DEEPBIN: Deep Learning Based Garbage Classification for Households Using Sustainable Natural Technologies-Reference-Cited by-同舟云学术

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DEEPBIN: Deep Learning Based Garbage Classification for Households Using Sustainable Natural Technologies

Published:2023-12-19 Issue:1 Volume:22 Page:
ISSN:1570-7873
Container-title:Journal of Grid Computing
language:en
Short-container-title:J Grid Computing

Author:

Song Yu,He Xin,Tang Xiwang,Yin Bo,Du Jie,Liu Jiali,Zhao Zhongbao,Geng Shigang

Funder

Department of Education of Hebei Province

Project of science and technology of Hebei Province

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Link

https://link.springer.com/content/pdf/10.1007/s10723-023-09722-6.pdf

Reference33 articles.

1. Likotiko, E., Matsuda, Y., Yasumoto, K.: Garbage content estimation using internet of things and machine learning. IEEE Access (2023)

2. Nowakowski, P., Pamuła, T.: Application of deep learning object classifier to improve e-waste collection planning. Waste Manag. 109, 1–9 (2020)

3. Meena, M., et al.: Waste classification for sustainable development using image recognition with deep learning neural network models. Sustainability 14(12), 7222 (2022)

4. Alsubaei, F.S., Al-Wesabi, F.N., Hilal, A.M.: Deep learning-based small object detection and classification model for garbage waste management in smart cities and iot environment. Appl. Sci. 12(5), 2281 (2022)

5. Wahyutama, A.B., Hwang, M.: YOLO-based object detection for separate collection of recyclables and capacity monitoring of trash bins. Electronics 11(9), 1323 (2022)

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Garbage FusionNet: A deep learning framework combining ResNet and Vision Transformer for waste classification;2024-08-02

2. Recyclable plastic waste segregation with deep learning based hand-eye coordination;Environmental Research Communications;2024-04-01

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