A Distributed Approach to Flood Prediction Using a WSN and ML: A Comparative Study of ML Techniques in a WSN Deployed in Brazil

Author:

Furquim Gustavo,Pessin Gustavo,Gomes Pedro H.,Mendiondo Eduardo M.,Ueyama Jó

Publisher

Springer International Publishing

Reference9 articles.

1. Basha, E.A., Ravela, S., Rus, D.: Model-based monitoring for early warning flood detection. In: Proceedings of 6th ACM SenSys (2008)

2. Damle, C., Yalcin, A.: Flood prediction using time series data mining. J. Hydrol. 333(2–4), 305–316 (2007)

3. Guha-Sapir, D., Hoyois, P., Below, R.: Annual disaster statistical review 2013: the numbers and trends. Technical report, Centre for Research on the Epidemiology of Disasters (2014)

4. Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I.H.: The weka data mining software: an update. SIGKDD Explor. Newsl. 11(1), 10–18 (2009)

5. Hossain, M., Turna, T., Soheli, S., Kaiser, M.: Neuro-fuzzy(nf)-based adaptive flood warning system for bangladesh. In: ICIEV International Conference (2014)

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