Finding location-specific aggregated air quality index with smartphone images using deep convolutional neural network

Finding location-specific aggregated air quality index with smartphone images using deep convolutional neural network

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.

Bibliografiska uppgifter
Huvudupphovsmän: Mondal, Joyanta Jyoti, Rhidi, Nowsin Kabir
Övriga upphovsmän: Mukta, Jannatun Noor
Materialtyp: Lärdomsprov
Språk:English
Publicerad: Brac University 2023
Ämnen:
Air quality index
Picture-based Predictor of PM2.5 Concentration (PPPC)
Deep learning
Machine learning.
Neural networks (Computer science)
Länkar:http://hdl.handle.net/10361/22002

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