TrashNeXt: Classification of recyclable water pollutants using deep transfer learning method
An automatic waste classification system embedded with higher accuracy and precision of convolution neural network (CNN) model can significantly the reduce manual labor involved in recycling. The ConvNeXt architecture has gained remarkable improvements in image recognition. A larger dataset, called...
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Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2025-06-01
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Series: | Case Studies in Chemical and Environmental Engineering |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2666016424004675 |
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