Most read articles by the same author(s)
Zarnigora Hokimjonova, Credit Score Classication Using CNN-Based 2D Image Transformation and Machine Learning Integration , Modern Science and Research: Vol. 4 No. 5 (2025): Modern science and research
07-06-2025
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Predicting socio-economic status from satellite imagery using machine learning algorithm
This thesis explores the integration of satellite imagery and machine learning to predict socio-economic status (SES) across geographic regions. Traditional SES data collection methods, like surveys and censuses, are costly and infrequent. This study demonstrates how Convolutional Neural Networks (CNNs) provide a scalable, costecient alternative for estimating SES based on landscape features visible in satellite images.
