Deep Learning for Plastic Waste Classification System

Plastic waste management is a challenge for the whole world. Manual sorting of garbage is a difficult and expensive process, which is why scientists create and study automated sorting methods that increase the efficiency of the recycling process. The plastic waste may be automatically chosen on a tr...

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Veröffentlicht in:	Applied Computational Intelligence and Soft Computing Jg. 2021; S. 1 - 7
Hauptverfasser:	Bobulski, Janusz, Kubanek, Mariusz
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Hindawi 2021 John Wiley & Sons, Inc Wiley
Schlagworte:	Artificial intelligence Artificial neural networks Cable television broadcasting industry Cameras Classification Consumption Deep learning Economic justification Garbage Image processing Image transmission Lasers Machine learning Materials management Methods Municipal waste management Neural networks Plastics Polyethylene Polyethylene terephthalate Polystyrene resins Portable equipment Principal components analysis Recycling Recycling (Waste, etc.) Software Spectrum analysis United States Waste management United States
ISSN:	1687-9724, 1687-9732
Online-Zugang:	Volltext
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