… data, process it, and transmit it to a central monitoring station for storage and analysis. An …
routes can be obtained through machine learning algorithms for waste collection trucks. …

… Application of smart ICT in waste management can lead to substantial … smart cities providing
citizen services for an improved quality of life using data analytics and business intelligence. …

… solidwaste collection problems in other cities … analysis, we used the traditional inclusion
and exclusion criteria. We included a paper if it described 1) an IoT-enabled waste management …

… tracking capacities storage waste processing analysis and … garbage management solution
based on machine learning (ML) … cities can be achieved using the machine learning method. …

… , Smart Cities use Smart Waste Management System. This paper has provided an overview
of a typical Smart Waste Management … data analytics, the Smart Waste management system …

… analysis of different framework for waste management models … IoT-based trash management
systems in smart cities, while … deep learning algorithm to create a smart trash management …

… In this study, we developed a waste management model that integrates IoT-enabled bins, …
the entire waste management lifecycle, from its generation to final disposal, employing the …

… A detailed analysis of various wireless communication … in this aspect by utilizing machine
learning (ML) algorithms to … establish intelligent waste management practices in smart cities …

… reinforcement learning. The finding outcomes show that IoT … Critical analysis of energy
saving in smart cities is observed by … and storage, waste management and traffic conditions. …

… In addition, data activation and application analysis are essential in smart cities [32]. … machine
learning algorithms so that it can be used in an effective way in smart waste management. …