IoT Based Real-time Monitoring System of Rainfall and Water Level for Flood Prediction Using LSTM Network
| dc.contributor.author | A A M Faudzi | |
| dc.contributor.author | M M Raslan | |
| dc.contributor.author | N E Alias | |
| dc.coverage.publication | Malaysia | |
| dc.date.accessioned | 2024-05-14T03:08:10Z | |
| dc.date.available | 2024-05-14T03:08:10Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | This proposal outlines the design of a monitoring system to obtain real-time data on rain gauge and water level. The monitoring system is based on IoT via a GSM network to provide real-time data cloud and dashboard display on Grafana platform. The rainfall forecasting model used Long Short-Term Memory (LSTM) networks to predict future rainfall and water level values which could cause floods. | |
| dc.identifier.citation | Faudzi, A. A. M., Raslan, M. M., & Alias, N. E. (2023). IoT based real-time monitoring system of rainfall and water level for flood prediction using LSTM Network. In IOP Conference Series: Earth and Environmental Science (Vol. 1143, No. 1, p. 012015). IOP Publishing. | |
| dc.identifier.uri | https://repoemc.ukm.my/handle/123456789/641 | |
| dc.language | en | |
| dc.publisher | IOP Publishing | |
| dc.publisher.alternative | IOP Conference Series: Earth and Environmental Science | |
| dc.title | IoT Based Real-time Monitoring System of Rainfall and Water Level for Flood Prediction Using LSTM Network | |
| dc.type | Journal |
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