E-waste Classification Using Pre-trained Deep Learning CNN Model

Author:

Al Hossain Mirsad,Akash Saiful Islam,Fahim Sajid Faysal,Arifin Zaman Md.,Motaharul Islam Md.

Publisher

Springer Nature Singapore

Reference16 articles.

1. UN Report: Time to seize opportunity, tackle challenge of E-waste, UN Environment [Online]. Available: https://www.unep.org/news-and-stories/press-release/un-report-timeseize-opportunity-tackle-challenge-E-waste. Accessed 23 Mar 2023

2. The growing environmental risks of E-waste. Geneva Environment Network (n.d.). https://www.genevaenvironmentnetwork.org/resources/updates/the-growing-environmental-risks-of-E-waste/

3. Halim L, Suharyanti YO (2020) E-waste: current research and future perspective on developing countries. Int J Indus Eng Eng Manag 1:25. https://doi.org/10.24002/ijieem.v1i2.3214

4. Kandel, Abhishek & On (2022) A REPORT on e-waste management E-waste management

5. Shawpnil K, Nayeem S, Hossain F, Dayan A, Islam MM (2023) EasyE-waste: a novel approach towards efficient and sustainable E-waste management. In: 2023 6th Springer ınternational conference on ıntelligent sustainable systems (ICISS), SCAD College of Engineering and Technology, Tirunelveli, India

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