Sustainable Waste Management with AI: Waste Classification Using Deep Learning and IoT-Based Analysis of CH4 Production-Reference-Cited by-同舟云学术

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Sustainable Waste Management with AI: Waste Classification Using Deep Learning and IoT-Based Analysis of CH4 Production

Published:2024-02-22 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE)
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Author:

Paneru Biplov¹,Bikram Shah Krishna²,Paneru Bishwash³,Bhattrai Nawraj⁴,Alexander Vikram⁵,Raj Pant Hem³,Narayan Poudyal Khem³,Nova Silvia⁵

Affiliation:

1. Nepal Engineering College,Dept. of Electronics & Communication Engineering,Bhaktapur,Nepal

2. Sikkim Manipal Institute of Technology, Sikkim Manipal University,Sikkim,India

3. Institute of Engineering,Dept. of Applied science and Chemical Engineering,Kathmandu,Nepal

4. Institute of Engineering,Dept. of Mechanical & Aerospace Engineering,Nepal

5. Universitas Sumatera Utara,Dept. of Chemical Engineering,Medan,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10493200/10493145/10493623.pdf?arnumber=10493623

Reference16 articles.

1. An overview of the environmental pollution and health effects associated with waste landfilling and open dumping

2. Environmental Sustainability Impacts of Solid Waste Management Practices in the Global South

3. The Impact of Artificial Intelligence on Waste Management for Climate Change

4. Classification of Organic and Solid Waste Using Deep Convolutional Neural Networks

5. Revealing influencing factors on global waste distribution via deep-learning based dumpsite detection from satellite imagery

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