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Real-World Implementation of Cloud Computing New Technologies
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Author(s): Dharmesh Dhabliya (Department of Information Technology, Vishwakarma Institute of Information Technology, India), Sukhvinder Singh Dari (Symbiosis Law School, Symbiosis International University, Pune, India), Nitin N. Sakhare (Department of Computer Engineering, BRACT'S Vishwakarma Institute of Information Technology, India), Anish Kumar Dhablia (Altimetrik India Pvt. Ltd., Pune, India), Digvijay Pandey (Department of Technical Education, Government of Uttar Pradesh, India), A. Shaji George (TSM, Almarai Company, Riyadh, Saudi Arabia), A. Shahul Hameed (Department of Telecommunication, Consolidated Techniques Co. Ltd., Riyadh, Saudi Arabia)and Pankaj Dadheech (Swami Keshvaand Institute of Technology, Management, and Gramothan, India)
Copyright: 2024
Pages: 17
Source title:
Emerging Trends in Cloud Computing Analytics, Scalability, and Service Models
Source Author(s)/Editor(s): Dina Darwish (Ahram Canadian University, Egypt)
DOI: 10.4018/979-8-3693-0900-1.ch020
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Abstract
Smart cities are novel and difficult to study. Fires can kill people and destroy resources in cities near forests, farms, and open spaces. Sensor networks and UAVs are used to construct an early fire detection system to reduce fires. The suggested method uses sensors and IoT apps to monitor the surroundings. The suggested fire detection system includes UAVs, wireless sensors, and cloud computing. Image processing improves fire detection in the proposed system. Genuine detection is also improved by rules. Many current fire detection technologies are compared to the suggested system's simulation findings. The approach improves forest fire detection from 89 to 97%.
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