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Image processing and development of a deep learning model for classifying and identifying electronic waste in a reverse logistics system.

Grant number: 22/14537-5
Support Opportunities:Scholarships in Brazil - Technical Training Program - Technical Training
Start date: December 01, 2022
End date: April 30, 2023
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computer Systems
Principal Investigator:Raul Julian Revelo Tobar
Grantee:Filomen Incahuanaco Quispe
CNAE: Coleta de resíduos não-perigosos
Coleta de resíduos perigosos
Atividades profissionais, científicas e técnicas não especificadas anteriormente
Associated research grant:22/09178-6 - An automated identification and traceability system for reverse logistics operation of waste electrical and electronic equipment, AP.PIPE
News published in Agência FAPESP Newsletter about the scholarship:
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VEICULO: TITULO (DATA)