A5072113936- Dam Engineering and Safety
- Hydraulic flow and structures
- Remote-Sensing Image Classification
- Water Systems and Optimization
- Remote Sensing and Land Use
- Structural Health Monitoring Techniques
- Remote Sensing in Agriculture
- Rock Mechanics and Modeling
- Landslides and related hazards
- Infrastructure Maintenance and Monitoring
- Advanced Decision-Making Techniques
- Hydrology and Sediment Transport Processes
- Machine Fault Diagnosis Techniques
- Advanced Sensor and Control Systems
- Geoscience and Mining Technology
- Probabilistic and Robust Engineering Design
- Robotics and Sensor-Based Localization
- Advanced Image and Video Retrieval Techniques
- 3D Surveying and Cultural Heritage
- Geotechnical Engineering and Underground Structures
- Image and Signal Denoising Methods
- Geotechnical Engineering and Analysis
- Tunneling and Rock Mechanics
- Structural Response to Dynamic Loads
- Statistical Mechanics and Entropy
Hohai University
2010-2025
Shanghai Jiao Tong University
2020-2025
Hangzhou Dianzi University
2024
Inner Mongolia University of Technology
2024
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering
2010-2022
China Three Gorges University
2020-2022
Ministry of Education of the People's Republic of China
2020
Extracting change regions from bitemporal images is crucial to urban planning, land, and resources survey. In the literature, many methods obtaining difference between remote sensing have been proposed. However, there are still some problems due complexity of conditions. order solve above-mentioned problems, we propose a novel network called PPCNET, combining patch-level pixel-level detection for images. This divided into three branches: dual structure used extract features images,...
A reservoir dam is a water conservancy project with large investment and high social economic benefits, which plays an irreplaceable role in flood control, power generation, storage, urban supply. There risk of accidents the process dams, so monitoring important means to achieve safe operation reservoirs. In this paper, taking advantage high-dimensional nonlinear characteristics data samples, fusion-improved ABC (artificial bee colony) algorithm introduced, SVM (support vector machine) used...
Accurate and reliable prediction of dam deformation (DD) is great significance to the safe stable operation dams. In order deal with fluctuation characteristics in DD for more accurate results, a new hybrid model based on decomposition-ensemble named VMD-SE-ER-PACF-ELM proposed. First, time series data are decomposed into subsequences different frequencies an error sequence (ER) by variational mode decomposition (VMD), then secondary method introduced ER. these two processes, sample entropy...
Comprehensive evaluation of dams in a dynamic and proactive way is accepted as an effective strategy to improve dam safety. However, there lack efficient standardised approaches for managing monitoring-related information that can help provide reliable continuous evaluation. With the importance digital twins (DTs) being proven better data integration interoperability, DT-based approach comprehensive its method based on extended industry foundation classes (IFC) are provided this study. This...
Traditional crop classification methods have three critical limitations: (1) dependency on labor-intensive field surveys with limited spatial coverage, (2) susceptibility to human subjectivity during manual data collection, and (3) the inability capture fine-grained spectral variations due lack of multispectral analysis. This research introduces an enhanced identification model based a residual ResNet network. leverages remote sensing images from unmanned aerial vehicles (UAVs) accurately...
Affected by external environmental factors and evolution of dam performance, seepage behavior shows nonlinear time-varying characteristics. In this study, to predict evaluate the long-term development trend short-term fluctuation behavior, two monitoring models were developed, one for base flow effect daily variation elements. first model, avoid influence time lag on evaluation with component elements, values element reservoir water level extracted using wavelet multi-resolution analysis...
A back analysis method based on multioutput least-squares support vector regression machine (MLSSVR) and improved differential evolution algorithm (IDE) is proposed to estimate multiple mechanical parameters of concrete dams. Based the uniform design method, representative combinations are generated. Using these combinations, calculated hydrostatic displacement component differences obtained through finite-element (FEM). The then used train MLSSVR models, with model selected by IDE. This...
Semantic segmentation labels each pixel in high-resolution remote sensing (HRRS) images with a category. To tackle the large size and complexity of HRRS images, this letter presents novel multiscale feature aggregation lightweight network (MFALNet) for semantic segmentation. Unlike standard convolution, asymmetric depth-wise separable convolution residual (ADCR) unit is used to reduce parameter makes optimized structure deeper but less complex. The proposed an encoder–decoder structure,...
Extraction of the vibration characteristics a flood discharge structure under influence intensive background noise is one main challenges in vibration-based damage identification. A novel algorithm called normalized central frequency difference spectrum proposed to improve variational mode decomposition for high-frequency filtering. To eliminate errors caused by end effect, waveform matching extension used further decomposition. However, signal still coupled low-frequency noise. Thereupon,...