📅 30 December 2024
DOI: 10.61132/iconfes.v1i2.33
AI-Driven Disaster Response Systems for Infrastructure Resilience
Proceeding of the International Conferences on Engineering Sciences
Asosiasi Riset Ilmu Teknik Indonesia (ARITEKIN)
📄 Abstract
Natural disasters such as earthquakes, hurricanes, and floods pose significant risks to critical infrastructure. AI-driven disaster response systems provide real-time analytics, predictive modeling, and automated response strategies to mitigate damage and improve recovery efforts. This paper explores how AI-powered drones, satellite imagery, and sensor networks enhance disaster monitoring and decision-making. Additionally, the study discusses the role of AI in optimizing emergency resource allocation and predicting infrastructure vulnerabilities. Through an analysis of past disaster management strategies, this research aims to propose AI-integrated frameworks that enhance disaster preparedness and resilience.
🔖 Keywords
#Disaster Response; AI in Crisis Management; Infrastructure Resilience; Predictive Analytics; Emergency Systems; Smart Cities
ℹ️ Informasi Publikasi
Tanggal Publikasi
30 December 2024
Volume / Nomor / Tahun
Volume 1, Nomor 2, Tahun 2024
📝 HOW TO CITE
Farhan Idris; Azlan Rafiq, "AI-Driven Disaster Response Systems for Infrastructure Resilience," Proceeding of the International Conferences on Engineering Sciences, vol. 1, no. 2, Dec. 2024.
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