AIMC Topic: Landslides

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Evaluation of coseismic landslide susceptibility by combining Newmark model and XGBoost algorithm.

PloS one Aug 11, 2025
Coseismic landslides are among the most perilous geological disasters in hilly places after earthquakes. Precise assessment of coseismic landslide susceptibility is crucial for forecasting the effects of landslides and alleviating subsequent tragedie...
Models, Theoretical Monte Carlo Method Machine Learning Algorithms Landslides Earthquakes Disasters Boosting Machine Learning Algorithms
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Machine learning-based assessment of regional-scale variation of landslide susceptibility in central Vietnam.

PloS one Oct 25, 2024
Recurrent landslide events triggered by typhoons and tropical storms over Vietnam pose a longstanding threat to the nation's population and infrastructure. Changes in hydroclimatic conditions, especially the growing intensity and frequency of storms,...
Machine Learning Vietnam Landslides Cyclonic Storms
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Game-theoretic optimization of landslide susceptibility mapping: a comparative study between Bayesian-optimized basic neural network and new generation neural network models.

Environmental science and pollution research international Apr 9, 2024
Landslide susceptibility mapping is essential for reducing the risk of landslides and ensuring the safety of people and infrastructure in landslide-prone areas. However, little research has been done on the development of well-optimized Elman neural ...
Neural Networks, Computer Bayes Theorem Machine Learning Landslides
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Evaluating the influence of road construction on landslide susceptibility in Saudi Arabia's mountainous terrain: a Bayesian-optimised deep learning approach with attention mechanism and sensitivity analysis.

Environmental science and pollution research international Dec 12, 2023
In the mountainous region of Asir region of Saudi Arabia, road construction activities are closely associated with frequent landslides, posing significant risks to both human life and infrastructural development. This highlights an urgent need for a ...
Geographic Information Systems Deep Learning Humans Landslides Saudi Arabia Bayes Theorem
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A novel evolutionary combination of artificial intelligence algorithm and machine learning for landslide susceptibility mapping in the west of Iran.

Environmental science and pollution research international Nov 21, 2023
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 to use them to increase the accuracy of landslide susceptibility maps....
Landslides Machine Learning Algorithms Geographic Information Systems Iran Artificial Intelligence
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Ensemble of fuzzy-analytical hierarchy process in landslide susceptibility modeling from a humid tropical region of Western Ghats, Southern India.

Environmental science and pollution research international May 9, 2023
The western flanks of the Western Ghats are one of the major landslide hotspots in India. Recent rainfall triggered landslide incidents in this humid tropical region necessitating the accurate and reliable landslide susceptibility mapping (LSM) of se...
Tropical Climate Landslides India Geographic Information Systems Models, Theoretical Environmental Monitoring Fuzzy Logic
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Landslide susceptibility prediction improvements based on a semi-integrated supervised machine learning model.

Environmental science and pollution research international Feb 15, 2023
Differences in model application effectiveness, insufficient numbers of disaster samples, and unreasonable selection of non-hazard samples are common problems in landslide susceptibility studies. Therefore, in this paper, we propose a semi-integrated...
Neural Networks, Computer Machine Learning Landslides Bayes Theorem Supervised Machine Learning
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Expedite Quantification of Landslides Using Wireless Sensors and Artificial Intelligence for Data Controlling Practices.

Computational intelligence and neuroscience May 23, 2022
The power of wireless network sensor technologies has enabled the development of large-scale in-house monitoring systems. The sensor may play a big part in landslide forecasting where the sensor linked to the WLAN protocol can usefully map, detect, a...
Humans Artificial Intelligence Landslides Algorithms Wireless Technology Motion
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A Robust Deep-Learning Model for Landslide Susceptibility Mapping: A Case Study of Kurdistan Province, Iran.

Sensors (Basel, Switzerland) Feb 17, 2022
We mapped landslide susceptibility in Kamyaran city of Kurdistan Province, Iran, using a robust deep-learning (DP) model based on a combination of extreme learning machine (ELM), deep belief network (DBN), back propagation (BP), and genetic algorithm...
Iran Landslides Deep Learning Support Vector Machine Geographic Information Systems
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The use of surrounding rock loosening circle theory combined with elastic-plastic mechanics calculation method and depth learning in roadway support.

PloS one Jul 15, 2020
The objective is to study the design method of roadway support and provide technical support for coal mining and other mining methods that need deep roadway excavation. Through literature review, the occurrence, development mechanism and influencing ...
Mechanical Phenomena Coal Mining Landslides Deep Learning Geological Phenomena Engineering Elasticity Pliability Decision Support Techniques
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