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1 Ergebnisse
1
Comparative Analysis of Deep Learning Models and ResNet101-..:
, In:
2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA)
,
Amat, Rajat
;
Dash, Srikanta
;
Bhainsa, Srikanta
.. - p. 768-773 , 2023
Link:
https://doi.org/10.1109/ICIMIA60377.2023.10426057
RT T1 <cTitle>2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA)</cTitle>: T1 <Title>Comparative Analysis of Deep Learning Models and ResNet101-SVM Ensemble for Effective Garbage Classification</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10426057&Exemplar=1&LAN=DE A1 Amat, Rajat A1 Dash, Srikanta A1 Bhainsa, Srikanta A1 Mallick, Sunil A1 Padhan, Bikash YR 2023 K1 Deep learning K1 Waste management K1 Analytical models K1 Biological system modeling K1 Computational modeling K1 Feature extraction K1 Convolutional neural networks K1 Garbage classification K1 Deep Learning K1 Support Vector Machine K1 Image Processing K1 Machine Learning SP 768 OP 773 LK http://dx.doi.org/https://doi.org/10.1109/ICIMIA60377.2023.10426057 DO https://doi.org/10.1109/ICIMIA60377.2023.10426057 SF ELIB - SuUB Bremen
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