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1 Ergebnisse
1
Parcel Damage Classification using Computer Vision: A Deep ..:
, In:
2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)
,
Chaudhary, Kanika
;
Singh, Akanksha
- p. 1-6 , 2024
Link:
https://doi.org/10.1109/IATMSI60426.2024.10503363
RT T1 <cTitle>2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)</cTitle>: T1 <Title>Parcel Damage Classification using Computer Vision: A Deep Learning Approach for Shipment Quality Assessment</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10503363&Exemplar=1&LAN=DE A1 Chaudhary, Kanika A1 Singh, Akanksha YR 2024 K1 Support vector machines K1 Deep learning K1 Computer vision K1 Customer satisfaction K1 Quality control K1 Loss measurement K1 Vectors K1 Parcel Damage Classification K1 Computer Vision K1 Shipment Quality K1 Deep Learning K1 Convolutional Neural Networks K1 Support Vector Machine K1 Ensemble Model SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/IATMSI60426.2024.10503363 DO https://doi.org/10.1109/IATMSI60426.2024.10503363 SF ELIB - SuUB Bremen
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