[HTML][HTML] Landslide susceptibility mapping using machine learning: A literature survey
Landslide is a devastating natural disaster, causing loss of life and property. It is likely to
occur more frequently due to increasing urbanization, deforestation, and climate change …
occur more frequently due to increasing urbanization, deforestation, and climate change …
[HTML][HTML] Digital post-disaster risk management twinning: a review and improved conceptual framework
U Lagap, S Ghaffarian - International Journal of Disaster Risk Reduction, 2024 - Elsevier
Digital Twins (DT) is the real-time virtual representation of systems, communities, cities, or
even human beings with the substantial potential to revolutionize post-disaster risk …
even human beings with the substantial potential to revolutionize post-disaster risk …
Modeling landslide susceptibility based on convolutional neural network coupling with metaheuristic optimization algorithms
Z Chen, D Song - International Journal of Digital Earth, 2023 - Taylor & Francis
Landslides are one of the most common geological hazards worldwide, especially in
Sichuan Province (Southwest China). The current study's main purposes are to explore the …
Sichuan Province (Southwest China). The current study's main purposes are to explore the …
A novel evolutionary combination of artificial intelligence algorithm and machine learning for landslide susceptibility mapping in the west of Iran
Y Shen, A Ahmadi Dehrashid, RA Bahar… - … Science and Pollution …, 2023 - Springer
Detecting and mapping landslides are crucial for effective risk management and planning.
With the great progress achieved in applying optimized and hybrid methods, it is necessary …
With the great progress achieved in applying optimized and hybrid methods, it is necessary …
LogRF: An approach to human pose estimation using skeleton landmarks for physiotherapy fitness exercise correction
Human pose and gesture estimation are crucial in correcting physiotherapy fitness
exercises. In recent years, advancements in computer vision and machine learning …
exercises. In recent years, advancements in computer vision and machine learning …
Novel ensemble machine learning modeling approach for groundwater potential mapping in Parbhani District of Maharashtra, India
Groundwater is an essential source of water especially in arid and semi-arid regions of the
world. The demand for water due to exponential increase in population has created stresses …
world. The demand for water due to exponential increase in population has created stresses …
Modeling land use/cover change based on LCM model for a semi-arid area in the Latian Dam Watershed (Iran)
The monitoring and modeling of changes, based on a time-series LULC approach, is
fundamental for planning and managing regional environments. The current study analyzed …
fundamental for planning and managing regional environments. The current study analyzed …
Assessing landscape ecological vulnerability to riverbank erosion in the Middle Brahmaputra floodplains of Assam, India using machine learning algorithms
Riverbank erosion is one of the most catastrophic hazards that renders floodplains
vulnerable across the world vulnerable. It creates a significant negative impact on the …
vulnerable across the world vulnerable. It creates a significant negative impact on the …
[HTML][HTML] Developing flood mapping procedure through optimized machine learning techniques. Case study: Prahova river basin, Romania
Study region Prahova river basin located in the central-southern region of Romania. Study
focus This study aims to assess the susceptibility to flooding by using state-of-the-art …
focus This study aims to assess the susceptibility to flooding by using state-of-the-art …
An innovative method for landslide susceptibility mapping supported by fractal theory, GeoDetector, and random forest: a case study in Sichuan Province, SW China
Z Chen, D Song, L Dong - Natural Hazards, 2023 - Springer
Globally, but especially in Sichuan Province (Southwest China), landslides are considered
to be one of the most common geological hazards. The purpose of the current study is to …
to be one of the most common geological hazards. The purpose of the current study is to …