Comparing modified Yolo V5 and Faster Regional Convolutional Neural Network performance for Recycle Waste Classification-Reference-Cited by-同舟云学术

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Comparing modified Yolo V5 and Faster Regional Convolutional Neural Network performance for Recycle Waste Classification

Published:2024-06-29 Issue: Volume: Page:415-419
ISSN:
Container-title:2024 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)
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Author:

Hamzah Raseeda¹,Ang Li²,Roslan Rosniza¹,Ibrahim Teo Noor Hasimah¹,Abdul Samad Khairunnisa³,Fariza Abu Samah Khyrina Airin¹

Affiliation:

1. Universiti Teknologi MARA (UiTM),College of Computing, Informatics and Mathematics,Melaka,Malaysia

2. Jiujiang Vocational University,College of Information Engineering,Jiu Jiang,Jiang Xi,China

3. UiTM Cawangan Melaka, Malaysia (UiTM),Faculty of Business Management

Funder

Universiti Teknologi MARA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10649806/10649618/10649835.pdf?arnumber=10649835

Reference14 articles.

1. Artificial Intelligence in Sustainable Development of Municipal Solid Waste Management;Ashutosh;International Journal For Science Technology And Engineering,2023

2. Role of Artificial Intelligence in Municipal Solid Waste Management

3. Artificial intelligence for waste management in smart cities: a review

4. Application of artificial intelligence techniques in municipal solid waste management: a systematic literature review

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