Identifying Risk Factors and Predicting Food Security Status using Supervised Machine Learning Techniques-Reference-Cited by-同舟云学术

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Identifying Risk Factors and Predicting Food Security Status using Supervised Machine Learning Techniques

Published:2021-11-22 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Information and Communication Technology for Development for Africa (ICT4DA)
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Author:

Alelign Melaku¹,Abuhay Tesfamariam M²,Letta Adane³,Dereje Tizita¹

Affiliation:

1. University of Gondar,Information Science,Gondar,Ethiopia

2. University of Gondar,Information System,Gondar,Ethiopia

3. University of Gondar,Computer Science,Gondar,Ethiopia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9671264/9671265/09672241.pdf?arnumber=9672241

Reference30 articles.

1. The Use of Support Vector Machine to Analyze Food Security in a Region of Brazil

2. Determinants of food security among rural households of Central Ethiopia: An empirical analysis;beyene;Quart J Int Agr,2010

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Prediction of Household Food Security Status using Ensemble Learning Models;International Journal of Sensors, Wireless Communications and Control;2022-10

2. A Comparison of Machine Learning and Deep Learning Models for Predicting Household Food Security Status;International Journal of Electrical and Electronics Research;2022-06-30

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