Recycling Material Classification using Convolutional Neural Networks

Kaihua Liu; Xudong Liu

doi:10.1109/ICMLA55696.2022.00019

Recycling Material Classification using Convolutional Neural Networks

Kaihua Liu, Xudong Liu

School of Computing

University of North Florida

Research output: Chapter or Contribution to Book › Literary contribution

Original language	English
Title of host publication	Proceedings - 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022
Editors	M. Arif Wani, Mehmed Kantardzic, Vasile Palade, Daniel Neagu, Longzhi Yang, Kit-Yan Chan
Pages	83-88
Number of pages	6
ISBN (Electronic)	9781665462839
DOIs	https://doi.org/10.1109/ICMLA55696.2022.00019
State	Published - 2022
Event	21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022 - Nassau, Bahamas Duration: Dec 12 2022 → Dec 14 2022

Publication series

Name	Proceedings - 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022

Conference

Conference	21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022
Country/Territory	Bahamas
City	Nassau
Period	12/12/22 → 12/14/22

ASJC Scopus Subject Areas

Computer Vision and Pattern Recognition
Computer Science Applications
Artificial Intelligence
Hardware and Architecture

Keywords

convolutional neural networks
image classification
machine learning
recycling materials

Access to Document

10.1109/ICMLA55696.2022.00019

Cite this

Liu, K., & Liu, X. (2022). Recycling Material Classification using Convolutional Neural Networks. In M. A. Wani, M. Kantardzic, V. Palade, D. Neagu, L. Yang, & K.-Y. Chan (Eds.), Proceedings - 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022 (pp. 83-88). (Proceedings - 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022). https://doi.org/10.1109/ICMLA55696.2022.00019

Recycling Material Classification using Convolutional Neural Networks. / Liu, Kaihua; Liu, Xudong.
Proceedings - 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022. ed. / M. Arif Wani; Mehmed Kantardzic; Vasile Palade; Daniel Neagu; Longzhi Yang; Kit-Yan Chan. 2022. p. 83-88 (Proceedings - 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022).

Research output: Chapter or Contribution to Book › Literary contribution

Liu, K & Liu, X 2022, Recycling Material Classification using Convolutional Neural Networks. in MA Wani, M Kantardzic, V Palade, D Neagu, L Yang & K-Y Chan (eds), Proceedings - 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022. Proceedings - 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022, pp. 83-88, 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022, Nassau, Bahamas, 12/12/22. https://doi.org/10.1109/ICMLA55696.2022.00019

Liu K, Liu X. Recycling Material Classification using Convolutional Neural Networks. In Wani MA, Kantardzic M, Palade V, Neagu D, Yang L, Chan KY, editors, Proceedings - 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022. 2022. p. 83-88. (Proceedings - 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022). doi: 10.1109/ICMLA55696.2022.00019

Liu, Kaihua ; Liu, Xudong. / Recycling Material Classification using Convolutional Neural Networks. Proceedings - 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022. editor / M. Arif Wani ; Mehmed Kantardzic ; Vasile Palade ; Daniel Neagu ; Longzhi Yang ; Kit-Yan Chan. 2022. pp. 83-88 (Proceedings - 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022).

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Recycling Material Classification using Convolutional Neural Networks

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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