| Issue |
E3S Web Conf.
Volume 555, 2024
Relevant Issues of Ecology and Environmental Management (RIEEM-2024)
|
|
|---|---|---|
| Article Number | 04008 | |
| Number of page(s) | 6 | |
| Section | Environmental Management | |
| DOI | https://doi.org/10.1051/e3sconf/202455504008 | |
| Published online | 30 July 2024 | |
Applying machine learning techniques to waste classification: Development and analysis of a mobile application
1 Moscow Technical University of Communication and Informatics, 111024 Moscow, Russia
2 RUDN University, 117198 Moscow, Russia
* Corresponding author: erofeeva-vv@rudn.ru
Modern society is facing a large-scale problem of waste disposal, which is attracting more and more attention from both researchers and the public. According to the United States Environmental Protection Agency (US-EPA), the total generation of solid household waste in the world is about 2,924 million tons, which is approximately 1,2 kg per person per day. Using the hierarchy analysis method, an analysis of current commercial solutions was performed. As a result of a comparative analysis of applications, it was found that the model of the developed application surpasses the considered analogues according to the stated criteria.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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