Internet of Things (iot) and Artificial Neural Networks Towards Water Pollution Forecasting
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Date
2020
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Middle Pomeranian Sci Soc Env Prot
Open Access Color
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Abstract
Water 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.
Description
Mishra, Alok/0000-0003-1275-2050
ORCID
Keywords
Internet of Things, E-government, Water Pollution prediction, Tigris River, Artificial Neural Network
Turkish CoHE Thesis Center URL
Fields of Science
Citation
WoS Q
Q4
Scopus Q
Q4
Source
Rocznik Ochrona Srodowiska
Volume
22
Issue
1
Start Page
117
End Page
129