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AIR POLLUTION MODELLING IN MALAYSIA USING GIS AND MACHINE LEARNING ALGORITHMS

Spatial modelling and analysis can assist in improving the decision-making process of mitigating bad air quality. One of Malaysia's most harmful air pollutants is particulate matter (PM), which has been used to denote the Air Pollutant Index for over 20 years.

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Bibliographic Details
Main Author: TELLA, ABDULWAHEED ADELEKAN
Format: Thesis
Language:English
Published: 2021
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://utpedia.utp.edu.my/15758/1/Abdulwaheed%20Adelekan%20Tella_18003210.pdf
http://utpedia.utp.edu.my/15758/
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record_format eprints
spelling my-utp-utpedia.157582022-03-02T15:41:02Z http://utpedia.utp.edu.my/15758/ AIR POLLUTION MODELLING IN MALAYSIA USING GIS AND MACHINE LEARNING ALGORITHMS TELLA, ABDULWAHEED ADELEKAN TA Engineering (General). Civil engineering (General) Spatial modelling and analysis can assist in improving the decision-making process of mitigating bad air quality. One of Malaysia's most harmful air pollutants is particulate matter (PM), which has been used to denote the Air Pollutant Index for over 20 years. 2021-11 Thesis NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/15758/1/Abdulwaheed%20Adelekan%20Tella_18003210.pdf TELLA, ABDULWAHEED ADELEKAN (2021) AIR POLLUTION MODELLING IN MALAYSIA USING GIS AND MACHINE LEARNING ALGORITHMS. Masters thesis, Universiti Teknologi PETRONAS.
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
TELLA, ABDULWAHEED ADELEKAN
AIR POLLUTION MODELLING IN MALAYSIA USING GIS AND MACHINE LEARNING ALGORITHMS
description Spatial modelling and analysis can assist in improving the decision-making process of mitigating bad air quality. One of Malaysia's most harmful air pollutants is particulate matter (PM), which has been used to denote the Air Pollutant Index for over 20 years.
format Thesis
author TELLA, ABDULWAHEED ADELEKAN
author_facet TELLA, ABDULWAHEED ADELEKAN
author_sort TELLA, ABDULWAHEED ADELEKAN
title AIR POLLUTION MODELLING IN MALAYSIA USING GIS AND MACHINE LEARNING ALGORITHMS
title_short AIR POLLUTION MODELLING IN MALAYSIA USING GIS AND MACHINE LEARNING ALGORITHMS
title_full AIR POLLUTION MODELLING IN MALAYSIA USING GIS AND MACHINE LEARNING ALGORITHMS
title_fullStr AIR POLLUTION MODELLING IN MALAYSIA USING GIS AND MACHINE LEARNING ALGORITHMS
title_full_unstemmed AIR POLLUTION MODELLING IN MALAYSIA USING GIS AND MACHINE LEARNING ALGORITHMS
title_sort air pollution modelling in malaysia using gis and machine learning algorithms
publishDate 2021
url http://utpedia.utp.edu.my/15758/1/Abdulwaheed%20Adelekan%20Tella_18003210.pdf
http://utpedia.utp.edu.my/15758/
_version_ 1739832170948591616
score 13.211869

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