Algorithm Based on Deep Learning Techniques for Classification of Solid Waste in Recycling Plants-Reference-Cited by-同舟云学术

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Algorithm Based on Deep Learning Techniques for Classification of Solid Waste in Recycling Plants

Published:2023-12-22 Issue: Volume: Page:211-217
ISSN:
Container-title:2023 IEEE 15th International Conference on Computational Intelligence and Communication Networks (CICN)
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Author:

Carrillo Cesar Peña¹,Rodriguez Ciro¹,Loli Martha Gonzales²,Recarte Amador Vivar¹,Aldorarin Diego Ampuero¹,Rodriguez Diego³

Affiliation:

1. Villarreal, UNFV,Facultad de Ingenieria Electronica e Informatica Universidad Nacional Federico,Lima,Peru

2. Universidad Nacional Federico, Villarreal, UNFV,Facultad de Derecho y Ciencia Politica,Lima,Peru

3. Medicina, Facultad de Ciencias de la, Salud, Universidad Peruana de Ciencias, Aplicadas, UPC,Lima,Peru

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10402119/10402128/10402176.pdf?arnumber=10402176

Reference20 articles.

1. On certain integrals of Lipschitz-Hankel type involving products of bessel functions

2. Classification of Organic and Solid Waste Using Deep Convolutional Neural Networks

3. Intelligent Waste Sorting Bin for Recyclable Municipal Solid Waste

4. ScrapNet: An Efficient Approach to Trash Classification

5. Recent advances in applications of artificial intelligence in solid waste management: A review

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