With urbanization, rising income and consumption, the production of waste increases. One
of the most important directions in the field of sustainable development is the design and …

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 …

Recently, the concept of Digital Twin [DT] has pervaded the field of urban planning and city
infrastructure management. This paper first affirms that the knowledge created by virtue of …

Solid waste management is one of the utmost vital issues allied with the smart city, which
harms our society's health and the environment. Solid waste management has been a …

Increasing waste generation has become a key challenge around the world due to the
dramatic expansion in industrialization and urbanization. This study focuses on providing …

Smart waste management is an approach that utilizes modern technology to manage waste
materials in effective, efficient, and economical way. Artificial intelligence offers various …

Urbanization reached severe dimensions as a result of rising population density and rural
flight to cities, posing a massive waste generating problem in cities. Increased garbage …

The issue of rational waste management in Ukraine is quite acute. The system is in a state of
decay, because about 94% of waste ends up in landfills and, at the same time, has a …

Internet of things (IoT) is steadily increasing its presence across multiple areas. Its impact is
very significant in various application areas like agriculture, healthcare, smart cities and …

Convolutional Neural Networks (CNNs) enabled breakthroughs in computer vision. They are
also used in different domains of smart cities to process and analyze large amounts of image …