Waste management 4.0: an application of a machine learning model to identify and measure household waste contamination—a case study in Australia

A Zaman - Sustainability, 2022 - mdpi.com
Waste management directly and indirectly contributes to all sustainable development goals.
Hence, the modernisation of the current ineffective management system through Industry 4.0 …

An evaluation of four key methods for monitoring household waste prevention campaigns in the UK

M Read, MK Gregory, PS Phillips - Resources, Conservation and Recycling, 2009 - Elsevier
Household waste prevention in England has been recognised in national strategy as a key
component for future sustainable practice. To support the policy agenda, the Department of …

Exploring Industry 4.0 technologies to enable circular economy practices in a manufacturing context: A business model proposal

DLM Nascimento, V Alencastro… - Journal of …, 2019 - emerald.com
Purpose The purpose of this paper is to explore how rising technologies from Industry 4.0
can be integrated with circular economy (CE) practices to establish a business model that …

Industry 4.0 based sustainable circular economy approach for smart waste management system to achieve sustainable development goals: A case study of Indonesia

YA Fatimah, K Govindan, R Murniningsih… - Journal of cleaner …, 2020 - Elsevier
Indonesia is facing a number of independently managed challenges related to the
collection, transportation, processing (composting, recycling), and landfill dependence on …

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 …

Modeling and prediction of regional municipal solid waste generation and diversion in Canada using machine learning approaches

M Kannangara, R Dua, L Ahmadi, F Bensebaa - Waste management, 2018 - Elsevier
The main objective of this study was to develop models for accurate prediction of municipal
solid waste (MSW) generation and diversion based on demographic and socio-economic …

Assessment of urban solid waste management systems for Industry 4.0 technology interventions and the circular economy

A Kanojia, C Visvanathan - Waste Management & Research, 2021 - journals.sagepub.com
The ongoing fourth industrial revolution, Industry 4.0 (I4. 0), is transforming various
industries across the globe. At the same time, resource scarcity with high consumption rates …

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 …

Revolutionizing municipal solid waste management (MSWM) with machine learning as a clean resource: Opportunities, challenges and solutions

MT Munir, B Li, M Naqvi - Fuel, 2023 - Elsevier
Effective municipal solid waste management is essential for public health, environmental
protection, economic benefits, and clean energy generation for future commercial …

Smart waste management 4.0: The transition from a systematic review to an integrated framework

D Kannan, S Khademolqorani, N Janatyan, S Alavi - Waste Management, 2024 - Elsevier
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 …