An Intelligent Flood Forecasting System Using Artificial Neural Network in WSN-Reference-Cited by-同舟云学术

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An Intelligent Flood Forecasting System Using Artificial Neural Network in WSN

Published:2021-09-20 Issue: Volume: Page:279-289
ISSN:2194-5357
Container-title:Proceedings of Second Doctoral Symposium on Computational Intelligence
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Author:

Kumar K. S. Raghu,Biradar Rajashree V.

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-3346-1_23

Reference21 articles.

1. Ragnoli, M., Barile, G., Leoni, A., Ferri, G., & Stornelli, V. (2020). An autonomous low-power LoRa-based flood-monitoring system. Journal of Low Power Electronics and Applications, 10(2), 15.

2. Shamsi, S. (2019). Flood forecasting review using wireless sensor network. Global Sci-Tech, 11(1), 13–22.

3. Patil, P. S., & Jain, S. S. Survey on flood monitoring & alerting systems.

4. Dwivedi, R. K., Kumari, N., & Kumar, R. (2020). Integration of wireless sensor networks with cloud towards efficient management in IoT: A review. In Advances in data and information sciences (pp. 97–107). Springer.

5. Ullah, T. F., Gnana Prakasi O. S., & Kanmani, P. (2020). A review on flood prediction algorithms and a deep neural network model for estimation of flood occurrence. International Research Journal of Multidisciplinary Technovation, 2(5), 8–14.

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1. Machine Learning Algorithms Investigation for Urban Drainage Decision Systems: Overview;2023 International Conference on Decision Aid Sciences and Applications (DASA);2023-09-16

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