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

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Date

2020

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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

Keywords

Internet of Things, E-government, Water Pollution prediction, Tigris River, Artificial Neural Network

Fields of Science

Citation

WoS Q

Q4

Scopus Q

Q4

Source

Rocznik Ochrona Srodowiska

Volume

22

Issue

1

Start Page

117

End Page

129

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Sustainable Development Goals

6

CLEAN WATER AND SANITATION
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11

SUSTAINABLE CITIES AND COMMUNITIES
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14

LIFE BELOW WATER
LIFE BELOW WATER Logo

16

PEACE, JUSTICE AND STRONG INSTITUTIONS
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