Change vulnerability forecasting using deep learning algorithm for Southeast Asia

Climate change is expected to change people’s livelihood in significant ways. Several vulnerability factors and readiness factors used for measuring the prediction index of that particular country on how vulnerable of a country towards global change. Primary data was collected from University of Not...

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Main Authors:	Amelia Ritahani, Ismail, Nur ‘Atikah, Mohd Ali, Junaida, Sulaiman
Format:	Article
Language:	English
Published:	Research Center for Electrical Power and Mechatronics - LIPI 2018
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/22198/ http://umpir.ump.edu.my/id/eprint/22198/ http://umpir.ump.edu.my/id/eprint/22198/ http://umpir.ump.edu.my/id/eprint/22198/1/Change%20vulnerability%20forecasting%20using%20deep%20learning.pdf

id	ump-22198
recordtype	eprints
spelling	ump-221982018-10-10T06:27:32Z http://umpir.ump.edu.my/id/eprint/22198/ Change vulnerability forecasting using deep learning algorithm for Southeast Asia Amelia Ritahani, Ismail Nur ‘Atikah, Mohd Ali Junaida, Sulaiman QA76 Computer software Climate change is expected to change people’s livelihood in significant ways. Several vulnerability factors and readiness factors used for measuring the prediction index of that particular country on how vulnerable of a country towards global change. Primary data was collected from University of Notre Dame Global Adaptation Index (ND-GAIN). The data has been trained for the forecasting purpose with support from the validated statistical analysis. The summary of the predicted index is visualized using machine learning tools. The results developed the correlation between vulnerability and readiness factors and shows the stability of the country towards climate change. The framework is applied to synthesize findings from Prediction index studies in South East Asia in dealing with vulnerability to climate change. Research Center for Electrical Power and Mechatronics - LIPI 2018-09 Article PeerReviewed pdf en cc_by_nc_sa_4 http://umpir.ump.edu.my/id/eprint/22198/1/Change%20vulnerability%20forecasting%20using%20deep%20learning.pdf Amelia Ritahani, Ismail and Nur ‘Atikah, Mohd Ali and Junaida, Sulaiman (2018) Change vulnerability forecasting using deep learning algorithm for Southeast Asia. Knowledge Engineering and Data Science (KEDS), 1 (2). pp. 74-78. ISSN 2597-4602 (Print); 2597-4637 (Online) http://journal2.um.ac.id/index.php/keds/article/view/4798 10.17977/um018v1i22018p74-78
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Amelia Ritahani, Ismail Nur ‘Atikah, Mohd Ali Junaida, Sulaiman Change vulnerability forecasting using deep learning algorithm for Southeast Asia
description	Climate change is expected to change people’s livelihood in significant ways. Several vulnerability factors and readiness factors used for measuring the prediction index of that particular country on how vulnerable of a country towards global change. Primary data was collected from University of Notre Dame Global Adaptation Index (ND-GAIN). The data has been trained for the forecasting purpose with support from the validated statistical analysis. The summary of the predicted index is visualized using machine learning tools. The results developed the correlation between vulnerability and readiness factors and shows the stability of the country towards climate change. The framework is applied to synthesize findings from Prediction index studies in South East Asia in dealing with vulnerability to climate change.
format	Article
author	Amelia Ritahani, Ismail Nur ‘Atikah, Mohd Ali Junaida, Sulaiman
author_facet	Amelia Ritahani, Ismail Nur ‘Atikah, Mohd Ali Junaida, Sulaiman
author_sort	Amelia Ritahani, Ismail
title	Change vulnerability forecasting using deep learning algorithm for Southeast Asia
title_short	Change vulnerability forecasting using deep learning algorithm for Southeast Asia
title_full	Change vulnerability forecasting using deep learning algorithm for Southeast Asia
title_fullStr	Change vulnerability forecasting using deep learning algorithm for Southeast Asia
title_full_unstemmed	Change vulnerability forecasting using deep learning algorithm for Southeast Asia
title_sort	change vulnerability forecasting using deep learning algorithm for southeast asia
publisher	Research Center for Electrical Power and Mechatronics - LIPI
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/22198/ http://umpir.ump.edu.my/id/eprint/22198/ http://umpir.ump.edu.my/id/eprint/22198/ http://umpir.ump.edu.my/id/eprint/22198/1/Change%20vulnerability%20forecasting%20using%20deep%20learning.pdf
first_indexed	2023-09-18T22:32:54Z
last_indexed	2023-09-18T22:32:54Z
_version_	1777416404818984960

Change vulnerability forecasting using deep learning algorithm for Southeast Asia

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