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Opening the Black Box: A systematic review on explainable artificial intelligence in remote sensing
In recent years, black-box machine learning approaches have become a dominant modeling
paradigm for knowledge extraction in remote sensing. Despite the potential benefits of …
paradigm for knowledge extraction in remote sensing. Despite the potential benefits of …
Spatialized importance of key factors affecting park cooling intensity based on the park scale
Urban parks have been considered as an environmental mitigation strategy for heat island
effect, but the spatial contribution of influencing factors affecting Park Cooling Intensity (PCI) …
effect, but the spatial contribution of influencing factors affecting Park Cooling Intensity (PCI) …
Dendrogram of transparent feature importance machine learning statistics to classify associations for heart failure: A reanalysis of a retrospective cohort study of the …
Background There is a continual push for develo** accurate predictors for Intensive Care
Unit (ICU) admitted heart failure (HF) patients and in-hospital mortality. Objective The study …
Unit (ICU) admitted heart failure (HF) patients and in-hospital mortality. Objective The study …
Analysis of landslide deformation mechanisms and coupling effects under rainfall and reservoir water level effects
B Li, G Wang, LC Chen, F Sun, R Wang, MY Liao… - Engineering …, 2024 - Elsevier
Abstract Changes in rainfall, groundwater levels, and reservoir water levels exacerbate the
deformation of water-involved landslides, accelerating the transition from landslide evolution …
deformation of water-involved landslides, accelerating the transition from landslide evolution …
Exploring nonlinear and interaction effects of TOD on housing rents using XGBoost
Understanding the relationship between transit-oriented development (TOD) and housing
rents is crucial for formulating effective TOD strategies and optimizing housing market …
rents is crucial for formulating effective TOD strategies and optimizing housing market …
[HTML][HTML] Key Factors Affecting Carbon-Saving Intensity and Efficiency Based on the Structure of Green Space
Urban green spaces (UGSs) play a critical role in regulating global carbon cycling and
mitigating the increase in atmospheric CO2 concentrations. Research increasingly …
mitigating the increase in atmospheric CO2 concentrations. Research increasingly …
[HTML][HTML] Microplastic Deposit Predictions on Sandy Beaches by Geotechnologies and Machine Learning Models
Microplastics (MPs) are polymeric particles, mainly fossil-based, widely found in marine
ecosystems, linked to environmental and public health impacts due to their persistence and …
ecosystems, linked to environmental and public health impacts due to their persistence and …
[HTML][HTML] Innovative Machine Learning Approach for Distinguishing Rheumatoid Arthritis and Osteoarthritis: Integrating Shapely Additive Explanations and …
Objective: The study aimed to identify and intuitively visualize feature importance of factors
associated with osteoarthritis versus rheumatoid arthritis in a representative population of …
associated with osteoarthritis versus rheumatoid arthritis in a representative population of …
采用 XGBoost+ SHAP 揭示贵阳市地表温度的驱动力因子.
吴雪， 张显云， 龙安成， 刘晶晖… - Environmental …, 2024 - search.ebscohost.com
该文在基于数理统计方法揭示贵阳市地表温度(land surface temperature, LST)
年际和季节时空演变趋势的基础上, 为更好地明晰影响因子及其交互影响对LST 的驱动作用 …
年际和季节时空演变趋势的基础上, 为更好地明晰影响因子及其交互影响对LST 的驱动作用 …
Explore the Impact Mechanism of Urban Built Environment on Thermal Environment Based on Deep Machine Learning
In recent years, there have been numerous studies on the impact of urban morphological
characteristics on the urban thermal environment. However, the majority of these studies …
characteristics on the urban thermal environment. However, the majority of these studies …