Artificial intelligence applications for sustainable solid waste management practices in Australia: A systematic review

L Andeobu, S Wibowo, S Grandhi - Science of The Total Environment, 2022 - Elsevier
Solid waste generation and its impact on human health and the environment have long
been a matter of concern for governments across the world. In recent years, there has been …

Solid waste management during COVID-19 pandemic: Recovery techniques and responses

E Singh, A Kumar, R Mishra, S Kumar - Chemosphere, 2022 - Elsevier
Solid waste management (SWM) is a service of public health that is often understated in its
significance. If a public health emergency like the COVID-19 outbreak exacerbates the SWM …

Artificial intelligence applications in solid waste management: A systematic research review

M Abdallah, MA Talib, S Feroz, Q Nasir, H Abdalla… - Waste Management, 2020 - Elsevier
The waste management processes typically involve numerous technical, climatic,
environmental, demographic, socio-economic, and legislative parameters. Such complex …

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 …

Deep learning in the industrial internet of things: Potentials, challenges, and emerging applications

RA Khalil, N Saeed, M Masood, YM Fard… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Recent advances in the Internet of Things (IoT) are giving rise to a proliferation of
interconnected devices, allowing the use of various smart applications. The enormous …

Innovation designs of industry 4.0 based solid waste management: Machinery and digital circular economy

CG Cheah, WY Chia, SF Lai, KW Chew, SR Chia… - Environmental …, 2022 - Elsevier
Abstract The Industrial Revolution 4.0 (IR 4.0) holds the opportunity to improve the efficiency
of managing solid waste through digital and machinery applications, effectively eliminating …

The classification of construction waste material using a deep convolutional neural network

P Davis, F Aziz, MT Newaz, W Sher, L Simon - Automation in construction, 2021 - Elsevier
The management of Construction and Demolition Waste (C&DW) is complex and adds
significantly to the overall life cycle cost of projects. On site waste sorting using technologies …

Environmental survival of SARS-CoV-2–a solid waste perspective

M Iyer, S Tiwari, K Renu, MY Pasha, S Pandit… - Environmental …, 2021 - Elsevier
The advent of COVID-19 has kept the whole world on their toes. Countries are maximizing
their efforts to combat the virus and to minimize the infection. Since infectious …

Metaheuristics with deep transfer learning enabled detection and classification model for industrial waste management

S Neelakandan, M Prakash, BT Geetha, AK Nanda… - Chemosphere, 2022 - Elsevier
Rapid industrialization has led to the generation of a considerable amount of waste, both
solid and liquid, in industrial fields like food processing, sugar, pulp, sago or starch, dairies …

Intelligent solid waste classification using deep convolutional neural networks

A Altikat, A Gulbe, S Altikat - International Journal of Environmental …, 2022 - Springer
Parallel to the rapid growth of the population, the rate of consumption is increasing all over
the world; this causes significant increases in the amount of waste. Thanks to the recycling of …