Machine Learning Algorithms for Natural Disaster Management
S Selvanayaki, S Deepa, G Keerthika - Internet of Things and AI for …, 2024 - igi-global.com
The repercussions of natural disasters can be devastating to the local population, and their
recurrence is unavoidable. Scientists all throughout the globe are trying to figure out how to …
recurrence is unavoidable. Scientists all throughout the globe are trying to figure out how to …
Türkiye'deki 15. ve 16. yy. dönemi tarihi camilerinin tahliye sürelerinin analizi
AY Topraklı, MS Satır - Gazi Üniversitesi Mühendislik Mimarlık …, 2024 - dergipark.org.tr
Türkiye'nin farklı bölgelerinden seçilen 15. ve 16. yy. dönemine ait 67 tarihi caminin tahliye
analizinin yapıldığı bu çalışmada camilerin tahliye süreleri, kişi başına düşen çıkış …
analizinin yapıldığı bu çalışmada camilerin tahliye süreleri, kişi başına düşen çıkış …
Possibility of Public Facility as a Temporary Evacuation Shelter for Overnight Tourists at Internal Flooding: A Case of the Historic Center in Chiang Mai, Thailand
K Nishimura, N Mishima - World Congress of Architects, 2023 - Springer
Resilient inclusive cities need evacuation plans for tourists, especially when considering the
recent increase in severe disasters due to climate change. The purpose of this study is to …
recent increase in severe disasters due to climate change. The purpose of this study is to …
Assessing Evacuation Risks in Prominent Historical Mosques: An Integrated Quantitative and Qualitative Approach Via the Hm-Eri Framework
AY TOPRAKLI, MS SATIR - Available at SSRN 4793000 - papers.ssrn.com
Abstract The Historical Mosque Evacuation Risk Index (HM-ERI) is an innovative framework
developed to tackle the distinct challenges linked to effective and prompt evacuations in …
developed to tackle the distinct challenges linked to effective and prompt evacuations in …
[PDF][PDF] Research Article A Technology Survey on IoT Applications Serving Umrah and Hajj
M Binsawad, M Albahar - 2022 - academia.edu
Emerging technologies provide a highly compatible platform for analyzing substantial data
volumes relating to crowd management. ese technologies are not only effective in providing …
volumes relating to crowd management. ese technologies are not only effective in providing …
Machine Learning Based Real Time-Heuristic Sensor Data Analytics For Early Warning Prediction
S Pal, DK Mishra, A Haldorai, LR Parvathy, S Janupriya… - 2021 - researchsquare.com
Landslides have the potential to cause significant property damage as well as fatalities.
Landslides are identified by real-time heuristic data analysis acquired using wireless sensor …
Landslides are identified by real-time heuristic data analysis acquired using wireless sensor …