Sludge Snap: a machine learning approach to fecal sludge characterization in the field
conference contribution
posted on 2021-10-25, 09:57 authored by Barbara J. Ward, Joseph Allen, Andres Escamilla, Devin Sivick, Brandon Sun, Kimberly Yu, Robert Dahlberg, Ruixin Niu, Bennett C. Ward, Linda StrandeThis 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 ConferenceSource
42nd WEDC International Conference. Equitable and Sustainable WASH Services: Future challenges in a rapidly changing worldPublisher
WEDC, Loughborough UniversityVersion
- VoR (Version of Record)
Rights holder
© WEDC, Loughborough UniversityCopyright date
2021Language
- en
Location
Virtual ConferenceEvent dates
13-15 September 2021Article number
3307Usage metrics
Categories
No categories selectedLicence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC