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Combining wireless sensor networks and machine learning for flash flood nowcasting
conference contribution
posted on 2023-05-23, 12:11 authored by Furquim, G, Neto, F, Pessin, G, Ueyama, J, Albuquerque, JPD, Clara, M, Mendiondo, EM, Souza, VCBD, de Souza, P, Dimitrova, D, Braun, TThis paper addresses an investigation with machine learning (ML) classification techniques to assist in the problem of flash flood now casting. We have been attempting to build a Wireless Sensor Network (WSN) to collect measurements from a river located in an urban area. The machine learning classification methods were investigated with the aim of allowing flash flood now casting, which in turn allows the WSN to give alerts to the local population. We have evaluated several types of ML taking account of the different now casting stages (i.e. Number of future time steps to forecast). We have also evaluated different data representation to be used as input of the ML techniques. The results show that different data representation can lead to results significantly better for different stages of now casting.
History
Publication title
28th International Conference on Advanced Information Networking and Applications Workshops 2014Editors
L Barolli, KF Li, T Enokido, F Xhafa, M TakizawaPagination
67-72ISBN
978-1-4799-2653-4Department/School
School of Information and Communication TechnologyPublisher
The Institute of Electrical and Electronics Engineers, Inc.Place of publication
United StatesEvent title
Proceedings of the 2014 IEEE 28th International Conference on Advanced Information Networking and Applications Workshops, IEEE WAINA 2014Event Venue
Victoria, BC, CanadaDate of Event (Start Date)
2014-05-13Date of Event (End Date)
2014-05-16Rights statement
Copyright 2014 IEEERepository Status
- Restricted