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Innovative Poverty Estimation through Machine Learning Approaches

  • Published:2023-11-06 Issue: Volume: Page:154-158
  • ISSN:
  • Container-title:2023 18th International Conference on Emerging Technologies (ICET)
  • language:
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Author:

Mashhood Ahmad1,Abideen Zain ul2,Arshad Usama1,Ali Raja Hashim1,Khan Ammad Aslam3,Khan Bahram1

Affiliation:

1. GIK Institute of Engg. Sciences & Technology,Faculty of Computer Science & Engineering,Topi,Pakistan

2. BCMaterials Basque Center for Materials, Applications & Nanostructure,Leioa, Basque Country,Spain

3. M.A. Road, Satellite Town, Virtual University of Pakistan,Dept. of Biological Sciences,Rawalpindi,Pakistan

Publisher

IEEE

Reference20 articles.

1. A multifaceted program causes lasting progress for the very poor: Evidence from six countries

2. Combining satellite imagery and machine learning to predict poverty

3. Deep learning for poverty prediction using census data;Nandi,2018

4. Support vector machine for poverty prediction using census data;Bhattacharya,2019

5. FUSCD - Future Smart Car Driver

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