Publication Type : Conference Paper
Source : 2024 3rd International Conference on Sentiment Analysis and Deep Learning (ICSADL), Bhimdatta, Nepal, 2024, pp. 529-533, doi: 10.1109/ICSADL61749.2024.00092.
Url : https://www.computer.org/csdl/proceedings-article/icsadl/2024/961500a529/1YRNz6Z4jao
Campus : Bengaluru
School : School of Engineering
Department : Electrical and Electronics
Year : 2024
Abstract : For organizations and governments around the world disaster management is a crucial area of concern. There is a growing demand for effective and efficient disaster management systems due to the frequency and severity of natural and man-made disasters. A viable way to improve disaster management skills is possible because of the development of the Internet of Things (IoT). IoT-based disaster management system enhances preparedness, response, and recovery efforts by utilizing networked devices, sensors, and data analytics. In this work, a complete and real-time catastrophe management framework is created using the advantages of sensor-based monitoring and IoT. This work offers capabilities for real-time monitoring combined with early warning of earthquakes which provides room for effective resource allocation for disaster management. By implementing such a system, communities can become much more resilient overall and save money and lives during critical situations.
Cite this Research Publication : V. Koushik, N. V. S. Sasipreetham, M. Nithya and Manitha P. V., "Early Detection and Warning System for Earthquakes Using Internet of Things," 2024 3rd International Conference on Sentiment Analysis and Deep Learning (ICSADL), Bhimdatta, Nepal, 2024, pp. 529-533, doi: 10.1109/ICSADL61749.2024.00092.