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.

Dettagli Bibliografici
Autori principali:	Alif, Omar Farhad, Monsaif, Tarik Monwar, Amarth, Swakshar Das, Kabir, Md. Nafiu, Sadman, Tahmid Asif
Altri autori:	Mukta, Jannatun Noor
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2023
Soggetti:	Artificial intelligence Machine learning Computational cloud computing Prediction Reducing air pollution Linear regression analysis Decision tree Regression analysis Logic programming
Accesso online:	http://hdl.handle.net/10361/21819

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