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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
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Issue Published : 115
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| Paper Title: | A Transfer Learning Approach To Earthquake Aftermath Analysis |
| Authors Name: | Matta Thrinadh , Vutukuri Sailesh , Mohammad Afrin , Thota Bhanu , Dr. S Narayana |
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IJRTI_202185
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| Published Paper Id: | IJRTI2504140 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | |
| Abstract: | The destruction caused by earthquakes is very disastrous and causes economic disinvestment and risk to lives. Timely and accurate damage assessment is necessary for disaster response and recovery. Existing procedures for measuring damage, like ground surveys, are slow, labor-extensive, and generally impractical in badly hit areas. In this study, we will present an automated damage detection framework using satellite imagery and Deep Learning-based transfer learning techniques, precisely EfficientNetB0 and VGG16. The pre-trained CNNs are fine-tuned to classify and segment damaged structures in the post-earthquake territories, based on labeled satellite images. Efficiency is provided by EfficientNetB0 with high accuracy, while VGG16 provides good feature extraction for deep analysis. It is trained and evaluated on benchmark disaster datasets, achieving promising results in terms of precision, recall, and F1-score. The remarkable aspect of the proposed approach is the drastically reduced assessment time entailed by the procedures for efficient real-time disaster response management, improved situational awareness, and good resource allocation for emergency response teams. |
| Keywords: | Earthquakes, Vgg16, Transfer Learning, Efficient Net B0, Cnn |
| Cite Article: | "A Transfer Learning Approach To Earthquake Aftermath Analysis", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.b330-b337, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504140.pdf |
| Downloads: | 000290 |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2504140
Registration ID:202185
Published In: Volume 10 Issue 4, April-2025
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Page No: b330-b337 Country: gudivada, Andhra Pradesh, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504140 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504140 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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