Multidimensional insight into the corrosion inhibition of salbutamol drug molecule on mild steel in oilfield acidizing fluid: Experimental and computer aided modeling …

VC Anadebe, PC Nnaji, OD Onukwuli… - Journal of Molecular …, 2022 - Elsevier
The study aims to establish detailed surface adsorption of expired salbutamol drug molecule
as an emerging anticorrosion additive for mild steel corrosion in oilfield acidizing fluid. To …

A soft-sensor for sustainable operation of coagulation and flocculation units

M Arab, H Akbarian, M Gheibi, M Akrami… - … Applications of Artificial …, 2022 - Elsevier
Abstract Nowadays, Machine Learning (ML) techniques have become one of the most
widely used engineering tools due to their numerous advantages, including their continuous …

Utilization of Alyssum mucilage as a natural coagulant in oily-saline wastewater treatment

MB Fard, D Hamidi, K Yetilmezsoy, J Alavi… - Journal of Water …, 2021 - Elsevier
Wastewater treatment with natural coagulants is an area that is well-researched and
covered in the literature, but new research in this current and ongoing field is still interesting …

Application of Orchis mascula tuber starch as a natural coagulant for oily-saline wastewater treatment: Modeling and optimization by multivariate adaptive regression …

D Hamidi, MB Fard, K Yetilmezsoy, J Alavi… - Journal of Environmental …, 2021 - Elsevier
Applicability of coagulation-flocculation process by the Orchis mascula tuber starch as a
novel natural coagulant was investigated for the first time in the treatment of oily-saline …

Magnetic field effect on coagulation treatment of wastewater using magnetite rice starch and aluminium sulfate

NP Sibiya, G Amo-Duodu, EK Tetteh, S Rathilal - Polymers, 2022 - mdpi.com
The use of synthetic coagulants to reduce suspended particles from drinkable water and
wastewater is prompting new issues because it poses many health and environmental risks …

Hevea brasiliensis oil epoxidation: hybrid genetic algorithm–neural fuzzy–Box–Behnken (GA–ANFIS–BB) modelling with sensitivity and uncertainty analyses

EO Oke, K Nwosu-Obieogu, BI Okolo, O Adeyi… - … Experiments and Design, 2021 - Springer
Convectional algorithms such as least-square and gradient descent for adaptive neuro-fuzzy
inference system (ANFIS) prediction of engineering process system is deficient by local …

[HTML][HTML] Environmental sustenance via melon seed peel conversion to fermentable sugars using soft computing models

K Nwosu-Obieogu, GW Dzarma, C Ugwuodo… - Cleaner Engineering …, 2022 - Elsevier
There is a shift in focus on agro-wastes constituting menace through their disposal in the
environment by converting them to value-added products within the sustainability …

Successful prediction for coagulant dosage and effluent turbidity of a coagulation process in a drinking water treatment plant based on the Elman neural network and …

D Wang, L Chen, T Li, X Chang, K Ma… - … : Water Research & …, 2023 - pubs.rsc.org
The uncertainty of the changes in the quality of raw water, and the long lag in the process of
coagulation introduce significant difficulties in eliminating turbidity during the treatment of …

[HTML][HTML] Computer-aided batch process design, techno-economic and uncertainty analyses of bio-clarified water recovery from south-eastern Nigerian brewery …

EO Oke, OE Aru, I Nzeribe, O Adeyi, BI Okolo… - Cleaner Environmental …, 2023 - Elsevier
Abstract Biocoagulation-flocculation-sedimentation (bioclarification) is one of the main
wastewater treatment techniques. Despite its effectiveness in treating brewery wastewater …

Textile wastewater heavy metal removal using Luffa cylindrica activated carbon: an ANN and ANFIS predictive model evaluation

K Nwosu-Obieogu, GW Dzarma, P Ehimogue… - Applied Water …, 2022 - Springer
This study investigated the application of soft computing models [Artificial neural network
(ANN) and Adaptive neuro-fuzzy inference system (ANFIS)] in removing heavy metals …