A5045470984- Landslides and related hazards
- Flood Risk Assessment and Management
- Geotechnical Engineering and Analysis
- Advanced Computational Techniques and Applications
- Fire effects on ecosystems
- Cryospheric studies and observations
- Data Management and Algorithms
- Geographic Information Systems Studies
- Geological Modeling and Analysis
- Data Mining Algorithms and Applications
- Simulation and Modeling Applications
- Advanced Database Systems and Queries
- Advanced Photocatalysis Techniques
- Remote Sensing in Agriculture
- Urban Transport and Accessibility
- Hydrology and Watershed Management Studies
- Supercapacitor Materials and Fabrication
- Human Mobility and Location-Based Analysis
- Geography Education and Pedagogy
- Spatial and Panel Data Analysis
- Microbial Fuel Cells and Bioremediation
Jiangxi University of Science and Technology
2005-2024
Northwest A&F University
2014
Landslide susceptibility assessment (LSA) is fundamental for managing landslide geological disasters. This study presents a deep learning approach (DNN-MSFM) designed to enhance LSA modeling, particularly addressing limitations caused by the unbalanced distribution of data samples in applied datasets. DNN-MSFM combines neural network (DNN) and mean squared false misclassification loss function (MSFM) handle from algorithmic perspective. The model's performance was evaluated on an dataset...
Landslide susceptibility mapping (LSM) studies provide essential information that helps various authorities in managing landslide-susceptible areas. This study aimed at applying and comparing the performance of DIvisive ANAlysis (DIANA) RObust Clustering using linKs (ROCK) algorithms for LSM Baota District, China. These methods can be applied when data has no labels there is insufficient inventory data. First, based on historical records, survey reports, previous studies, 293 landslides were...
Landslide susceptibility mapping (LSM) is a crucial step during landslide assessment and environmental management. Clustering algorithms can construct effective models for LSM. However, random selection of important parameters, inconsideration uncertain data, noise large datasets limit the implementation clustering in LSM, resulting low unreliable performance results. Thus, to address these problems, this study proposed an optimized algorithm named O-CURE, which combines: traditional Using...
GML specification provides a set of core schemas. Users can define their own application schemas flexibly by using and schema components. However, due to this flexibility, structure becomes more complicated. Furthermore, the complexity immensity spatial data, new requirements for data processing software should be proposed. Based on study GML3.21 relationship among types elements, paper presents method distinguish elements its related properties. In addition, based characteristics VTD-XML,...
Scientific and logical classification is crucial for efficient information storage, management, sharing. However, there are numerous existing systems geographical entities, the categories to which same entity belongs often different in business databases constructed according systems, brings great obstacles management sharing of information. This study analyzes complexities multiple classifications entities proposes a multi-classification model based on directed hypergraph theory. integrates...
This paper discusses the placement of Chinese annotation from point view graphics. Area Feature is classified as simple polygon, complex polygon and special polygon. For ones, annotations are placed along longest edge. firstly simplified according to close points, then diagonal gotten by comparing length, lastly, long-diagonal. partitioned into several parts a certain rule for getting their sub-diagonals, means second.
Based on the study of XML documents storage in Oracle DB, this paper conducts a research extending DB to store and manage GML documents. Meanwhile, owing defects that cannot support spatial index, an external R-Tree index is added database improve efficiency query operation. At same time, with help NTS as well Oracle's own XQuery, extension XQuery proposed implemented. Through paper, we provide solution for storage, query.
Wellness industry comes into being with the development of Chinese economy and change civil consuming attitudes. Demand for health becomes extremely urgent so that wellness behavior has been an important part people's daily life. Therefore, it is significant to study temporal spatial character which will help promote industry. Based on multi-source big data including Point Interest (POI) from Amap, Tencent's Location Big Data road network OpenStreetMap, we analyze distribution POIs Density...
Abstract Landslide susceptibility mapping (LSM) is one of the crucial steps in managing and mitigating landslides. This study targets at developing a new LSM model for Baota District China, using clustering method namely CIBD-CURE, which combines city block distance (CIBD) traditional representatives (CURE) algorithm. It aims addressing limitations inability to identify clusters (subclasses) with arbitrary shapes varying sizes, sensitivity noise, perform well large areas dataset process...