Search Results - "Liao, Mingyong"
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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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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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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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Insights into spatial differential characteristics of landslide susceptibility from sub-region to whole-region cased by northeast Chongqing, China
Published in Geomatics, natural hazards and risk (31-12-2023)“…Landslides have differential characteristics in different regions. This study explores landslide susceptibility mapping (LSM) based on different evaluation…”
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Improving the model robustness of flood hazard mapping based on hyperparameter optimization of random forest
Published in Expert systems with applications (01-05-2024)“…Traditional machine learning algorithms face challenges in assessing flood susceptibility reliably due to their low robustness and the inherent 'black-box'…”
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Rockfall susceptibility mapping using XGBoost model by hybrid optimized factor screening and hyperparameter
Published in Geocarto international (13-12-2022)“…The accuracy of the evaluation model of rockfall susceptibility lies on reasonable conditioning factors and algorithm hyperparameters optimization. A rockfall…”
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Analysis of landslide deformation mechanisms and coupling effects under rainfall and reservoir water level effects
Published in Engineering geology (01-12-2024)Get full text
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Hybrid optimized RF model of seismic resilience of buildings in mountainous region based on hyperparameter tuning and SMOTE
Published in Journal of Building Engineering (15-07-2023)“…This study aims to develop hybrid-optimized random forest (RF) model of seismic physical resilience evaluation of buildings in mountainous region. Based on the…”
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