[HTML][HTML] Effect of operating parameters on the performance of integrated fixed-film activated sludge for wastewater treatment

S Waqas, NY Harun, NS Sambudi, KJ Abioye… - Membranes, 2023 - mdpi.com
Integrated fixed-film activated sludge (IFAS) is a hybrid wastewater treatment process that
combines suspended and attached growth. The current review provides an overview of the …

A review of rotating biological contactors for wastewater treatment

S Waqas, NY Harun, NS Sambudi, MR Bilad… - Water, 2023 - mdpi.com
A rotating biological contactor (RBC) is a type of attached-growth biological wastewater
treatment system and a widely used biological wastewater treatment technology. It employs …

Optimization of operational parameters using RSM, ANN, and SVM in membrane integrated with rotating biological contactor

S Waqas, NY Harun, U Arshad, AM Laziz, SLS Mun… - Chemosphere, 2024 - Elsevier
Membrane fouling is a critical bottleneck to the widespread adoption of membrane
separation processes. It diminishes the membrane permeability and results in high …

Retracted: Enhancing waste management and prediction of water quality in the sustainable urban environment using optimized algorithm of least square support …

S Zhang, AH Omar, AS Hashim, T Alam, HAEW Khalifa… - 2023 - Elsevier
Following an investigation into a number of papers published as part of the Urban
Groundwater Special Issue in Urban Climate, it became evident that the names of two co …

Artificial intelligence and machine learning algorithms in the detection of heavy metals in water and wastewater: Methodological and ethical challenges

BM Maurya, N Yadav, T Amudha, J Satheeshkumar… - Chemosphere, 2024 - Elsevier
Heavy metals (HMs) enter waterbodies through various means, which, when exceeding a
threshold limit, cause toxic effects both on the environment and in humans upon entering …

Enhancing wastewater treatment efficiency through machine learning-driven effluent quality prediction: a plant-level analysis

MAP Cechinel, J Neves, JVR Fuck… - Journal of Water …, 2024 - Elsevier
The main objective of this study was to develop, validate, and comprehend machine
learning (ML) models capable of predicting chemical oxygen demand concentration in the …

[HTML][HTML] Bioreactors: applications and Innovations for a sustainable and healthy future—a critical review

F Palladino, PRF Marcelino, AE Schlogl, ÁHM José… - Applied Sciences, 2024 - mdpi.com
Biotechnological processes are essential for develo** economies that aim to stand out in
future markets. The use of bioreactors is one of the most important unit operations of …

[HTML][HTML] The roles of artificial intelligence techniques for increasing the prediction performance of important parameters and their optimization in membrane processes …

S Yuan, H Ajam, ZAB Sinnah, FMA Altalbawy… - Ecotoxicology and …, 2023 - Elsevier
Membrane-based separation processes has been recently of significant global interest
compared to other conventional separation approaches due to possessing undeniable …

Machine learning: a suitable method for biocatalysis

PS Sampaio, P Fernandes - Catalysts, 2023 - mdpi.com
Biocatalysis is currently a workhorse used to produce a wide array of compounds, from bulk
to fine chemicals, in a green and sustainable manner. The success of biocatalysis is largely …

Simulating and Comparing CO2/CH4 Separation Performance of Membrane–Zeolite Contactors by Cascade Neural Networks

SA Abdollahi, AR Andarkhor, A Pourahmad, AH Alibak… - Membranes, 2023 - mdpi.com
Separating carbon dioxide (CO2) from gaseous streams released into the atmosphere is
becoming critical due to its greenhouse effect. Membrane technology is one of the promising …