An Ensemble Machine Learning Approach for Predicting Flood Based on Meteorological and Topographical Features: A Comparative Study in Kalu Ganga River Basin, Sri Lanka-Reference-Cited by-同舟云学术

An Ensemble Machine Learning Approach for Predicting Flood Based on Meteorological and Topographical Features: A Comparative Study in Kalu Ganga River Basin, Sri Lanka

Published:2024 Issue: Volume: Page:165-175
ISSN:2367-4512
Container-title:Lecture Notes on Data Engineering and Communications Technologies
language:en
Short-container-title:

Author:

Mahaganapathy Ahrane,Jayasinghe Dhanushka,Rathnayaka Kapila Tharanga,Wickramaarachchi Wiraj Udara

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-59707-7_15

Reference47 articles.

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2. Data Application of the Month: Machine Learning for Flood Detection | UN-SPIDER Knowledge Portal. Un-spider.org (2022). https://www.un-spider.org/links-and-resources/data-sources/daotm-floods-ml

3. Ilukkumbure, S., Samarasiri, V., Mohamed, M., Selvaratnam, V., Samantha Rajapaksha, U.: Early warning for pre and post flood risk management by using iot and machine learning. In: 2021 3rd International Conference on Advancements in Computing (ICAC) (2021). https://doi.org/10.1109/icac54203.2021.9671141

4. Gamage, D., Ilmini, K.: Flood forecasting using artificial neural network for Kalu Ganga. In: Second International Conference, SLAAI-ICAI 2018, Moratuwa, Sri Lanka (2018)

5. Thilakarathne, H., Premachandra, K.: Predicting floods in North Central Province of Sri Lanka using machine learning and data mining methods. In: International Conference on Artificial Intelligence – 2017, University of Moratuwa, Moratuwa, Sri Lanka (2017)