With the advent of new technologies such as the Artificial Intelligence of Things (AIoT), big
data, fog computing, and edge computing, smart city applications have suffered from issues …

Conventional treatment and recycling methods of organic solid waste contain inherent flaws,
such as low efficiency, low accuracy, high cost, and potential environmental risks. In the past …

Internet of Things (IoT) is a system that integrates different devices and technologies,
removing the necessity of human intervention. This enables the capacity of having smart (or …

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 …

Population growth and the acceleration of urbanization have led to a sharp increase in
municipal solid waste production, and researchers have sought to use advanced technology …

Domestic waste classification was incorporated into legal provisions recently in China.
However, relying on manpower to detect and classify domestic waste is highly inefficient. To …

The current electric power system witnesses a significant transition into Smart Grids (SG) as
a promising landscape for high grid reliability and efficient energy management. This …

The proper handling of waste is one of the biggest challenges of modern society. Municipal
Solid Waste (MSW) requires categorization into a number of types, including bio, plastic …

With the rapid development of deep learning technology, a variety of network models for
classification have been proposed, which is beneficial to the realization of intelligent waste …

Big sensor-based data systems and the emergence of large-scale wireless sensor networks
(LS-WSNs), which are spatially distributed across various geographical areas in smart cities …