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.

Bibliografiska uppgifter
Huvudupphovsmän: Alif, Omar Farhad, Monsaif, Tarik Monwar, Amarth, Swakshar Das, Kabir, Md. Nafiu, Sadman, Tahmid Asif
Övriga upphovsmän: Mukta, Jannatun Noor
Materialtyp: Lärdomsprov
Språk:English
Publicerad: Brac University 2023
Ämnen:
Artificial intelligence
Machine learning
Computational cloud computing
Prediction
Reducing air pollution
Linear regression analysis
Decision tree
Regression analysis
Logic programming
Länkar:http://hdl.handle.net/10361/21819

Internet

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

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