[HTML][HTML] A systematic review of trustworthy artificial intelligence applications in natural disasters
AS Albahri, YL Khaleel, MA Habeeb, RD Ismael… - Computers and …, 2024 - Elsevier
Artificial intelligence (AI) holds significant promise for advancing natural disaster
management through the use of predictive models that analyze extensive datasets, identify …
management through the use of predictive models that analyze extensive datasets, identify …
[PDF][PDF] A comprehensive review of the recent advancement in integrating deep learning with geographic information systems
A Raihan - Research Briefs on Information and Communication …, 2023 - researchgate.net
The integration of deep learning (DL) techniques with geographical information system (GIS)
offers a promising avenue for gaining novel insights into environmental phenomena by …
offers a promising avenue for gaining novel insights into environmental phenomena by …
GIS-based landslide susceptibility mapping using logistic regression, random forest and decision and regression tree models in Chattogram District, Bangladesh
MS Chowdhury, MN Rahman, MS Sheikh, MA Sayeid… - Heliyon, 2024 - cell.com
The frequency of landslides and related economic and environmental damage has
increased in recent decades across the hilly areas of the world, no exception is Bangladesh …
increased in recent decades across the hilly areas of the world, no exception is Bangladesh …
Artificial neural network approaches for disaster management: A literature review
Disaster management (DM) is one of the leading fields that deal with the humanitarian
aspects of emergencies. The field has attracted researchers because of its ever-increasing …
aspects of emergencies. The field has attracted researchers because of its ever-increasing …
Geomorphic and sedimentary effects of modern climate change: current and anticipated future conditions in the western United States
Hydroclimatic changes associated with global warming over the past 50 years have been
documented widely, but physical landscape responses are poorly understood thus far …
documented widely, but physical landscape responses are poorly understood thus far …
Swarm intelligence optimization of the group method of data handling using the cuckoo search and whale optimization algorithms to model and predict landslides
The robustness of landslide prediction models has become a major focus of researchers
worldwide. We developed two novel hybrid predictive models that combine the self …
worldwide. We developed two novel hybrid predictive models that combine the self …
Landslide susceptibility mapping in Three Gorges Reservoir area based on GIS and boosting decision tree model
As one of the most destructive geological disasters, a myriad of landslides has revived and
developed in the Three Gorges Reservoir area under the combined action of various …
developed in the Three Gorges Reservoir area under the combined action of various …
Landslide susceptibility index based on the integration of logistic regression and weights of evidence: A case study in Popayan, Colombia
P Goyes-Peñafiel, A Hernandez-Rojas - Engineering Geology, 2021 - Elsevier
In this paper, we present a suitable integration of discrete and continuous data in a unique
methodology based on systematically collected landslide inventory data. Eleven landslide …
methodology based on systematically collected landslide inventory data. Eleven landslide …
Comparative analysis of machine learning and multi-criteria decision making techniques for landslide susceptibility mapping of Muzaffarabad district
Landslides are natural disasters deliberated as the most destructive among the others
considered. Using the Muzaffarabad as a case study, this work compares the performance of …
considered. Using the Muzaffarabad as a case study, this work compares the performance of …
Comparison of gradient boosted decision trees and random forest for groundwater potential mapping in Dholpur (Rajasthan), India
S Sachdeva, B Kumar - Stochastic Environmental Research and Risk …, 2021 - Springer
In the drought prone district of Dholpur in Rajasthan, India, groundwater is a lifeline for its
inhabitants. With population explosion and rapid urbanization, the groundwater is being …
inhabitants. With population explosion and rapid urbanization, the groundwater is being …