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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: December 2025
Volume 10 | Issue 12
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19459
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
Total Countries : 145
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| Paper Title: | Disaster Management and Prediction: An In-Depth Review of Modern Approaches |
| Authors Name: | Amal Biju , M P Arjun Krishna , Aswin Biju , Roshan Varghese Sam , Tinimol Andrews |
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IJRTI_200372
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| Published Paper Id: | IJRTI2501062 |
| Published In: | Volume 10 Issue 1, January-2025 |
| DOI: | |
| Abstract: | As natural disasters increase in both frequency and intensity, there is an urgent need for innovative solutions in disaster management and prediction. This survey examines the role of machine learning (ML), Internet of Things (IoT), edge computing, and artificial intelligence (AI) in developing proactive and responsive disaster management frameworks. ML and AI enable predictive analytics that can foresee disaster patterns and identify critical risk factors, while IoT and edge computing facilitate real-time data gathering and processing closer to the source. These technologies work together to enhance situational awareness, improve emergency response times, and support efficient resource management during crises. By integrating these advanced technologies, disaster management systems are better equipped to anticipate, respond to, and recover from disasters, ultimately reducing impact and enhancing resilience. This survey highlights the strengths of these systems, along with challenges in data privacy, cost, and cross-platform interoperability, and calls for continued development in technology-driven solutions for global disaster resilience. |
| Keywords: | Machine learning, Disaster, Prediction |
| Cite Article: | "Disaster Management and Prediction: An In-Depth Review of Modern Approaches", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 1, page no.a511-a516, January-2025, Available :http://www.ijrti.org/papers/IJRTI2501062.pdf |
| Downloads: | 000547 |
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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: IJRTI2501062
Registration ID:200372
Published In: Volume 10 Issue 1, January-2025
DOI (Digital Object Identifier):
Page No: a511-a516 Country: Kottayam, Kerala, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2501062 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2501062 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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