Urbanisation is leading to a concentration of growing city populations that contribute
significantly to economic growth, while becoming epicentres of waste generation …

The information and communication technology (ICT) makes the smart city exchange
information with the general public and deliver higher-quality services to citizens. The …

We present a survey of machine learning works that attempt to organize the process flow of
waste management in smart cities. Unlike past reviews, we focused on the waste generation …

Biorefinery systems are playing pivotal roles in the technological support of resource
efficiency for circular bioeconomy. Meanwhile, artificial intelligence presents great potential …

This paper explores methodologies to enhance the integration of a green supply chain
circular economy within smart cities by incorporating machine learning technology. To refine …

Increasing generation of municipal solid waste, heterogeneity of waste composition, and
complex processes of waste management and recovery have limited the performance of …

Food waste is a global issue with significant economic, social, and environmental impacts.
Addressing this problem requires a multifaceted approach; one promising avenue is using …

Waste management is one of the primary problem that the world faces irrespective of the
case of developed or developing country. The key issue in the waste management is that the …

Solid waste management (SWM) is a crucial management entity in urban cities to handle the
waste from its generation to disposal to accomplish a clean environment. The waste …

Abstract Machine learning (ML) algorithms, such as neural networks, random forest, and
more recent deep learning, are illustrating their utility for waste recycling. The increasing …