Shuhong Qin
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View article: Analysis of Factors Influencing Immunological Failure in Elderly People Living with HIV Undergoing Antiretroviral Therapy: A LASSO-Logistic Regression Approach
Analysis of Factors Influencing Immunological Failure in Elderly People Living with HIV Undergoing Antiretroviral Therapy: A LASSO-Logistic Regression Approach Open
This study aimed to identify key predictors of immunological failure in elderly patients with HIV receiving antiretroviral therapy (ART) through machine learning approaches. We conducted a retrospective analysis of 490 elderly patients wit…
View article: Analyzing the Prevalence of Depression and Its Influencing Factors in Elderly Patients With Obstructive Sleep Apnea: A Machine Learning Approach
Analyzing the Prevalence of Depression and Its Influencing Factors in Elderly Patients With Obstructive Sleep Apnea: A Machine Learning Approach Open
Objective: Depressive symptoms are prevalent and detrimental in elderly patients with obstructive sleep apnea (OSA). Understanding the factors influencing these symptoms is crucial. This study aims to use machine learning algorithms to ide…
View article: Development and verification of a machine learning-driven predictive model for cognitive impairment in Age-related Hearing Loss
Development and verification of a machine learning-driven predictive model for cognitive impairment in Age-related Hearing Loss Open
Objective: The objective is to utilize machine learning algorithms to create a predictive model for cognitive impairment in age-relate hearing loss. Methods:For this study, we gathered demographic information, conducted audiometric examina…
View article: Development of a Machine Learning Algorithm to Forecast the Likelihood of Postoperative Neurological Complications in Patients With Parotid Tumors
Development of a Machine Learning Algorithm to Forecast the Likelihood of Postoperative Neurological Complications in Patients With Parotid Tumors Open
Objective: The objective of this study was to create and verify a machine learning-driven predictive model to forecast the likelihood of facial nerve impairment in patients with parotid tumors following surgery. Methods: We retrospectively…
View article: Enhancing Landsat image based aboveground biomass estimation of black locust with scale bias-corrected LiDAR AGB map and stratified sampling
Enhancing Landsat image based aboveground biomass estimation of black locust with scale bias-corrected LiDAR AGB map and stratified sampling Open
There is a growing interest in leveraging LiDAR-generated forest Aboveground Biomass (LG-AGB) data as a reference to retrieve AGB from satellite observations. However, the biases arising from the upscaling process and the impact of the sam…
View article: Convolutional Neural Networks Regression Model with Uncertainty Estimates to predict GEDI Canopy height at 30m resolution using multisource SAR and optical observations
Convolutional Neural Networks Regression Model with Uncertainty Estimates to predict GEDI Canopy height at 30m resolution using multisource SAR and optical observations Open
Accurate estimates of forest aboveground biomass (AGB) are essential for assessing forest carbon stocks and their change over time to support policies for climate change mitigation, resource management, and biodiversity conservation. Among…
View article: Direct upscaling of national forest inventory aboveground biomass of Canada with Sentinel and ALOS PALSAR observations
Direct upscaling of national forest inventory aboveground biomass of Canada with Sentinel and ALOS PALSAR observations Open
This study aims at mapping wall-to-wall forest aboveground biomass (AGB) of Canada by directly upscaling the national forest inventory (NFI) plot measurements with machine learning method and satellite observations. We used the geolocated …
View article: Analysis of Urban Vitality in Nanjing Based on a Plot Boundary-Based Neural Network Weighted Regression Model
Analysis of Urban Vitality in Nanjing Based on a Plot Boundary-Based Neural Network Weighted Regression Model Open
As a representative indicator for the level and sustainability of urban development, urban vitality has been widely used to assess the quality of urban development. However, urban vitality is too blurry to be accurately quantified and is o…
View article: Health assessment of plantations based on LiDAR canopy spatial structure parameters
Health assessment of plantations based on LiDAR canopy spatial structure parameters Open
The Yellow River Delta (YRD) has China's largest artificial Robinia pseudoacacia forest, which was planted in the late 1970s and suffered extensive dieback in the 1990s. The health grade of the R.pseudoacacia forest (named canopy vigor gra…
View article: Building-Level Urban Functional Area Identification Based on Multi-Attribute Aggregated Data from Cell Phones—A Method Combining Multidimensional Time Series with a SOM Neural Network
Building-Level Urban Functional Area Identification Based on Multi-Attribute Aggregated Data from Cell Phones—A Method Combining Multidimensional Time Series with a SOM Neural Network Open
Portraying functional urban areas provides useful insights for understanding complex urban systems and formulating rational urban plans. Mobile phone user trajectory data are often used to infer the individual activity patterns of people a…
View article: A Pseudo-SBAS Method To Invert 2D Deformations of The 2021 Central Greece Earthquake Sequence Using Multi-Track And Multi-Temporal Sentinel-1 SAR Data
A Pseudo-SBAS Method To Invert 2D Deformations of The 2021 Central Greece Earthquake Sequence Using Multi-Track And Multi-Temporal Sentinel-1 SAR Data Open
Multi-track InSAR data have been widely applied to decompose 2D (East-West and Up-Down) co-seismic deformation in order to intuitively interpret the co-seismic deformation. Most of the previous efforts well studied the decomposition of sin…
View article: Go Extra Miles: An Additional Error Correction Procedure Aimed to Further Improve Phase Unwrapping Accuracy and Reduce Creep Model Uncertainty
Go Extra Miles: An Additional Error Correction Procedure Aimed to Further Improve Phase Unwrapping Accuracy and Reduce Creep Model Uncertainty Open
Earth and Space Science Open Archive This work has been accepted for publication in Journal of Geophysical Research - Solid Earth. Version of RecordESSOAr is a venue for early communication or feedback before peer review. Data may be preli…
View article: Mapping Essential Urban Land Use Categories in Nanjing by Integrating Multi-Source Big Data
Mapping Essential Urban Land Use Categories in Nanjing by Integrating Multi-Source Big Data Open
High-spatial-resolution (HSR) urban land use maps are very important for urban planning, traffic management, and environmental monitoring. The rapid urbanization in China has led to dramatic urban land use changes, however, so far, there a…