[HTML][HTML] Digitalization to achieve sustainable development goals: Steps towards a Smart Green Planet

ME Mondejar, R Avtar, HLB Diaz, RK Dubey… - Science of The Total …, 2021 - Elsevier
Digitalization provides access to an integrated network of unexploited big data with potential
benefits for society and the environment. The development of smart systems connected to …

[HTML][HTML] Deep learning in wastewater treatment: a critical review

M Alvi, D Batstone, CK Mbamba, P Keymer, T French… - Water Research, 2023 - Elsevier
Modelling wastewater processes supports tasks such as process prediction, soft sensing,
data analysis and computer assisted design of wastewater systems. Wastewater treatment …

Data to intelligence: The role of data-driven models in wastewater treatment

M Bahramian, RK Dereli, W Zhao, M Giberti… - Expert Systems with …, 2023 - Elsevier
Increasing energy efficiency in wastewater treatment plants (WWTPs) is becoming more
important. An emerging approach to addressing this issue is to exploit development in data …

Data-driven performance analyses of wastewater treatment plants: A review

KB Newhart, RW Holloway, AS Hering, TY Cath - Water research, 2019 - Elsevier
Recent advancements in data-driven process control and performance analysis could
provide the wastewater treatment industry with an opportunity to reduce costs and improve …

[HTML][HTML] A machine learning framework to improve effluent quality control in wastewater treatment plants

D Wang, S Thunéll, U Lindberg, L Jiang, J Trygg… - Science of the total …, 2021 - Elsevier
Due to the intrinsic complexity of wastewater treatment plant (WWTP) processes, it is always
challenging to respond promptly and appropriately to the dynamic process conditions in …

Exploring potential machine learning application based on big data for prediction of wastewater quality from different full-scale wastewater treatment plants

QV Ly, VH Truong, B Ji, XC Nguyen, KH Cho… - Science of the Total …, 2022 - Elsevier
Water pollution generated from intensive anthropogenic activities has emerged as a critical
issue concerning ecosystem balance and livelihoods worldwide. Although optimizing …

A decade of nitrous oxide (N2O) monitoring in full-scale wastewater treatment processes: a critical review

V Vasilaki, TM Massara, P Stanchev, F Fatone… - Water research, 2019 - Elsevier
Direct nitrous oxide (N 2 O) emissions during the biological nitrogen removal (BNR)
processes can significantly increase the carbon footprint of wastewater treatment plant …

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 …

Applications of machine learning algorithms for biological wastewater treatment: updates and perspectives

B Sundui, OA Ramirez Calderon… - Clean Technologies and …, 2021 - Springer
Biological wastewater treatment using algae–bacteria consortia for nutrient uptake and
resource recovery is a 'paradigm shift'from the mainstream wastewater treatment process to …

Prediction of effluent quality in a wastewater treatment plant by dynamic neural network modeling

Y Yang, KR Kim, R Kou, Y Li, J Fu, L Zhao… - Process Safety and …, 2022 - Elsevier
Improving the operation, management, and consequent performance of wastewater
treatment plants (WWTPs) for conserving the water environment is crucial. Recent …