Poverty Classification in Indonesia Using BiGRU, BPNN, and Stacking AdaBoost Frameworks
This research addresses the persistent global challenge of poverty, with a specific focus on Indonesia, a nation with a population exceeding 270 million. The primary objective is to enhance the precision and reliability of poverty classification using advanced machine learning technologies. We em...
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Main Authors: | Khalisha, Ariyani, Silvia, Ratna, M., Muflih, Haldi, Budiman, Noor, Azijah, M.Rezqy, Noor Ridha |
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Format: | Article |
Language: | English English |
Published: |
INTI International University
2024
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Subjects: | |
Online Access: | http://eprints.intimal.edu.my/2050/1/jods2024_51.pdf http://eprints.intimal.edu.my/2050/2/591 http://eprints.intimal.edu.my/2050/ http://ipublishing.intimal.edu.my/jods.html |
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