Classification of Waste Objects Using Deep Convolutional Neural Networks-Reference-Cited by-同舟云学术

Classification of Waste Objects Using Deep Convolutional Neural Networks

Published:2021-11-09 Issue: Volume: Page:533-542
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
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Author:

Rishma G.,Aarthi R.

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-3690-5_47

Reference23 articles.

1. The World Bank (IBRD & IDA) Trends in solid waste management. https://datatopics.worldbank.org/what-a-waste/trends_in_solid_waste_management.html

2. Times of India. In 30 yrs., India tipped to double the amount of waste it generates. https://timesofindia.indiatimes.com/india/in-30-years-india-tipped-to-double-the-amount-of-waste-it-generates/articleshow/74454382.cms

3. Kambam LR, Aarthi R (2019) Classification of plastic bottles based on visual and physical features for waste management. In: 2019 IEEE international conference on electrical, computer and communication technologies (ICECCT), Coimbatore, India, pp 1–6. https://doi.org/10.1109/ICECCT.2019.8869191

4. Srigul W, Inrawong P, Kupimai M (2016) Plastic classification base on correlation of RGB color. In: 2016 13th international conference on electrical engineering/electronics, computer, telecommunications and information technology (ECTI-CON), Chiang Mai, pp 1–5. https://doi.org/10.1109/ECTICon.2016.7561304

5. Wang Z, Peng B, Huang Y, Sun G (2019) Classification for plastic bottles recycling based on image recognition. Elsevier Waste Manag 88:170–181. ISSN 0956-053X. https://doi.org/10.1016/j.wasman.2019.03.032

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