DEVELOPING A FRAMEWORK FOR LEVERAGING DEEP LEARNING AND VISION AI IN DEMOGRAPHIC SURVEYS

The article begins by identifying the limitations of traditional survey methods, including inefficiencies and inaccuracies, and positions Deep Learning and Vision AI as transformative tools. Key applications highlighted include automated age, gender, and ethnicity estimation, as well as environmental and sentiment analysis.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-22
DOI
https://doi.org/10.5281/zenodo.14542727
Primary Topic
Face recognition and analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

DEVELOPING A FRAMEWORK FOR LEVERAGING DEEP LEARNING AND VISION AI IN DEMOGRAPHIC SURVEYS

Zenodo (CERN European Organization for Nuclear Research)
Face recognition and analysis
article

DEVELOPING A FRAMEWORK FOR LEVERAGING DEEP LEARNING AND VISION AI IN DEMOGRAPHIC SURVEYS

article en

Abstract

The article begins by identifying the limitations of traditional survey methods, including inefficiencies and inaccuracies, and positions Deep Learning and Vision AI as transformative tools. Key applications highlighted include automated age, gender, and ethnicity estimation, as well as environmental and sentiment analysis.

Zenodo (CERN European Organization for Nuclear Research)
Tashkent University of Information Technology (UZ)
Gender equality
Openalex Percentile: Top 67%
Face recognition and analysis
DOIOpen Access PDFOpenAlex
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DEVELOPING A FRAMEWORK FOR LEVERAGING DEEP LEARNING AND VISION AI IN DEMOGRAPHIC SURVEYS · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS