Applying machine learning techniques to waste classification: Development and analysis of a mobile application

Autor: Polyantseva Ksenia, Erofeeva Viktoriya
Jazyk: English<br />French
Rok vydání: 2024
Předmět:
Zdroj: E3S Web of Conferences, Vol 555, p 04008 (2024)
Druh dokumentu: article
ISSN: 2267-1242
DOI: 10.1051/e3sconf/202455504008
Popis: 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.
Databáze: Directory of Open Access Journals