The development of an algorithm and a model through image processing and remote sensing techniques for assessing environmental impacts of routine carbon footprint in Peninsular Malaysia.

This research develope the prediction models which analyze and compute the CO2 emission in Malaysia. Each prediction model for C02 emission is analyzed based on three main groups which is transportation, electricity production and consumption as well as residential and industry. The prediction model...

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Main Author: Mat Jafri, Mohd. Zubir
Format: Monograph
Language:en
Published: Universiti Sains Malaysia 2015
Subjects:
Online Access:http://eprints.usm.my/37015/1/The%20development%20of%20an%20algorithm%20and%20a%20model%20through%20Image%20processing-Eprints.pdf
http://eprints.usm.my/37015/
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author Mat Jafri, Mohd. Zubir
author_facet Mat Jafri, Mohd. Zubir
author_sort Mat Jafri, Mohd. Zubir
building Hamzah Sendut Library
collection Institutional Repository
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
continent Asia
country Malaysia
description This research develope the prediction models which analyze and compute the CO2 emission in Malaysia. Each prediction model for C02 emission is analyzed based on three main groups which is transportation, electricity production and consumption as well as residential and industry. The prediction models was generated using data obtained from World Bank Open Data. Partial least square and best subset method were used to remove irrelevant data and followed by multi linear regression to produce the prediction models.
format Monograph
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institution Universiti Sains Malaysia
language en
publishDate 2015
publisher Universiti Sains Malaysia
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spelling my.usm.eprints.37015 http://eprints.usm.my/37015/ The development of an algorithm and a model through image processing and remote sensing techniques for assessing environmental impacts of routine carbon footprint in Peninsular Malaysia. Mat Jafri, Mohd. Zubir QC1-999 Physics This research develope the prediction models which analyze and compute the CO2 emission in Malaysia. Each prediction model for C02 emission is analyzed based on three main groups which is transportation, electricity production and consumption as well as residential and industry. The prediction models was generated using data obtained from World Bank Open Data. Partial least square and best subset method were used to remove irrelevant data and followed by multi linear regression to produce the prediction models. Universiti Sains Malaysia 2015 Monograph NonPeerReviewed application/pdf en http://eprints.usm.my/37015/1/The%20development%20of%20an%20algorithm%20and%20a%20model%20through%20Image%20processing-Eprints.pdf Mat Jafri, Mohd. Zubir (2015) The development of an algorithm and a model through image processing and remote sensing techniques for assessing environmental impacts of routine carbon footprint in Peninsular Malaysia. Technical Report. Universiti Sains Malaysia.
spellingShingle QC1-999 Physics
Mat Jafri, Mohd. Zubir
The development of an algorithm and a model through image processing and remote sensing techniques for assessing environmental impacts of routine carbon footprint in Peninsular Malaysia.
title The development of an algorithm and a model through image processing and remote sensing techniques for assessing environmental impacts of routine carbon footprint in Peninsular Malaysia.
title_full The development of an algorithm and a model through image processing and remote sensing techniques for assessing environmental impacts of routine carbon footprint in Peninsular Malaysia.
title_fullStr The development of an algorithm and a model through image processing and remote sensing techniques for assessing environmental impacts of routine carbon footprint in Peninsular Malaysia.
title_full_unstemmed The development of an algorithm and a model through image processing and remote sensing techniques for assessing environmental impacts of routine carbon footprint in Peninsular Malaysia.
title_short The development of an algorithm and a model through image processing and remote sensing techniques for assessing environmental impacts of routine carbon footprint in Peninsular Malaysia.
title_sort development of an algorithm and a model through image processing and remote sensing techniques for assessing environmental impacts of routine carbon footprint in peninsular malaysia.
topic QC1-999 Physics
url http://eprints.usm.my/37015/1/The%20development%20of%20an%20algorithm%20and%20a%20model%20through%20Image%20processing-Eprints.pdf
http://eprints.usm.my/37015/
url_provider http://eprints.usm.my/