Automated Multi-Hazard Early Warning and Response System Using Advanced Computing Technique

SARVESH, V and Bharathi, A. (2026) Automated Multi-Hazard Early Warning and Response System Using Advanced Computing Technique. JOURNAL OF ADVANCE AND FUTURE RESEARCH, 4 (4). pp. 919-925. ISSN 2984-889X

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Abstract

The A-MHEWRS system is developed to provide an efficient, reliable, and intelligent solution for addressing
modern technological challenges through the integration of advanced computing techniques. The main objective of this
project is to enhance system performance, accuracy, and user accessibility by implementing a structured and scalable
framework. The proposed system focuses on the collection, processing, and analysis of data in a systematic manner to
ensure accurate and timely results. By incorporating automation and optimized methodologies, the system minimizes
manual effort and reduces operational complexity. It is designed with a user-friendly interface, allowing seamless
interaction and ease of use for users with varying levels of technical expertise. Furthermore, the A-MHEWRS system
improves decision-making capabilities by delivering precise and consistent outputs. The implementation demonstrates
enhanced efficiency, security, and adaptability when compared to conventional systems. The results obtained validate
the effectiveness of the proposed model in meeting current requirements and addressing potential future demands. In
conclusion, the A-MHEWRS project presents a robust and flexible solution that contributes to the advancement of
intelligent systems. It can be further extended and applied across various domains to improve overall system functionality
and performance.

Item Type: Article
Subjects: Computer Science Engineering > Artificial Intelligence
Domains: Computer Science Engineering
Depositing User: Mr IR Admin
Date Deposited: 10 May 2026 12:02
Last Modified: 10 May 2026 12:02
URI: https://ir.vistas.ac.in/id/eprint/13775

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