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 …

Artificial intelligence as a sustainable tool in wastewater treatment using membrane bioreactors

M Kamali, L Appels, X Yu, TM Aminabhavi… - Chemical Engineering …, 2021 - Elsevier
Efforts are currently in progress to commercialize membrane bioreactor (MBR) technologies
already developed at laboratory and pilot scale. To attain this goal, the efficiency of MBRs …

Enhancement of membrane system performance using artificial intelligence technologies for sustainable water and wastewater treatment: A critical review

ND Viet, D Jang, Y Yoon, A Jang - Critical Reviews in …, 2022 - Taylor & Francis
In recent years, membrane technologies are widely utilized in water and wastewater
treatment processes. However, controlling and improving these systems still need to be …

Optimization of metal rolling control using soft computing approaches: a review

Z Hu, Z Wei, H Sun, J Yang, L Wei - Archives of Computational Methods in …, 2021 - Springer
As one of the most important structural and functional materials, rolled-product plays an
irreplaceable role in national economy, people's lives and national development. Metallurgy …

Hybrid ANFIS-PSO algorithm for estimation of the characteristics of porous vacuum preloaded air bearings and comparison performance of the intelligent algorithm …

R Şener, MA Koç, K Ermiş - Engineering Applications of Artificial …, 2024 - Elsevier
Air bearings are commonly used in systems requiring high precision, including
semiconductor manufacturing, optical and electronic devices, and aerospace systems, and …

Prediction of emission and performance characteristics of reactivity-controlled compression ignition engine with the intelligent software based on adaptive neural-fuzzy …

MA Koç, R Şener - Journal of Cleaner Production, 2021 - Elsevier
A fuel reactivity-controlled compression ignition concept promises to overcome increasingly
stringent emission standards with ultra-low nitrogen oxide and soot emissions and very high …

AI-enhanced adsorption modeling: Challenges, applications, and bibliographic analysis

S Kumari, J Chowdhry, MC Garg - Journal of Environmental Management, 2024 - Elsevier
Inorganic and organic contaminants, such as fertilisers, heavy metals, and dyes, are the
primary causes of water pollution. The field of artificial intelligence (AI) has received …

FPGA-Based neural network for accurate distance estimation of elderly falls using WSN in an indoor environment

SQ Mahdi, SK Gharghan, MA Hasan - Measurement, 2021 - Elsevier
In wireless sensor networks (WSNs), location or distance estimation information for the
elderly is a critical issue. This study aims to improve the error in estimated distance between …

[HTML][HTML] Development of an artificial neural network (ANN) model to predict the temperature of hot-rolled steel pipes

R Langbauer, G Nunner, T Zmek, J Klarner… - Advances in Industrial …, 2022 - Elsevier
One important objective in steel pipe manufacturing is to avoid rejects. In order to
adequately heat each individual pipe in the furnace, the surface temperature of all pipes …

A novel neural network approach to transformer fault diagnosis based on momentum-embedded BP neural network optimized by genetic algorithm and fuzzy c-means

K Zhang, F Yuan, J Guo, G Wang - Arabian Journal for Science and …, 2016 - Springer
Transformer is one of the critical equipments for electric power transmission and distribution,
and its safety situation plays an important role on stability and security level of power …