Search Results - "Haijia Wen"
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A random forest model of landslide susceptibility mapping based on hyperparameter optimization using Bayes algorithm
Published in Geomorphology (Amsterdam, Netherlands) (01-08-2020)“…The choice of model parameters in landslide susceptibility mapping makes a major determinant of model accuracy. The purpose of this study is to optimize the…”
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Identifying the essential conditioning factors of landslide susceptibility models under different grid resolutions using hybrid machine learning: A case of Wushan and Wuxi counties, China
Published in Catena (Giessen) (01-10-2022)“…[Display omitted] •The effect of grid resolution on factors was investigated.•Three models for finding the essential factor are proposed.•The essential factors…”
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A hybrid optimization method of factor screening predicated on GeoDetector and Random Forest for Landslide Susceptibility Mapping
Published in Geomorphology (Amsterdam, Netherlands) (15-04-2021)“…The aim of this study was to develop a hybrid model (Geo-RFE-RF) for Landslide Susceptibility Mapping (LSM) predicated on GeoDetector and Random Forest (RF)…”
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An optimal sample selection-based logistic regression model of slope physical resistance against rainfall-induced landslide
Published in Natural hazards (Dordrecht) (2021)“…Due to the insufficient ability of the slope to resist deformation and frequent rainfall, geological disasters often occur on the mountain slopes, especially…”
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Quantitative Assessment of Landslide Risk Based on Susceptibility Mapping Using Random Forest and GeoDetector
Published in Remote sensing (Basel, Switzerland) (01-07-2021)“…This study aims to evaluate risk and discover the distribution law for landslides, so as to enrich landslide prevention theory and method. It first selected…”
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An Optimized Random Forest Model and Its Generalization Ability in Landslide Susceptibility Mapping: Application in Two Areas of Three Gorges Reservoir, China
Published in Journal of earth science (Wuhan, China) (01-12-2020)“…Numerous researches have been published on the application of landslide susceptibility assessment models; however, they were only applied in the same areas as…”
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A LightGBM-based landslide susceptibility model considering the uncertainty of non-landslide samples
Published in Geomatics, natural hazards and risk (31-12-2023)“…The quality of samples is crucial in constructing a data-driven landslide susceptibility model. This article aims to construct a data-driven landslide…”
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A novel QLattice‐based whitening machine learning model of landslide susceptibility mapping
Published in Earth surface processes and landforms (01-01-2024)“…Landslide susceptibility mapping (LSM) enables the prediction of landslide occurrences, thereby offering a scientific foundation for disaster prevention and…”
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Assessment of landslide susceptibility mapping based on Bayesian hyperparameter optimization: A comparison between logistic regression and random forest
Published in Engineering geology (01-02-2021)“…This study aims to develop two optimized models of landslide susceptibility mapping (LSM), i.e., logical regression (LR) and random forest (RF) models,…”
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Theoretical analysis on stress distribution characteristics around a shallow buried spherical Karst cave containing fill materials in limestone strata
Published in Environmental earth sciences (01-02-2022)“…The chief objective of the article is to learn the spatial characteristics of stress distribution around a shallow buried spherical Karst cave containing fill…”
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Different-Classification-Scheme-Based Machine Learning Model of Building Seismic Resilience Assessment in a Mountainous Region
Published in Remote sensing (Basel, Switzerland) (22-04-2023)“…This study aims to develop different-classification-scheme-based building-seismic-resilience (BSR)-mapping models using random forest (RF) and a support vector…”
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Insights into landslide susceptibility in different karst erosion landforms based on interpretable machine learning
Published in Earth surface processes and landforms (15-03-2024)“…The aim of the present study was to assess differences in the conditioning factors and the performance of landslide susceptibility mapping (LSM), employing the…”
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Analytical model for the load transmission law of rock bolt subjected to open and sliding joint displacements
Published in International journal of rock mechanics and mining sciences (Oxford, England : 1997) (01-12-2017)“…The present study focuses on the load transmission law along the rock bolt and the efficacy for different anchored conditions. Shear displacement along the…”
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Study on Machine Learning Models for Building Resilience Evaluation in Mountainous Area: A Case Study of Banan District, Chongqing, China
Published in Sensors (Basel, Switzerland) (03-02-2022)“…'Resilience' is a new concept in the research and application of urban construction. From the perspective of building adaptability in a mountainous environment…”
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A Hybrid Landslide Warning Model Coupling Susceptibility Zoning and Precipitation
Published in Forests (01-06-2022)“…Landslides are one of the most severe and common geological hazards in the world. The purpose of this research is to establish a coupled landslide warning…”
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A susceptibility mapping model of earthquake-triggered slope geohazards based on geo-spatial data in mountainous regions
Published in Georisk (02-01-2015)“…The main purpose of this paper is to develop a susceptibility mapping model of earthquake-trigged slope geohazards based on geo-spatial data in mountainous…”
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Landslides in Forests around the World: Causes and Mitigation
Published in Forests (01-03-2023)“…Landslides are a common natural disaster in forested mountainous regions [...]…”
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Landslide-oriented disaster resilience evaluation in mountainous cities: A case study in Chongqing, China
Published in Resilient Cities and Structures (01-12-2024)“…•Developed a novel a framework to assess spatial resilience of mountainous cities to landslides.•Proposed systematic resilience evaluation indicators for…”
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Analysis of Soil–Water Characteristics and Stability Evolution of Rainfall-Induced Landslide: A Case of the Siwan Village Landslide
Published in Forests (01-04-2023)“…This paper aimed to study the soil–water characteristics and stability evolution law of rainfall-induced landslide. Taking the two landslide events in Siwan…”
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A prediction model for Xiangyang Neolithic sites based on a random forest algorithm
Published in Open Geosciences (31-03-2023)“…The archaeological site prediction model can accurately identify archaeological site areas to enable better knowledge and understanding of human civilization…”
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