Solid Waste Generation and Disposal Using Machine Learning Approaches
A survey focusing on the organization of waste management process flow in smart cities.
The survey, conducted by Dr Ali Tufail and his collaborators, involved reviewing 42 articles published between 2010 and 2021, extracting data from objectives of studies, ML adoption trends, datasets of waste, relevant variables, and Artificial intelligence, Machine Learning and/or Deep Learning predictive models of waste generation. It was found that most studies performed waste material classification and calculated the amount of generated waste per area, and waste filling levels per location. The features used for training such models are demographic data and images of waste type and fill levels. computational models.
The survey was focused on waste generation and disposal phases in which removal of solid waste by citizens, households, and municipalities are done by applying intelligent computational models.
The paper is open access and published in the MDPI Sustainability journal found here.
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