Change vulnerability forecasting using deep learning algorithm for Southeast Asia

• 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/22198/1/Change%20vulnerability%20forecasting%20using%20deep%20learning.pdf; http://umpir.ump.edu.my/id/eprint/22198/; http://journal2.um.ac.id/index.php/keds/article/view/4798

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...