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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Published Paper Details:
Paper Title
Damage Severity Analysis and Resource Allocation
Authors
Maria Treesa Anoop, Jubelin Elizabeth Joji, Ria Joseph, Sanisha.C.Roy, Er. Prince.V.Jose
Keywords
Artificial Intelligence (AI), Machine Learning (ML), Post-disaster damage assessment, Resource allocation, Attention-based models, Fully Convolutional Networks (FCNs), U-Net, Q-learning, Deep Q-learning (DQN), Multi-objective optimization, Semantic segmentation, UAV imagery, Reinforcement learning, Disaster management, Meta-heuristic algorithms
Abstract
This review paper explores various strategies for
assessing post-disaster damage and optimizing resources, focusing
on artificial intelligence and machine learning techniques. The
research explores attention-based models, Fully Convolutional
Networks (FCNs), multi-objective optimization, semi-supervised
semantic segmentation, U-Net, and applications of Q-learning.
Each method demonstrates distinct advantages in improving the
accuracy, speed, and efficiency of disaster response initiatives.
Key aspects involve using aerial images to assess damage,
enhancing flood mapping, and distributing resources through
reinforcement learning. These developments provide crucial tools
for managing crises, enabling swift and precise evaluations and
decisions in aftermath scenarios.
IJCRT's Publication Details
Unique Identification Number - IJCRT2501436
Paper ID - 275416
Page Number(s) - d883-d893
Pubished in - Volume 13 | Issue 1 | January 2025
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Maria Treesa Anoop, Jubelin Elizabeth Joji, Ria Joseph, Sanisha.C.Roy, Er. Prince.V.Jose, "Damage Severity Analysis and Resource Allocation", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 1, pp.d883-d893, January 2025, Available at :http://www.ijcrt.org/papers/IJCRT2501436.pdf
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Volume 14 | Issue 3
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March 2026
Volume 14 | Issue 3
Last Date :
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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