基于深度学习模型的废塑料瓶分类

Q4 Engineering

International Journal of Wireless and Mobile Computing Pub Date : 2023-01-01 DOI:10.1504/ijwmc.2023.134675

Jixu Hou, Xiaofeng Xie, Wenwen Wang, Qian Cai, Zhengjie Deng, Houqun Yang, Hongnian Huang, Yizhen Wang

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Waste plastic bottles classification with deep learning model

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来源期刊

International Journal of Wireless and Mobile Computing Computer Science-Computer Science (all)

CiteScore

0.80

自引率

0.00%

发文量

期刊介绍： The explosive growth of wide-area cellular systems and local area wireless networks which promise to make integrated networks a reality, and the development of "wearable" computers and the emergence of "pervasive" computing paradigm, are just the beginning of "The Wireless and Mobile Revolution". The realisation of wireless connectivity is bringing fundamental changes to telecommunications and computing and profoundly affects the way we compute, communicate, and interact. It provides fully distributed and ubiquitous mobile computing and communications, thus bringing an end to the tyranny of geography.