A5100327746- Geochemistry and Geologic Mapping
- Remote Sensing and LiDAR Applications
- Soil Geostatistics and Mapping
- Land Use and Ecosystem Services
- Remote Sensing in Agriculture
- Rock Mechanics and Modeling
- Aquatic Ecosystems and Phytoplankton Dynamics
- Landslides and related hazards
- Aerodynamics and Fluid Dynamics Research
- 3D Surveying and Cultural Heritage
- Environmental Quality and Pollution
- Data Quality and Management
- Metal Extraction and Bioleaching
- Software Engineering Techniques and Practices
- Big Data and Business Intelligence
- Geotechnical Engineering and Analysis
- Fluid Dynamics and Vibration Analysis
- Spectroscopy and Chemometric Analyses
- Minerals Flotation and Separation Techniques
- Diagnosis and Treatment of Venous Diseases
- Ultrasound in Clinical Applications
- Hip and Femur Fractures
- Microbial Fuel Cells and Bioremediation
- Air Quality Monitoring and Forecasting
- Remote-Sensing Image Classification
Xi'an Honghui Hospital
2025
Xi'an Jiaotong University
2025
Shanghai Ocean University
2020-2025
Inner Mongolia Agricultural University
2024
Chongqing University
2024
Chinese Academy of Forestry
2024
Institute of Process Engineering
2024
Xi'an Medical University
2024
China Geological Survey
2024
Ministry of Natural Resources
2024
Digital/true orthoimage maps (D/TOMs) are one of the most important forms national spatial data infrastructure (NSDI). The traditional generation D/TOM is to orthorectify an aerial image into its upright and correct position by deleting displacements on distortions imagery. This results in generated having no building façade texture when superimposes digital model (DBM). phenomenon longer tolerated for certain applications, such as micro-climate investigation. For this reason, paper presents...
Accurate and effective accounting of grassland aboveground biomass (AGB) is essential for carbon storage pastoral agriculture sustainability. In this study, we combined AGB field survey data remote sensing to build a suitable model estimate the in Three-River Source Region (TRSR) China. Three machine learning models were used simulate from 2001 2019, including support vector (SVM), random forest (RF), high accuracy surface modeling (HASM). The results show that (1) HASM achieved better than...
Climate change is closely linked to changes in soil organic carbon (SOC) content, which affects the terrestrial cycle. Consequently, it essential for accounting and sustainable management predict SOC content accurately. Although there has been an extensive utilization of optical remote sensing data environmental factors few studies have explored their applicability karst areas. Therefore, remains unclear how can be accurately simulated these In this study, 160 samples, 8 covariates 14...
Soil organic carbon (SOC) is generally thought to act as a sink; however, in areas with high spatial heterogeneity, using single model estimate the SOC of whole study area will greatly reduce simulation accuracy. The earth surface unit division important consider building different models. Here, we divided research into habitat patches partitioning around medoids clustering (PAM) algorithm; then, built an machine learning algorithms. results showed that three were created. accuracy for...
Slope deformation monitoring is the prerequisite for disaster risk assessment and engineering control. Terrestrial laser scanning (TLS) highly applicable to this field. Coarse registration method of point cloud based on scale-invariant feature transform (SIFT) points fine k-dimensional tree (K-D tree) improved iterative closest (ICP) algorithm were proposed. The results show that they superior other algorithms (such as speeded-up robust features (SURF) points, Harris Levenberg-Marquardt (LM)...
Soil organic carbon (SOC) changes affect the land cycle and are also closely related to climate change. Visible-near infrared spectroscopy (Vis-NIRS) has proven be an effective tool in predicting soil properties. Spectral transformations necessary reduce noise ensemble learning methods can improve estimation accuracy of SOC. Yet, it is still unclear which optimal method exploiting results spectral accurately simulate SOC content Three-Rivers Source Region China. In this study, 272 samples...
In view of the inclined occurrence coal seam in Heishan open-pit mine, longitudinal exploitation process first mining area, height slope at west end is increasing, and weak interlayer production. The failure mechanism stability composite seam, which typical West are studied by means field investigation, theoretical analysis, limit equilibrium numerical simulation. factors affecting western side potential landslide mode analyzed. residual thrust method simplified Bishop were used to study two...
Subtrochanteric femur fracture (SFF) is one of the more common diseases in traumatological orthopaedics, with two types prevalent populations: young people high-energy injuries and elderly low-energy injuries. Due to special anatomical location subtalar femoral region, perioperative complications, complex underlying patients, SFF has become very challenging clinical treatment. With gradual attention many scholars this disease continuous improvement surgical techniques, there are methods for...
Dunes are the primary geomorphological type in deserts, and distribution of dune morphologies is significant importance for studying regional characteristics, formation mechanisms, evolutionary processes. Traditional morphology classification methods rely on visual interpretation by humans, which not only time-consuming inefficient but also subjective judgment. These issues have impeded intelligent development classification. However, convolutional neural network (CNN) models exhibit robust...
In order to provide a guide for plant selection of ecological restoration at antimony (Sb) mining damaged sites, species composition, importance value, niche, and interspecific associations tree, shrub, herb layers were examined Sb site in Nandan City, Guangxi, China. The results showed that 23 vascular recorded the site, belonging 22 genera 13 families, primarily Gramineae, Cyperaceae, Fabaceae, Asteraceae. highest values trees, shrubs, herbs observed
Event Causality Identification (ECI) focuses on extracting causal relations between events in texts. Existing methods for ECI primarily rely features and external knowledge. However, these approaches fall short two dimensions: (1) a text often lack explicit clues, (2) knowledge may introduce bias, while specific problems require tailored analyses. To address issues, we propose SemDI - simple effective Semantic Dependency Inquiry Network ECI. captures semantic dependencies within the context...
As the key structure of buoyancy and dynamic lift generation, float is one most important attachments fishing gear in ocean fishery. For special work environment, may deform move under hydrodynamic force when it works. At same time, motion cause impacting action from fluid structures around. Then investigation mechanical behavior significance for structural design performance optimization gear, even development The three-dimensional numerical model marine working flow field was established...
Climate change is closely linked to changes in soil organic carbon (SOC) content, which affects the terrestrial cycle. Consequently, it essential for accounting and sustainable management predict SOC content accurately. Although optical remote sensing data environmental variables have been widely used prediction, few studies explored their applicability karst areas. Therefore, remains unclear how can be accurately simulated these In this study, 160 samples, 8 covariates 14 were build...