Call for Papers:Vol.12 Issue.1

Submission
Last date		 28-Feb-2026
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-12,Issue-1. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  Deep Learning and INSAT-3D IR Imagery for Estimating Cyclone Intensity
PaperId: :  20428
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 3 2023
DUI:    16.0415/IJARIIE-20428
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Veena R SDayananda Sagar Academy Of Technology And Management
Abhijna K CDayananda Sagar Academy Of Technology And Management
B G ShreyasDayananda Sagar Academy Of Technology And Management
BhargaviDayananda Sagar Academy Of Technology And Management
Dhanush Gowda SDayananda Sagar Academy Of Technology And Management

Abstract

Computer Engineering
Cyclone, Intensity, Convolutional Neural Network, Keras, Tensorflow, Infrared
This paper presents a novel approach for estimating cyclone intensity using deep learning techniques on images obtained from the INSAT 3D satellite. The deep learning algorithms used in this work to analyze photos from the INSAT 3D satellite to estimate cyclone strength are innovative. The convolutional neural network (CNN) is used in the proposed method to extract information from the photos and calculate the cyclone's strength. The collection of labelled images used to train the algorithm was created by combining data from ground-based observations with remote sensing. The findings demonstrate that the suggested method achieves excellent accuracy in cyclone intensity prediction and outperforms conventional methods for estimating cyclone intensity. Cyclone intensity estimation is essential for disaster management and early warning systems, and the suggested approach has the potential to greatly increase both its accuracy and speed.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Veena R S, Abhijna K C, B G Shreyas, Bhargavi, and Dhanush Gowda S. "Deep Learning and INSAT-3D IR Imagery for Estimating Cyclone Intensity" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 3 2023 Page 2140-2145
MLA Veena R S, Abhijna K C, B G Shreyas, Bhargavi, and Dhanush Gowda S. "Deep Learning and INSAT-3D IR Imagery for Estimating Cyclone Intensity." International Journal Of Advance Research And Innovative Ideas In Education 9.3(2023) : 2140-2145.
APA Veena R S, Abhijna K C, B G Shreyas, Bhargavi, & Dhanush Gowda S. (2023). Deep Learning and INSAT-3D IR Imagery for Estimating Cyclone Intensity. International Journal Of Advance Research And Innovative Ideas In Education, 9(3), 2140-2145.
Chicago Veena R S, Abhijna K C, B G Shreyas, Bhargavi, and Dhanush Gowda S. "Deep Learning and INSAT-3D IR Imagery for Estimating Cyclone Intensity." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 3 (2023) : 2140-2145.
Oxford Veena R S, Abhijna K C, B G Shreyas, Bhargavi, and Dhanush Gowda S. 'Deep Learning and INSAT-3D IR Imagery for Estimating Cyclone Intensity', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 3, 2023, p. 2140-2145. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Deep_Learning_and_INSAT_3D_IR_Imagery_for_Estimating_Cyclone_Intensity_ijariie20428.pdf (Accessed : ).
Harvard Veena R S, Abhijna K C, B G Shreyas, Bhargavi, and Dhanush Gowda S. (2023) 'Deep Learning and INSAT-3D IR Imagery for Estimating Cyclone Intensity', International Journal Of Advance Research And Innovative Ideas In Education, 9(3), pp. 2140-2145IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Deep_Learning_and_INSAT_3D_IR_Imagery_for_Estimating_Cyclone_Intensity_ijariie20428.pdf (Accessed : )
IEEE Veena R S, Abhijna K C, B G Shreyas, Bhargavi, and Dhanush Gowda S, "Deep Learning and INSAT-3D IR Imagery for Estimating Cyclone Intensity," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 3, pp. 2140-2145, May-Jun 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/Deep_Learning_and_INSAT_3D_IR_Imagery_for_Estimating_Cyclone_Intensity_ijariie20428.pdf [Accessed : ].
Turabian Veena R S, Abhijna K C, B G Shreyas, Bhargavi, and Dhanush Gowda S. "Deep Learning and INSAT-3D IR Imagery for Estimating Cyclone Intensity." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 3 ().
Vancouver Veena R S, Abhijna K C, B G Shreyas, Bhargavi, and Dhanush Gowda S. Deep Learning and INSAT-3D IR Imagery for Estimating Cyclone Intensity. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(3) : 2140-2145. Available from: https://ijariie.com/AdminUploadPdf/Deep_Learning_and_INSAT_3D_IR_Imagery_for_Estimating_Cyclone_Intensity_ijariie20428.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Decentralized Voting System Using Ethereum BlockchainInformation Science and EngineeringDr. D. SIVAKUMAR Download
Enhancing Historical Consciousness through Digital Storytelling among Grade 11 General Academic Strand Students of Purisima National High School”SOCIAL SCIENCECHARITY P. CANONIGO Download
Comprehensive Framework for Real-Time Hand Gesture Recognition on Mobile Platforms using Machine Learning,TensorFlow Lite, Keras, MediaPipe, OpenCV and NumPyInformation Technology / Computer Engineering / Machine LearningRoshani Rajesh khobragade Download
WEALTH: YOUR SMART EXPENSE TRACKER AND FINANCIAL ADVISORInformation TechnologyPratiksha Mankar Download
Brain Tumor DetectionBrain Tumor Detection Using PythonPallavi Gajbhiye Download
SUVIDHA An E-commerce website for Local LaboursInformation Technology Aman Milind Mandape Download
Comprehensive Framework for Real-Time Hand Gesture Recognition on Mobile Platforms using Machine Learning, TensorFlow Lite, Keras, MediaPipe, OpenCV and NumPyInformation Technology / Computer Engineering / Machine LearningRoshani Rajesh khobragade Download
EDUNEXUS – A Student Development ApplicationInformation TechnologyNamrata Kanhole Download
Review on Festagram: An Event Management System for CollegesInformation science and engineeringAdarsh Download
Deep Learning Based 3D Object Detection and Pose EstimationComputer EngineeringPayal Behune Download
AI-Based Dynamic Route Generation and Optimization Using Real-Time Traffic and Road ParametersInformation Technology EngineeringAniket Ubale Download
SMART EXPIRY DATE TRACKER WITH FOOD RECOMMENDATIONSInformation Science and EngineeringMr Pradeep Nayak Download
A REVIEW ON ABSTRACTIVE MEETING SUMMARIZATION: TOWARDS SMARTER MEETING ASSISTANTSInformation Science and EngineeringKratika Sudarshan Halankar Download
A Review on Smart Appointment Scheduling Systems for Modern Hospital ManagementInformation Science and EngineeringDivya S Nayak Download
A Comprehensive Review of AI-Powered Resume Screening and Analysis SystemsInformation Science and EngineeringMr NAGESH U B Download
12