[HTML][HTML] Artificial intelligence-based solutions for climate change: a review

L Chen, Z Chen, Y Zhang, Y Liu, AI Osman… - Environmental …, 2023 - Springer
Climate change is a major threat already causing system damage to urban and natural
systems, and inducing global economic losses of over $500 billion. These issues may be …

Application of machine learning methods for the prediction of organic solid waste treatment and recycling processes: A review

H Guo, S Wu, Y Tian, J Zhang, H Liu - Bioresource technology, 2021 - Elsevier
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 …

Toward smarter management and recovery of municipal solid waste: A critical review on deep learning approaches

K Lin, Y Zhao, JH Kuo, H Deng, F Cui, Z Zhang… - Journal of Cleaner …, 2022 - Elsevier
Increasing generation of municipal solid waste, heterogeneity of waste composition, and
complex processes of waste management and recovery have limited the performance of …

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 …

Tackling environmental challenges in pollution controls using artificial intelligence: A review

Z Ye, J Yang, N Zhong, X Tu, J Jia, J Wang - Science of the Total …, 2020 - Elsevier
This review presents the developments in artificial intelligence technologies for
environmental pollution controls. A number of AI approaches, which start with the reliable …

Macro-nutrients recovery from liquid waste as a sustainable resource for production of recovered mineral fertilizer: Uncovering alternative options to sustain global …

B Sniatala, TA Kurniawan, D Sobotka, J Makinia… - Science of The Total …, 2023 - Elsevier
Global food security, which has emerged as one of the sustainability challenges, impacts
every country. As food cannot be generated without involving nutrients, research has …

A strength prediction model using artificial intelligence for recycling waste tailings as cemented paste backfill

C Qi, A Fourie, Q Chen, Q Zhang - Journal of Cleaner Production, 2018 - Elsevier
The recycling of waste tailings as cemented paste backfill (CPB) has attracted worldwide
attention because of the increasing environmental awareness during mineral resources …

[HTML][HTML] Groundwater quality forecasting modelling using artificial intelligence: A review

NFC Nordin, NS Mohd, S Koting, Z Ismail… - Groundwater for …, 2021 - Elsevier
This review paper closely explores the techniques and significances of the most potent
artificial intelligence (AI) approaches in a concise and integrated way, specifically in the …

A comparative study of black-box and white-box data-driven methods to predict landfill leachate permeability

M Ghasemi, M Samadi, E Soleimanian… - Environmental Monitoring …, 2023 - Springer
Due to the dynamic and complexity of leachate percolation within municipal solid waste
(MSW), planning and operation of solid waste management systems are challenging for …

Dissemination of antibiotic resistance genes from landfill leachate to groundwater

FY Huang, Y Zhao, XY Zhou, H Li, X Zhang… - Journal of hazardous …, 2022 - Elsevier
Landfill leachate, a highly concentrated organic wastewater containing diverse
microorganisms and various heavy metals, has become an important reservoir of antibiotic …