Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Using machine learning architecture to optimize and model the treatment process for saline water level analysis Subject The topic of the resource machine learning; saline water; water level data analysis; water saline particle; water treatment plants Description An account of the resource Water is a vital resource that makes it possible for human life forms to exist. The need for freshwater consumption has significantly increased in recent years. Seawater treatment facilities are less dependable and efficient. Deep learning systems have the potential to increase the efficiency as well as the accuracy of salt particle analysis in saltwater, which will benefit water treatment plant performance. This research proposed a novel method for optimization and modelling of the treatment process for saline water based on water level data analysis using machine learning (ML) techniques. Here, the optimization and modelling are carried out using molecular separation-based reverse osmosis Bayesian optimization. Then the modelled water saline particle analysis has been carried out using back propagation with Kernelized support swarm machine. Experimental analysis is carried out based on water salinity data in terms of accuracy, precision, recall, and specificity, computational cost, and Kappa coefficient. The proposed technique attained an accuracy of 92%, precision of 83%, recall of 78%, specificity of 81%, computational cost of 59%, and Kappa coefficient of 78%. 2023, IWA Publishing. All rights reserved. Creator An entity primarily responsible for making the resource Rajput S.P.S.; Webber J.L.; Bostani A.; Mehbodniya A.; Arumugam M.; Nanjundan P.; Wendimagegen A. Source A related resource from which the described resource is derived Water Reuse, Vol-13, No. 1, pp. 51-67. Publisher An entity responsible for making the resource available IWA Publishing Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.2166/wrd.2022.069" target="_blank" rel="noreferrer noopener">https://doi.org/10.2166/wrd.2022.069</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153201481&amp;doi=10.2166%2Fwrd.2022.069&amp;partnerID=40&amp;md5=46d67b909d8db382ba4c8085ab1813ec" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153201481&amp;doi=10.2166%2fwrd.2022.069&amp;partnerID=40&amp;md5=46d67b909d8db382ba4c8085ab1813ec</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 27096092 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Rajput S.P.S., Department of Civil Engineering, Maulana Azad National Institute of Technology, MP, Bhopal, India; Webber J.L., Department of Electronics and Communication Engineering, Kuwait College of Science and Technology (KCST), 7th Ring Road, Doha Area, Kuwait; Bostani A., College of Engineering and Applied Sciences, American University of Kuwait, Salmiya, Kuwait; Mehbodniya A., Department of Electronics and Communication Engineering, Kuwait College of Science and Technology (KCST), 7th Ring Road, Doha Area, Kuwait; Arumugam M., Center for Transdisciplinary Research, Saveetha Dental College, Saveetha Institute of Medical and Technical Science, Chennai, India; Nanjundan P., Department of Data Science, Christ University, Lavasa, Maharashtra, Pune, India; Wendimagegen A., College of Natural and Computational Science, Debre Berhan University, Debre Birha, Ethiopia