Framework for IOT Based Real-Time Monitoring System of Rainfall Water Level for Flood Prediction Using LSTM Network-Reference-Cited by-同舟云学术

Framework for IOT Based Real-Time Monitoring System of Rainfall Water Level for Flood Prediction Using LSTM Network

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Pervasive Computing and Social Networking (ICPCSN)
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Author:

William P.¹,Oyebode Oluwadare Joshua²,Ramu Gandikota³,Lakhanpal Sorabh⁴,Gupta Keerat Kumar⁵,Al-Jawahry Hassan M.⁶

Affiliation:

1. Sanjivani College of Engineering, Savitribai Phule Pune University,Department of Information Technology,Pune,India

2. Afe Babalola University,Civil and Environmental Engineering,Ado-Ekiti,Ekiti State,Nigeria

3. Institute of Aeronautical Engineering,Department of Computer Science and Engineering,Hyderabad,500043

4. Lovely Professional University,Phagwara,India

5. Graphic Era Deemed to be University,Department of Civil Engineering,Dehradun,Uttarakhand,India,248002

6. The Islamic University,Faculty of Engineering,Najaf,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10265860/10265772/10266249.pdf?arnumber=10266249

Reference13 articles.

1. Thingspeak Based Sensing and Monitoring System for IoT with Matlab Analysis;pasha;International Journal of New Technology and Research (IJNTR),2016

2. Design and implementation of building energy monitoring and management system based on wireless sensor networks

3. Artificial neural network approach to flood forecasting in the River Arno

4. Quantitative flood forecasting using multisensor data and neural networks

5. Innovative System for Water Level Management using IoT to prevent Water Wastage

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