Applications of artificial intelligence in water treatment for optimization and automation of adsorption processes: Recent advances and prospects

G Alam, I Ihsanullah, M Naushad… - Chemical Engineering …, 2022 - Elsevier
Artificial intelligence (AI) has emerged as a powerful tool to resolve real-world problems and
has gained tremendous attention due to its applications in various fields. In recent years, AI …

[HTML][HTML] Utilization of waste straw and husks from rice production: A review

BA Goodman - Journal of Bioresources and Bioproducts, 2020 - Elsevier
As a staple food for much of the world, rice production is widespread. However, it also
results in the generation of large quantities of non-food biomass, primarily in the form of …

Green copper oxide nanoparticles for lead, nickel, and cadmium removal from contaminated water

AED Mahmoud, KM Al-Qahtani, SO Alflaij… - Scientific Reports, 2021 - nature.com
Environmentally friendly copper oxide nanoparticles (CuO NPs) were prepared with a green
synthesis route without using hazardous chemicals. Hence, the extracts of mint leaves and …

A review of artificial intelligence in water purification and wastewater treatment: Recent advancements

S Safeer, RP Pandey, B Rehman, T Safdar… - Journal of Water …, 2022 - Elsevier
Artificial intelligence (AI) is an emerging powerful novel technology that can model real-time
problems involving numerous intricacies. The modeling capabilities of AI techniques are …

Development of artificial intelligence for modeling wastewater heavy metal removal: State of the art, application assessment and possible future research

SK Bhagat, TM Tung, ZM Yaseen - Journal of Cleaner Production, 2020 - Elsevier
The presence of various forms of heavy metals (HMs)(eg, Cu, Cd, Pb, Zn, Cr, Ni, As, Co, Hg,
Fe, Mn, Sb, and Ce) in water bodies and sediment has been increasing due to industrial and …

Prediction of sediment heavy metal at the Australian Bays using newly developed hybrid artificial intelligence models

SK Bhagat, T Tiyasha, SM Awadh, TM Tung… - Environmental …, 2021 - Elsevier
Hybrid artificial intelligence (AI) models are developed for sediment lead (Pb) prediction in
two Bays (ie, Bramble (BB) and Deception (DB)) stations, Australia. A feature selection (FS) …

Graphene-based nanomaterials for the removal of organic pollutants: Insights into linear versus nonlinear mathematical models

AED Mahmoud - Journal of Environmental Management, 2020 - Elsevier
The adsorption–desorption behavior of methylene blue, acid orange 7, bisphenol A, and
phenol on the synthesized graphene-based nanomaterials were studied. For this purpose …

Remediation of anionic dye from aqueous solution through adsorption on polyaniline/FO nanocomposite-modelling by artificial neural network (ANN)

K Ahmad - Journal of Molecular Liquids, 2022 - Elsevier
The present study emphasized on performance of Polyaniline (PANI)/magnetic oxide (FO)
nanocomposite for remediation of methyl orange (MO) from aqueous solution through …

Application of neural network in metal adsorption using biomaterials (BMs): a review

A Nighojkar, K Zimmermann, M Ateia… - Environmental …, 2023 - pubs.rsc.org
With growing environmental consciousness, biomaterials (BMs) have garnered attention as
sustainable materials for the adsorption of hazardous water contaminants. These BMs are …

Equilibrium, kinetic, and diffusion models of chromium(VI) removal using Phragmites australis and Ziziphus spina-christi biomass

AED Mahmoud, M Fawzy, G Hosny, A Obaid - International Journal of …, 2021 - Springer
In this study, we investigated the modeling of chromium (Cr (VI)) removal using globally
available plant biomass: Phragmites australis and Ziziphus spina-christi. Biosorption …