Abstract Smart Waste Management (SWM) discusses the waste management process for
different types of waste while introducing an intelligent approach to controlling the amount of …

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 …

Waste collection, classification, and planning have become crucial as industrialization and
smart city advancement activities have increased. A recycling process of waste relies on the …

Increasing waste generation has become a significant issue over the globe due to the rapid
increase in urbanization and industrialization. In the literature, many issues that have a …

Long Range Wide Area Network (LoRaWAN) has rapidly become one of the key enabling
technologies for the development of Internet of Things (IoT) architectures. A wide range of …

The quantity of waste generated is increasing daily, demanding an intelligent waste
management system for effective and timely solutions. Pollution induced by garbage has …

This review appraised current research on enzyme-embedded biodegradable agricultural
plastics and microbial degradation, given that the increased use of fossil-fuel-based plastics …

An increasing number of researchers are using deep learning technology to classify and
process garbage in rural areas, and have achieved certain results. However, the existing …

In this paper, public services are analyzed for implementations of Industry 4.0 tools to satisfy
citizen expectations. To be able to prioritize public services for digitalization, fuzzy Z-AHP …

Waste management is one of the challenges facing countries globally, leading to the need
for innovative ways to design and operationalize smart waste bins for effective waste …