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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM20128
Volume:
7 |
5 |
May 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Disasters caused by cyclones are abrupt and shocking, and they have the power to completely destroy vast regions in a matter of seconds. A rising number of natural catastrophes have happened as a direct result of rapid urbanisation, temperature swings, and heavy precipitation. Short-term forecasting is used to predict expected future occurrences in order to mitigate the effects. Research is being done on satellite imaging algorithms for weather forecasting. Our goal is to develop a system that can foresee impending natural disasters. We offer a machine learning model for predicting natural disasters that is based on image processing. Image processing is being used to calculate the cyclones’ speeds.
KEYWORDS
Publication Date
7/4/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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