Artificial neural network modeling of wastewater treatment and desalination using membrane processes: A review

J Jawad, AH Hawari, SJ Zaidi - Chemical Engineering Journal, 2021 - Elsevier
The freshwater scarcity is causing a major challenge due to the growing global population.
The brackish water and seawater are the biggest sources of water on the planet. Therefore …

[HTML][HTML] A review of coagulation explaining its definition, mechanism, coagulant types, and optimization models; RSM, and ANN

RM El-taweel, N Mohamed, KA Alrefaey… - Current Research in …, 2023 - Elsevier
The textile business is one of the most hazardous industries since it produces several
chemicals, such as dyes, which are released into water streams with ef-fluents. For the …

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 …

Utilization of random vector functional link integrated with manta ray foraging optimization for effluent prediction of wastewater treatment plant

K Elmaadawy, M Abd Elaziz, AH Elsheikh… - Journal of …, 2021 - Elsevier
An innovative predictive model was employed to predict the key performance indicators of a
full-scale wastewater treatment plant (WWTP) operated with an activated sludge treatment …

Artificial neural network modeling approach for the prediction of five-day biological oxygen demand and wastewater treatment plant performance

A Alsulaili, A Refaie - Water Supply, 2021 - iwaponline.com
The measurement of the wastewater BOD5 level requires five days, and the use of a
prediction model to estimate BOD5 saves time and enables the adoption of an online control …

Estimation of eggplant yield with machine learning methods using spectral vegetation indices

S Taşan, B Cemek, M Taşan, A Cantürk - Computers and electronics in …, 2022 - Elsevier
Estimation of crop yields included in the planning is an essential condition for accurate and
timely agricultural planning. Remotely sensed products, such as the spectral vegetation …

Artificial neural network (ANN) modelling for biogas production in pre-commercialized integrated anaerobic-aerobic bioreactors (IAAB)

WY Chen, YJ Chan, JW Lim, CS Liew, M Mohamad… - Water, 2022 - mdpi.com
The use of integrated anaerobic-aerobic bioreactor (IAAB) to treat the Palm Oil Mill Effluent
(POME) showed promising results, which successfully overcome the limitation of a large …

Development of chemical oxygen on demand (COD) soft sensor using edge intelligence

AS Pattanayak, BS Pattnaik, SK Udgata… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) based water quality monitoring system, mostly uses cost-
effective sensors with a faster response time. Few water quality parameters such as …

Machine learning model optimization for removal of steroid hormones from wastewater

F Mohammadi, Z Yavari, MR Nikoo, A Al-Nuaimi… - Chemosphere, 2023 - Elsevier
In the past few decades, there has been a significant focus on detecting steroid hormones in
aquatic environments due to their influence on the endocrine system. Most compounds of …

Comprehensive assessment of the effects of operating conditions on membrane intrinsic parameters of forward osmosis (FO) based on principal component analysis …

M Kim, JW Chang, K Park, DR Yang - Journal of Membrane Science, 2022 - Elsevier
Operating variables, such as flow direction, velocity, temperature, and osmotic pressure,
affect the performance of forward osmosis (FO) systems. Water and salt permeabilities of the …