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Earthquake risk assessment using an integrated Fuzzy Analytic Hierarchy Process with Artificial Neural Networks based on GIS: A case study of Sanandaj in Iran
Earthquakes are natural phenomena, which induce natural hazard that seriously threatens
urban areas, despite significant advances in retrofitting urban buildings and enhancing the …
urban areas, despite significant advances in retrofitting urban buildings and enhancing the …
[HTML][HTML] Identifying exposure of urban area to certain seismic hazard using machine learning and GIS: A case study of greater Cairo
The 1992 Cairo earthquake, with a moment magnitude of 5.8, is the most catastrophic
earthquake to shock the Greater Cairo (GC) in recent decades. According to the very limited …
earthquake to shock the Greater Cairo (GC) in recent decades. According to the very limited …
Ten GIS-based solutions for managing and controlling COVID-19 pandemic outbreak
NN Samany, H Liu, R Aghataher, M Bayat - SN computer science, 2022 - Springer
Abstract The coronavirus (COVID-19) pandemic has caused disastrous results in most
countries of the world. It has rapidly spread across the globe with over 156 million …
countries of the world. It has rapidly spread across the globe with over 156 million …
Evaluating the application of K-mean clustering in Earthquake vulnerability map** of Istanbul, Turkey
Performing the most up-to-date and accurate vulnerability assessment is key to an effective
earthquake disaster management. In cities like Istanbul (Turkey) with a high rate of urban …
earthquake disaster management. In cities like Istanbul (Turkey) with a high rate of urban …
A risk-based decision-making approach for identifying natural-based tourism potential areas
Natural-based tourism (NBT) as a fast-growing and key part of the tourism industry, plays an
important role in the economic development of countries. There has been always a degree …
important role in the economic development of countries. There has been always a degree …
Earthquake risk map** in the Himalayas by integrated analytical hierarchy process, entropy with neural network
Earthquakes are natural disasters that threaten human lives and infrastructure, especially in
seismo-tectonically active regions. Therefore, map** and assessment of earthquake risks …
seismo-tectonically active regions. Therefore, map** and assessment of earthquake risks …
[HTML][HTML] Earthquake vulnerability map** using different hybrid models
The main purpose of the present study was to mathematically integrate different decision
support systems to enhance the accuracy of seismic vulnerability map** in Sanandaj City …
support systems to enhance the accuracy of seismic vulnerability map** in Sanandaj City …
Spatial modeling of areas suitable for public libraries construction by integration of GIS and multi-attribute decision making: Case study Tehran, Iran
Spatial features of libraries are crucial to increasing trends in library usage, particularly in
the case of attracting students. Selecting a suitable location for the establishment of public …
the case of attracting students. Selecting a suitable location for the establishment of public …
Detection of safe areas in flood as emergency evacuation stations using modified particle swarm optimization with local search
Emergency evacuation throughout and after the flood is a crucial task to mitigating more
instantaneous impacts, whilst refining social resilience for longer-term recovery. To enhance …
instantaneous impacts, whilst refining social resilience for longer-term recovery. To enhance …
Building vulnerability assessment in seismic areas using ensemble learning: A Nepal case study
W Chen, L Zhang - Journal of Cleaner Production, 2022 - Elsevier
The vulnerability assessment is a crucial method for earthquake-prone areas to manage
seismic risk. This paper develops an Extreme gradient boosting (XGBoost)-based model to …
seismic risk. This paper develops an Extreme gradient boosting (XGBoost)-based model to …