A holistic review on how artificial intelligence has redefined water treatment and seawater desalination processes

SS Ray, RK Verma, A Singh, M Ganesapillai, YN Kwon - Desalination, 2023 - Elsevier
In the modern era, deep learning (DL), and machine learning (ML), have emerged as
potential technologies that are widely applied in the fields of science, engineering, and …

[HTML][HTML] Artificial intelligence application in a renewable energy-driven desalination system: A critical review

Q He, H Zheng, X Ma, L Wang, H Kong, Z Zhu - Energy and AI, 2022 - Elsevier
Artificial intelligence, an emerging technology, widely exists in the field of engineering
science and technology. Due to its high efficiency and precision, artificial intelligence is …

Cloud and IoT based smart architecture for desalination water treatment

M Alshehri, A Bhardwaj, M Kumar, S Mishra… - Environmental …, 2021 - Elsevier
Increasing water demand and the deteriorating environment has continuously stressed the
requirement for new technology and methods to attain optimized use of resources and …

Desalination plant performance prediction model using grey wolf optimizer based ANN approach

R Mahadeva, M Kumar, SP Patole, G Manik - IEEE Access, 2022 - ieeexplore.ieee.org
The present era of advances in desalination plants revolves around the involvement of
artificial intelligence techniques in ameliorating their modeling and operational performance …

Machine learning algorithms used in PSE environments: A didactic approach and critical perspective

LF Fuentes-Cortés, A Flores-Tlacuahuac… - Industrial & …, 2022 - ACS Publications
This work addresses recent developments for solving problems in process systems
engineering based on machine learning algorithms. A general description of most popular …

Modeling and experimental investigation of solar stills for enhancing water desalination process

M Mostafa, HM Abdullah, MA Mohamed - IEEE Access, 2020 - ieeexplore.ieee.org
Despite the importance of the desalination process in removal of water salinity to produce
fresh drinking water, it is an energy-consuming process. Therefore, the use of solar energy …

Data fault detection in wireless sensor networks using machine learning techniques

PI Priya, S Muthurajkumar, SS Daisy - Wireless Personal Communications, 2022 - Springer
Abstract Wireless Sensor Network (WSN) is a wireless network that consists of spatially
distributed autonomous devices with sophisticated subsystem called sensors to monitor the …

泛在物联的配用电优化运行: 信息物理社会系统的视角

刘念, 余星火, 王剑辉, 薛禹胜 - 电力系统自动化, 2020 - epjournal.csee.org.cn
泛在物联的配用电系统是智能配电网与电力物联网深度融合形成的信息物理社会系统(CPSS).
分析了泛在物联的配用电系统的参与主体及其信息, 物理, 社会属性, 并从物理域 …

Optimal Degradation-Aware Control Using Process-Controlled Sparse Bayesian Learning

AH Dadash, N Björsell - Processes, 2023 - mdpi.com
Efficient production planning hinges on reducing costs and maintaining output quality, with
machine degradation management as a key factor. The traditional approaches to control this …

Metrics and methods to assess building fault detection and diagnosis tools

SM Frank, G Lin, X **, R Singla, A Farthing, L Zhang… - 2019 - osti.gov
This paper presents the research methodology and findings related to fault definition, input
samples, and evaluation metrics. We discuss these findings in light of key considerations for …