"A Hybrid LSTM and Rule-Based Algorithm for Real-Time Prediction of River ..."

Muhammad Amir Asyraf Fazli et al. (2024)

> Home

Details and statistics

DOI: 10.1145/3670085.3670103

access: closed

type: Conference or Workshop Paper

metadata version: 2024-09-08

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/icmai2/FazliTTGBSR24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icmai2/FazliTTGBSR24
Muhammad Amir Asyraf Fazli, Wooi-Nee Tan, Yi-Fei Tan, Ming-Tao Gan, Asrul Norul Bashah, Shamsul Ariffin Suraji, Mohd Tawfik Abdul Rahman:
A Hybrid LSTM and Rule-Based Algorithm for Real-Time Prediction of River Water Level and Flood Risk Status: Case study of Tempasuk River, Sabah, Malaysia with real-time monitoring by S.A.I.F.O.N@Belud. ICMAI 2024: 29-36

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.