… waste production, and researchers have sought to use advanced technology to solve this
problem. Machine learning (… to promote municipal solid waste management (MSWM) and help …

… waste management by predicting the probability of the waste level in trash bins. By using
machine learning and graph theory, the system can optimize the collection of waste with the …

… machine learning based household waste management system for Green smart society are
aimed to make management of waste … waste in the smart way so that benefit from the waste …

… Therefore, this section concentrates on the current state-of-the-art of the Smart Waste
Management both in research and practical domains. The Smart Waste Management is very broad …

… the reality is, there is a lot of waste. So, we are proposing an automated waste classification
problem utilizing Machine Learning and Deep Learning algorithms. The goal of this task is to …

… machine learning and an IoT-based mechanism to effectively handle smart garbage management
… improved accuracy compared to traditional garbage collection systems. The proposed …

… We recommend using the introductory machine learning algorithm here, which can greatly
change simple techniques and success levels. The machine import algorithm combines new …

… and measure household waste contamination. This study used video footage and the machine
learning model to identify any particular items of interest during kerbside waste collection. …

… solid waste management, the diverse machine learning tools at … to establish efficient waste
management systems. Furthermore, … machine learning for proficient municipal solid waste …

… of waste and subsequent landfills. Once the recycling is done to sort metals, plastics, and
glass articles, the use of biodegradable waste can be … the use of machine learning and artificial …