… , (2) had a clear description of the ML model used, and (3) language was limited to English.
Review articles, wastewater treatment, and others unrelated to MSWM were not included in …

… waste-collecting trucks collect waste just once or twice in seven days. Due to improper waste
collection practices, the waste … and effective waste management using machine learning (…

… 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 … the collection and decomposition of waste in the smart …

… 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 …

… in addition to the management of the waste. In this paper, we present and IoT-based smart
bin using a machine and deep learning model to manage the disposal of garbage and to …

… household waste contamination. This study used video footage and the machine learning
model to identify any particular items of interest during kerbside waste collection. The WM4.0 …

… 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 …

… waste management system with machine learning algorithm to collect and predict the waste
accurately. … This section introduces the intelligent waste management system that contains …

… of IoT and machine learning (ML) in the SWM to predict waste generation, waste classification,
… The article covers the application of each ML model for the activities, including SWM, …