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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM40611
Volume:
9 |
1 |
Jan 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Landslides are natural disasters that cause significant damage to infrastructure, ecosystems, and human life. Accurate and timely prediction of landslides is crucial for reducing the impact of these events. This paper explores a novel approach to landslide prediction using Ethereum, a leading blockchain platform. By leveraging the capabilities of Ethereum, we propose a decentralized system that collects, stores, and analyzes environmental data through smart contracts, providing a transparent, tamper-proof, and efficient way to predict landslides. The system integrates IoT sensors, machine learning models, and blockchain to ensure data integrity, automate alerts, and enhance decision-making processes for disaster management agencies and affected.
KEYWORDS
Publication Date
8/31/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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