A survey of recent advances in edge-computing-powered artificial intelligence of things

Z Chang, S Liu, X Xiong, Z Cai… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) has created a ubiquitously connected world powered by a
multitude of wired and wireless sensors generating a variety of heterogeneous data over …

Computer vision for solid waste sorting: A critical review of academic research

W Lu, J Chen - Waste Management, 2022 - Elsevier
Waste sorting is highly recommended for municipal solid waste (MSW) management.
Increasingly, computer vision (CV), robotics, and other smart technologies are used for MSW …

Applications of convolutional neural networks for intelligent waste identification and recycling: A review

TW Wu, H Zhang, W Peng, F Lü, PJ He - Resources, Conservation and …, 2023 - Elsevier
With the implementations of “Zero Waste” and Industry 4.0, the rapidly increasing
applications of artificial intelligence in waste management have generated a large amount of …

Garbage classification system based on improved ShuffleNet v2

Z Chen, J Yang, L Chen, H Jiao - Resources, Conservation and Recycling, 2022 - Elsevier
Garbage classification technology is not only an important basis for the harmless treatment
of waste and resource recovery, but also the inevitable trend of social development. The …

<? COVID19?> detection of covid-19 from chest x-ray images using convolutional neural networks

B Sekeroglu, I Ozsahin - SLAS TECHNOLOGY: Translating …, 2020 - journals.sagepub.com
The detection of severe acute respiratory syndrome coronavirus 2 (SARS CoV-2), which is
responsible for coronavirus disease 2019 (COVID-19), using chest X-ray images has life …

What influences urban residents' intention to sort waste?: Introducing Taoist cultural values into TPB

S Lou, X Zhang, D Zhang - Journal of Cleaner Production, 2022 - Elsevier
To accelerate green and low-carbon development and improve resource utilization
efficiency, China has proposed a waste sorting policy. However, the smooth development of …

Smart waste management and classification systems using cutting edge approach

SM Cheema, A Hannan, IM Pires - Sustainability, 2022 - mdpi.com
With a rapid increase in population, many problems arise in relation to waste dumps. These
emits hazardous gases, which have negative effects on human health. The main issue is the …

Waste management in the smart city: current practices and future directions

D Szpilko, A de la Torre Gallegos, F Jimenez Naharro… - Resources, 2023 - mdpi.com
The discourse surrounding sustainability, particularly in the urban environment, has gained
considerable momentum in recent years. The concept of a smart city epitomises the …

Solid waste generation and disposal using machine learning approaches: a survey of solutions and challenges

A Namoun, A Tufail, MY Khan, A Alrehaili, TA Syed… - Sustainability, 2022 - mdpi.com
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 …

[HTML][HTML] Automatic classification of textile visual pollutants using deep learning networks

NH Tasnim, S Afrin, B Biswas, AA Anye… - Alexandria Engineering …, 2023 - Elsevier
Urban pollution is a massive global problem, especially in industrialized and developing
nations. Visual pollution is an issue concerned with the external noticeable appearance of …