[HTML][HTML] Advanced metal oxides nanostructures to recognize and eradicate water pollutants

U Chakraborty, G Kaur, HG Rubahn, A Kaushik… - Progress in Materials …, 2023 - Elsevier
The excessive inlet of contaminants into water is affecting its quality adversely which is not
recommended for quality health. Therefore, investigating economical, scalable, efficient, and …

Carbon based materials: a review of adsorbents for inorganic and organic compounds

MM Sabzehmeidani, S Mahnaee, M Ghaedi… - Materials …, 2021 - pubs.rsc.org
This review presents the adsorptive removal process of hazardous materials onto carbon-
based materials comprising activated carbon, graphene, carbon nanotubes, carbon …

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 …

Simultaneous removal of organics and heavy metals from industrial wastewater: A review

TO Ajiboye, OA Oyewo, DC Onwudiwe - Chemosphere, 2021 - Elsevier
The co-existence of heavy metals and organics in industrial effluents is a prevalent problem.
These pollutants usually have dissimilar compositions and properties, making their complete …

Application of artificial intelligence to wastewater treatment: A bibliometric analysis and systematic review of technology, economy, management, and wastewater …

L Zhao, T Dai, Z Qiao, P Sun, J Hao, Y Yang - Process Safety and …, 2020 - Elsevier
Wastewater treatment is an important step for pollutant reduction and the promotion of water
environment quality. The complexity of natural conditions, influent shock, and wastewater …

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 …

Comprehensive review on machine learning methodologies for modeling dye removal processes in wastewater

SK Bhagat, KE Pilario, OE Babalola, T Tiyasha… - Journal of Cleaner …, 2023 - Elsevier
A wide range of dyes are being disposed in water bodies from several industrial runoff and
the quantity is rapidly increasing over the years. From an environmental safety point of view …

Nanomaterials for removal of toxic elements from water

F Lu, D Astruc - Coordination Chemistry Reviews, 2018 - Elsevier
Water pollution becomes a critical issue around the world, and heavy metals, organic and
inorganic compounds and bio-organisms contribute to major pollution in water. The …

Copper removal from industrial wastewater: A comprehensive review

SA Al-Saydeh, MH El-Naas, SJ Zaidi - Journal of industrial and engineering …, 2017 - Elsevier
Copper is one of the most valuable and prevalent metals used in the industry. There are
many techniques to treat different types of industrial wastewater that are contaminated with …

Tackling environmental challenges in pollution controls using artificial intelligence: A review

Z Ye, J Yang, N Zhong, X Tu, J Jia, J Wang - Science of the Total …, 2020 - Elsevier
This review presents the developments in artificial intelligence technologies for
environmental pollution controls. A number of AI approaches, which start with the reliable …