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dc.contributor.authorIbrahim, Thaer
dc.contributor.authorMishra, Alok
dc.date.accessioned2023-10-12T11:50:43Z
dc.date.available2023-10-12T11:50:43Z
dc.date.created2020-10-26T14:13:53Z
dc.date.issued2020
dc.identifier.citationRocznik Ochrona Srodowiska. 2020, 22 (1), 117-129.en_US
dc.identifier.issn1506-218X
dc.identifier.urihttps://hdl.handle.net/11250/3096092
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. Keywords: Internet of Things, E-government, water pollution prediction, Tigris river, artificial neural networken_US
dc.language.isoengen_US
dc.relation.urihttp://www.ros.edu.pl/index.php?option=com_content&view=article&id=814:009-ros-v22-r2020&catid=57&lang=pl&Itemid=299
dc.rightsNavngivelse-Ikkekommersiell-DelPåSammeVilkår 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/deed.no*
dc.titleInternet of Things (IoT) and artificial neural networks towards water pollution forecastingen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber117-129en_US
dc.source.volume22en_US
dc.source.journalRocznik Ochrona Srodowiskaen_US
dc.source.issue1en_US
dc.identifier.cristin1842336
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Navngivelse-Ikkekommersiell-DelPåSammeVilkår 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse-Ikkekommersiell-DelPåSammeVilkår 4.0 Internasjonal