L Yong, L Ma, D Sun, L Du - Plos one, 2023 - journals.plos.org
Today, the topic of waste separation has been raised for a long time, and some waste separation devices have been installed in large communities. However, the vast majority of …
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 …
R Aarthi, G Rishma - Procedia Computer Science, 2023 - Elsevier
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 research proposes a deep learning-based system, named deep CNN architecture, for the automated classification of the plastic resin in plastic waste. The system aims to detect …
NJ Sinthiya, TA Chowdhury, AKMB Haque - … Intelligence Techniques for …, 2022 - Springer
Smart waste management is an approach that utilizes modern technology to manage waste materials in effective, efficient, and economical way. Artificial intelligence offers various …
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 …
Over the past few decades, increased attention has been paid to domestic waste (DW) generation. DW comprises a large percentage of municipal solid waste (MSW), and its …
Resource recycling is considered necessary for sustainable development, especially in smart cities where increased urbanization and the variety of waste generated require the …
In recent years, object detection has gained significant interest and is considered a challenging problem in computer vision. Object detection is mainly employed for several …