[HTML][HTML] Dynamic prediction of landslide life expectancy using ensemble system incorporating classical prediction models and machine learning
LL Liu, HD Yin, T Xiao, L Huang, YM Cheng - Geoscience Frontiers, 2024 - Elsevier
With the development of landslide monitoring system, many attempts have been made to
predict landslide failure-time utilizing monitoring data of displacements. Classical models …
predict landslide failure-time utilizing monitoring data of displacements. Classical models …
Flood susceptibility assessment of the Agartala Urban Watershed, India, using machine learning algorithm
Frequent floods are a severe threat to the well-being of people the world over. This is
particularly severe in developing countries like India where tropical monsoon climate …
particularly severe in developing countries like India where tropical monsoon climate …
Artificial intelligence algorithms in flood prediction: a general overview
M Pandey - Geo-information for Disaster Monitoring and …, 2024 - Springer
This paper presents a comprehensive general overview of the extensive literature available
in the field of application of artificial intelligence (AI) in flood prediction. The initial approach …
in the field of application of artificial intelligence (AI) in flood prediction. The initial approach …
Leveraging machine learning and open-source spatial datasets to enhance flood susceptibility mapping in transboundary river basin
Floods pose devastating effects on the resiliency of human and natural systems. flood risk
management challenges are typically complicated in the transboundary river basin due to …
management challenges are typically complicated in the transboundary river basin due to …
Integrating Support Vector Machines with Different Ensemble Learners for Improving Streamflow Simulation in an Ungauged Watershed
Streamflow simulation, particularly in ungauged watersheds, poses a significant challenge
in surface water hydrology. The estimation of natural river and streamflow has been a …
in surface water hydrology. The estimation of natural river and streamflow has been a …
Flood hazards mapping by linking CF, AHP, and fuzzy logic techniques in urban areas
Flooding has become a devastating natural hazard worldwide, posing a substantial hazard
to civilization and leading to socioeconomic losses. Urban flooding in India is on the rise due …
to civilization and leading to socioeconomic losses. Urban flooding in India is on the rise due …
Modelling on assessment of flood risk susceptibility at the Jia Bharali River basin in Eastern Himalayas by integrating multicollinearity tests and geospatial techniques
Climate change and anthropogenic factors have exacerbated flood risks in many regions
across the globe, including the Himalayan foothill region in India. The Jia Bharali River …
across the globe, including the Himalayan foothill region in India. The Jia Bharali River …
Forecasting of compound ocean-fluvial floods using machine learning
Flood modelling and forecasting can enhance our understanding of flood mechanisms and
facilitate effective management of flood risk. Conventional flood hazard and risk …
facilitate effective management of flood risk. Conventional flood hazard and risk …
A Novel Approach to Flood Risk Assessment: Synergizing with Geospatial based MCDM-AHP Model, Multicollinearity, and Sensitivity Analysis in the Lower …
P Dutta, S Deka - Journal of Cleaner Production, 2024 - Elsevier
Floods persist as a recurring and daunting peril in the Brahmaputra plain of Assam.
Notwithstanding advancement, Bongaigaon is a highly flood-afflicted district in the lower part …
Notwithstanding advancement, Bongaigaon is a highly flood-afflicted district in the lower part …
Flood vulnerability mapping in an urban area with high levels of impermeable coverage in southern Brazil
Flooding is one of the main social impacts in urban areas, especially in larger, densely
impermeable cities. Therefore, developing studies capable of identifying areas that are …
impermeable cities. Therefore, developing studies capable of identifying areas that are …