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Title: :  Deep Learning Based Cyclone Intensity Estimation Using CNN and RNN
PaperId: :  21745
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 5 2023
DUI:    16.0415/IJARIIE-21745
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
KANNAN TBannari Amman Institute of Technology, Tamil Nadu, India
HEMANTH V RBannari Amman Institute of Technology, Tamil Nadu, India
SARAN SBannari Amman Institute of Technology, Tamil Nadu, India
Suseela DBannari Amman Institute of Technology, Tamil Nadu, India

Abstract

Computer Science Engineering
Cyclone Intensity Prediction, Disaster Management, Deep Learning, Convolutional Neural Networks(CNN), Recurrent Neural Networks(RNN), Disaster Preparedness.
Cyclone intensity prediction stands as a pivotal facet of disaster management, carrying profound implications for the successful execution of disaster mitigation strategies. This research embarks on an exploration of the profound potential residing within deep learning methodologies, with a particular focus on Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), to propel the field of cyclone intensity estimation forward. Leveraging a vast and meticulously curated dataset, which includes a wealth of meteorological measurements and historical cyclone data, our methodology orchestrates a synergy between spatial feature extraction, skill fully executed by CNNs, and the precision of temporal analysis, orchestrated by RNNs. The findings unveiled by this study underscore the unwavering efficacy of deep learning models in profoundly elevating the accuracy of cyclone intensity forecasts, echoing a clarion call for their robust integration into disaster preparedness and response strategies, ultimately fostering resilience in the face of cyclonic events.

Citations

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IJARIIE KANNAN T, HEMANTH V R, SARAN S, and Suseela D. "Deep Learning Based Cyclone Intensity Estimation Using CNN and RNN" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 5 2023 Page 1333-1338
MLA KANNAN T, HEMANTH V R, SARAN S, and Suseela D. "Deep Learning Based Cyclone Intensity Estimation Using CNN and RNN." International Journal Of Advance Research And Innovative Ideas In Education 9.5(2023) : 1333-1338.
APA KANNAN T, HEMANTH V R, SARAN S, & Suseela D. (2023). Deep Learning Based Cyclone Intensity Estimation Using CNN and RNN. International Journal Of Advance Research And Innovative Ideas In Education, 9(5), 1333-1338.
Chicago KANNAN T, HEMANTH V R, SARAN S, and Suseela D. "Deep Learning Based Cyclone Intensity Estimation Using CNN and RNN." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 5 (2023) : 1333-1338.
Oxford KANNAN T, HEMANTH V R, SARAN S, and Suseela D. 'Deep Learning Based Cyclone Intensity Estimation Using CNN and RNN', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 5, 2023, p. 1333-1338. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Deep_Learning_Based_Cyclone_Intensity_Estimation_Using_CNN_and_RNN_ijariie21745.pdf (Accessed : 11 October 2023).
Harvard KANNAN T, HEMANTH V R, SARAN S, and Suseela D. (2023) 'Deep Learning Based Cyclone Intensity Estimation Using CNN and RNN', International Journal Of Advance Research And Innovative Ideas In Education, 9(5), pp. 1333-1338IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Deep_Learning_Based_Cyclone_Intensity_Estimation_Using_CNN_and_RNN_ijariie21745.pdf (Accessed : 11 October 2023)
IEEE KANNAN T, HEMANTH V R, SARAN S, and Suseela D, "Deep Learning Based Cyclone Intensity Estimation Using CNN and RNN," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 5, pp. 1333-1338, Sep-Oct 2023. [Online]. Available: http://ijariie.com/AdminUploadPdf/Deep_Learning_Based_Cyclone_Intensity_Estimation_Using_CNN_and_RNN_ijariie21745.pdf [Accessed : 11 October 2023].
Turabian KANNAN T, HEMANTH V R, SARAN S, and Suseela D. "Deep Learning Based Cyclone Intensity Estimation Using CNN and RNN." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 5 (11 October 2023).
Vancouver KANNAN T, HEMANTH V R, SARAN S, and Suseela D. Deep Learning Based Cyclone Intensity Estimation Using CNN and RNN. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : 11 October 2023]; 9(5) : 1333-1338. Available from: http://ijariie.com/AdminUploadPdf/Deep_Learning_Based_Cyclone_Intensity_Estimation_Using_CNN_and_RNN_ijariie21745.pdf
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