Applying a deep residual network coupling with transfer learning for recyclable waste sorting

Recyclable waste sorting has become a key step for promoting the development of a circular economy with the gradual realization of carbon neutrality around the world. This study aims to develop an intelligent and efficient method for recyclable waste sorting by the method of deep learning. Thus, RWN...

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Detalles Bibliográficos
Autores principales: Lin, Kunsen, Zhao, Youcai, Gao, Xiaofeng, Zhang, Meilan, Zhao, Chunlong, Peng, Lu, Zhang, Qian, Zhou, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9323877/
https://www.ncbi.nlm.nih.gov/pubmed/35882737
http://dx.doi.org/10.1007/s11356-022-22167-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9323877/
https://www.ncbi.nlm.nih.gov/pubmed/35882737
http://dx.doi.org/10.1007/s11356-022-22167-w

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