik Monwar, Amarth, Swakshar Das, Kabir, Md. Nafiu, Sadman, Tahmid Asif
Otros Autores: Mukta, Jannatun Noor
Formato: Tesis
Lenguaje:English
Publicado: Brac University 2023
Materias:
Artificial intelligence
Machine learning
Computational cloud computing
Prediction
Reducing air pollution
Linear regression analysis
Decision tree
Regression analysis
Logic programming
Acceso en línea:http://hdl.handle.net/10361/21819

Internet

http://hdl.handle.net/10361/21819

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