Biomass-derived activated carbon nanocomposites for cleaner production: a review on aspects of photocatalytic pollutant degradation

K Rasouli, J Rasouli, MS Mohtaram, S Sabbaghi… - Journal of Cleaner …, 2023 - Elsevier
Nowadays, water contamination resulting from the disposal of industrial and urban waste
poses a significant threat to marine life and human. Hence, providing an effective treatment …

[HTML][HTML] A review on membrane fouling prediction using artificial neural networks (ANNs)

WH Abuwatfa, N AlSawaftah, N Darwish, WG Pitt… - Membranes, 2023 - mdpi.com
Membrane fouling is a major hurdle to effective pressure-driven membrane processes, such
as microfiltration (MF), ultrafiltration (UF), nanofiltration (NF), and reverse osmosis (RO) …

Unlocking synergies between waste management and climate change mitigation to accelerate decarbonization through circular-economy digitalization in Indonesia

TA Kurniawan, C Meidiana, HH Goh, D Zhang… - Sustainable Production …, 2024 - Elsevier
As one of popular destinations in Indonesia for tourism, Lombok Island has been confronted
with an overgeneration of solid waste recently. About 600 metric ton (Mt) of the waste is …

[HTML][HTML] Unlocking the potential of wastewater treatment: Machine learning based energy consumption prediction

Y Alali, F Harrou, Y Sun - Water, 2023 - mdpi.com
Wastewater treatment plants (WWTPs) are energy-intensive facilities that fulfill stringent
effluent quality norms. Energy consumption prediction in WWTPs is crucial for cost savings …

[HTML][HTML] A review on applications of artificial intelligence in wastewater treatment

Y Wang, Y Cheng, H Liu, Q Guo, C Dai, M Zhao, D Liu - Sustainability, 2023 - mdpi.com
In recent years, artificial intelligence (AI), as a rapidly developing and powerful tool to solve
practical problems, has attracted much attention and has been widely used in various areas …

A review of computational modeling in wastewater treatment processes

MS Duarte, G Martins, P Oliveira, B Fernandes… - ACS Es&t …, 2023 - ACS Publications
Wastewater treatment companies are facing several challenges related to the optimization of
energy efficiency, meeting more restricted water quality standards, and resource recovery …

An algorithm for selecting a machine learning method for predicting nitrous oxide emissions in municipal wastewater treatment plants

B Szeląg, E Zaborowska, J Mąkinia - Journal of Water Process Engineering, 2023 - Elsevier
This study presents an advanced algorithm for selecting machine learning (ML) models for
nitrous oxide (N 2 O) emission prediction in wastewater treatment plants (WWTPs) …

[HTML][HTML] A comprehensive analysis of the emerging modern trends in research on photovoltaic systems and desalination in the era of artificial intelligence and …

LD Jathar, K Nikam, UV Awasarmol, R Gurav, JD Patil… - Heliyon, 2024 - cell.com
Integration of photovoltaic (PV) systems, desalination technologies, and Artificial Intelligence
(AI) combined with Machine Learning (ML) has introduced a new era of remarkable …

Comparing artificial and deep neural network models for prediction of coagulant amount and settled water turbidity: Lessons learned from big data in water treatment …

S Lin, J Kim, C Hua, S Kang, MH Park - Journal of Water Process …, 2023 - Elsevier
Abstract Machine learning has been applied to the modeling of water treatment processes.
While machine learning models have a great ability to handle nonlinear relationships in the …

[HTML][HTML] Microalgae-enabled wastewater remediation and nutrient recovery through membrane photobioreactors: recent achievements and future perspective

PS Goh, NA Ahmad, JW Lim, YY Liang, HS Kang… - Membranes, 2022 - mdpi.com
The use of microalgae for wastewater remediation and nutrient recovery answers the call for
a circular bioeconomy, which involves waste resource utilization and ecosystem protection …