FLOOD PREDICTION USING MACHINE LEARNING ALGORITHMS
Abstract & Details
Research Area
Computer Science and Engineering
Keywords
Finding severity level of flood.
Abstract
River flooding may be a phenomenon which will have a devastating result on human life and economic losses. There are numerous approaches in learning river flooding; but, insufcient understanding and restricted data concerning flooding conditions hinder the event of bar and management measures for this phenomenon. a replacement approach for the prediction of water level in association with flood severity victimization the ensemble model. Our approach leverages the latest developments within the net of Things (IoT) and machine learning for the automated analysis of flood knowledge which may be helpful to stop natural disasters. Research outcomes indicate that ensemble learning provides a a lot of reliable tool to predict flood severity levels. In learning victimization the Long-Short Term memory model and random forest.It outperformed individual models with a sensitivity, specicity and accuracy of 71.4%, 85.9%, 81.13%, severally.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | D.Seenivasan | K S Rangasamy College of Technology |
| 2 | K.Karthikeyan | K S Rangasamy College of Technology |
How to Cite
Use the following formats to cite this article in your research.
APA Style
D.Seenivasan & K.Karthikeyan (2021). FLOOD PREDICTION USING MACHINE LEARNING ALGORITHMS. International Journal of Advance Research and Innovative Ideas In Education, 7(2), 1601-1604.
MLA Style
D.Seenivasan, and K.Karthikeyan. "FLOOD PREDICTION USING MACHINE LEARNING ALGORITHMS." International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 2, 2021, pp. 1601-1604.
IEEE Style
D.Seenivasan and K.Karthikeyan, "FLOOD PREDICTION USING MACHINE LEARNING ALGORITHMS," International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 2, pp. 1601-1604, 2021.
Vancouver Style
D.Seenivasan, K.Karthikeyan. FLOOD PREDICTION USING MACHINE LEARNING ALGORITHMS. International Journal of Advance Research and Innovative Ideas In Education. 2021;7(2):1601-1604.
Harvard Style
D.Seenivasan & K.Karthikeyan (2021) 'FLOOD PREDICTION USING MACHINE LEARNING ALGORITHMS', International Journal of Advance Research and Innovative Ideas In Education, 7(2), pp. 1601-1604.
Chicago Style
D.Seenivasan and K.Karthikeyan. "FLOOD PREDICTION USING MACHINE LEARNING ALGORITHMS." International Journal of Advance Research and Innovative Ideas In Education 7, no. 2 (2021): 1601-1604.
Turabian Style
D.Seenivasan and K.Karthikeyan. "FLOOD PREDICTION USING MACHINE LEARNING ALGORITHMS." International Journal of Advance Research and Innovative Ideas In Education 7, no. 2 (2021): 1601-1604.
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