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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| Format: | Article |
| Language: | English |
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Research Center for Electrical Power and Mechatronics - LIPI
2018
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| Online Access: | http://umpir.ump.edu.my/id/eprint/22198/1/Change%20vulnerability%20forecasting%20using%20deep%20learning.pdf |
| _version_ | 1796992901702483968 |
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| 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 |
| collection | UMP |
| 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. |
| first_indexed | 2024-03-06T12:26:25Z |
| format | Article |
| id | UMPir22198 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:26:25Z |
| publishDate | 2018 |
| publisher | Research Center for Electrical Power and Mechatronics - LIPI |
| record_format | dspace |
| spelling | UMPir221982018-10-10T06:27:32Z 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). (Published) http://journal2.um.ac.id/index.php/keds/article/view/4798 10.17977/um018v1i22018p74-78 |
| spellingShingle | QA76 Computer software Amelia Ritahani, Ismail Nur ‘Atikah, Mohd Ali Junaida, Sulaiman Change vulnerability forecasting using deep learning algorithm for Southeast Asia |
| title | 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_short | Change vulnerability forecasting using deep learning algorithm for Southeast Asia |
| title_sort | change vulnerability forecasting using deep learning algorithm for southeast asia |
| topic | QA76 Computer software |
| url | http://umpir.ump.edu.my/id/eprint/22198/1/Change%20vulnerability%20forecasting%20using%20deep%20learning.pdf |
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