Loughborough University
Browse
1/1
2 files

Validation of household sanitation classification using artificial intelligence software within a market-based sanitation intervention in Uganda

Download all (58.27 MB)
conference contribution
posted on 2021-11-02, 14:34 authored by Patricia Namakula, Leland Smith, Jonathan Annis
This record includes an extended abstract and MP4 presentation. Presented at the 42nd WEDC International Conference.

History

School

  • Architecture, Building and Civil Engineering

Research Unit

  • Water, Engineering and Development Centre (WEDC)

Published in

Equitable and Sustainable WASH Services: Future challenges in a rapidly changing world. Proceedings of the 42nd WEDC International Conference

Source

42nd WEDC International Conference. Equitable and Sustainable WASH Services: Future challenges in a rapidly changing world

Publisher

WEDC, Loughborough University

Version

  • VoR (Version of Record)

Rights holder

© WEDC, Loughborough University

Copyright date

2021

Language

  • en

Location

Virtual Conference

Event dates

13-15 September 2021

Article number

3308

Usage metrics

    WEDC 42nd International Conference

    Categories

    No categories selected

    Keywords

    Uganda Sanitation for Health Activity (USHA)Community Led Total Sanitation (CLTS)JMPWHOUNICEFMachine Learning (ML)Artificial Intelligence (AI)USAIDOpen Data Kit (ODK)WaterSanitationHygiene (WASH)

    Licence

    CC BY-NC-ND 4.0

    Exports