An Application of Ensemble Spatiotemporal Data Mining Techniques for Rainfall Forecasting-Reference-Cited by-同舟云学术

An Application of Ensemble Spatiotemporal Data Mining Techniques for Rainfall Forecasting

Published:2023-06-27 Issue: Volume: Page:
ISSN:
Container-title:ITISE 2023
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Author:

Saubhagya Shanthi¹^ORCID,Tilakaratne Chandima¹^ORCID,Mammadov Musa²,Lakraj Pemantha¹

Affiliation:

1. Department of Statistics, University of Colombo, Colombo P.O. Box 1490, Sri Lanka

2. School of Info Technology, Faculty of Science, Engineering and Built Environment, Geelong Waurn Ponds Campus, Deakin University, Geelong P.O. Box 423, Australia

Publisher

MDPI

Link

https://www.mdpi.com/2673-4591/39/1/6/pdf

Reference28 articles.

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3. Prediction of Short-Time Rainfall Based on Deep Learning;Sun;Math. Probl. Eng.,2021

4. Prediction of daily rainfall state in a river basin using statistical downscaling from GCM output;Kannan;Stoch. Environ. Res. Risk Assess.,2010

5. Ji, S.-Y., Sharma, S., Yu, B., and Jeong, D.H. (2012, January 8–10). Designing a rule-based hourly rainfall pre-diction model. Proceedings of the 2012 IEEE 13th International Conference on Information Reuse & Integration (IRI), Las Vegas, NV, USA.

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