Internet of Things (iot) and Artificial Neural Networks Towards Water Pollution Forecasting

dc.authoridMishra, Alok/0000-0003-1275-2050
dc.authorscopusid57214334010
dc.authorscopusid7201441575
dc.authorwosidMishra, Alok/AAE-2673-2019
dc.authorwosidMishra, Alok/D-7937-2012
dc.contributor.authorIbrahim, Thaer
dc.contributor.authorMishra, Alok
dc.contributor.otherSoftware Engineering
dc.contributor.otherSoftware Engineering
dc.date.accessioned2024-10-06T10:58:12Z
dc.date.available2024-10-06T10:58:12Z
dc.date.issued2020
dc.departmentAtılım Universityen_US
dc.department-temp[Ibrahim, Thaer] Iraqi Fed Board Supreme Audit, Baghdad, Iraq; [Ibrahim, Thaer; Mishra, Alok] Atilim Univ, Ankara, Turkey; [Mishra, Alok] Molde Univ Coll Specialized Univ Logist, Molde, Norwayen_US
dc.descriptionMishra, Alok/0000-0003-1275-2050en_US
dc.description.abstractWater could be some-times a source of danger on people's lives and property. Although it is one of the most important elements of life on this planet. This article define the threat of water pollution in Tigris River in Iraq. by collecting a data that generated by sensors that installed in a water pollution sensing project in Baghdad city, also this article aimed to detect and analyze the behavior of water environment. It is an effort to predict the threat of pollution by using advanced scientific methods like the technology of Internet of Things (IoT) and Machine learning in order to avoid the threat and/or minimize the possible damages. This can be used as a proactive service provided by E-governments towards their own citizens.en_US
dc.description.woscitationindexScience Citation Index Expanded
dc.identifier.citationcount1
dc.identifier.endpage129en_US
dc.identifier.issn1506-218X
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85097196987
dc.identifier.scopusqualityQ4
dc.identifier.startpage117en_US
dc.identifier.urihttps://hdl.handle.net/20.500.14411/8872
dc.identifier.volume22en_US
dc.identifier.wosWOS:000593301200006
dc.identifier.wosqualityQ4
dc.institutionauthorMıshra, Alok
dc.institutionauthorMıshra, Alok
dc.language.isoenen_US
dc.publisherMiddle Pomeranian Sci Soc Env Proten_US
dc.relation.ispartofRocznik Ochrona Srodowiskaen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.scopus.citedbyCount1
dc.subjectInternet of Thingsen_US
dc.subjectE-governmenten_US
dc.subjectWater Pollution predictionen_US
dc.subjectTigris Riveren_US
dc.subjectArtificial Neural Networken_US
dc.titleInternet of Things (iot) and Artificial Neural Networks Towards Water Pollution Forecastingen_US
dc.typeArticleen_US
dc.wos.citedbyCount1
dspace.entity.typePublication
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