A5013062422- Landslides and related hazards
- Rock Mechanics and Modeling
- Cryospheric studies and observations
- Dam Engineering and Safety
- Geotechnical Engineering and Analysis
- Geophysical Methods and Applications
- Seismology and Earthquake Studies
- Tree Root and Stability Studies
- Seismic Waves and Analysis
- Flood Risk Assessment and Management
- Soil and Unsaturated Flow
- Geotechnical Engineering and Underground Structures
- Structural Health Monitoring Techniques
- Ecosystem dynamics and resilience
- Earthquake Detection and Analysis
- Advanced Wireless Communication Technologies
- High-Velocity Impact and Material Behavior
- Advanced Battery Technologies Research
- UAV Applications and Optimization
- Hydrology and Sediment Transport Processes
- Soil erosion and sediment transport
- Fire effects on ecosystems
- Catalysis and Hydrodesulfurization Studies
- Machine Learning in Materials Science
- Non-Destructive Testing Techniques
Chengdu University of Technology
2016-2025
First Affiliated Hospital of Jiangxi Medical College
2025
Nanyang Technological University
2004-2024
Chongqing University
2008-2023
Chengdu University of Information Technology
2022
Zhejiang Ocean University
2018
The spatial information of rockhead is crucial for the design and construction tunneling or underground excavation. Although conventional site investigation methods (i.e. borehole drilling) could provide local engineering geological information, accurate prediction position with limited data still challenging due to its variation great uncertainties involved. With development computer science, machine learning (ML) has been proved be a promising way avoid subjective judgments by human beings...
China has a significant portion of land in landslide-prone areas, and remote sensing technologies are becoming tool choice to investigate monitor landslides. Although much progress been made with their applications China, there is no systematical summary report. Thus, we summarize Synthetic Aperture Radar (SAR), optical sensing, laser currently being used associated platforms (space-borne, air-borne, ground-based). Multi-temporal images time series SAR often detect active landslides at...
Reconfigurable intelligent surface (RIS) is a new and revolutionary technology to achieve spectrum-, energy- cost-efficient wireless networks. This paper studies the resource allocation for RIS-empowered device-to-device (D2D) communication underlaying cellular network, in which an RIS employed enhance desired signals suppress interference between paired D2D links. We maximize overall network's spectrum efficiency (SE) energy (EE), respectively, by jointly optimizing reuse indicators,...
This paper outlines the development and deployment of Geodata Modelling Management System (GEM2S) in Singapore. GEM2S offers a sophisticated web-based platform for visualising interacting with 3D geological models Beyond basic visualisation interaction, provides advanced features geodata management, including functionality to upload new borehole data AI assessment integrate geophysical results. The begins by elucidating processing procedures, which involve extracting from electronic site...
The increasing frequency of extreme climate events has posed severe challenges to China’s socio-economic development and ecological environment due geological disasters. Therefore, there is an urgent need for effective adaptive strategies enhance geo-disaster resilience. Environmental governance, as measure reduce risks from climates disasters while promoting high-quality social development, remains underexplored in terms its impact on This study innovatively constructs a resilience...
The osteogenic differentiation ability of bone marrow mesenchymal stem cells (BMSCs) is an important aspect studying osteoporosis (OP). This study aims to explore the role SYVN1 in regulating BMSCs and suggest its potential as a treatment for OP. were differentiated using induction. expression at different induction time points was analyzed by Western blot (WB). levels markers, including RUNX2, ALP, OCN, measured RT-qPCR. EdU staining colony formation assays performed evaluate impact on...
The deformation of landslides is a non-linear dynamic and complex process due to the impacts both inherent external factors. Understanding basis landslide essential prevent damage properties losses life. To forecast displacement, hybrid machine learning model proposed, in which Variational Modal Decomposition (VMD) implemented decompose measured total surface displacement into trend periodic components. Double Exponential Smoothing algorithm (DES) Extreme Learning Machine (ELM) were adopted...
Reservoir water and rainfall, leading to fluctuations groundwater levels, are the main triggering factors that induce landslides in Three Gorges area. This study investigates response mechanism of landslide deformation under reservoir rainfall variations through long-time on-site observations. To address non-stationary characteristics time-series records, joint time-frequency analysis (JTFA) is first introduced into our prediction model. model employs optimal variational mode decomposition...
High resolution (939 samples) total organic carbon content (TOC) analyses were conducted on the Shuanghe Section of ∼152.6 m in Changning area, Sichuan Basin. The sampling section was divided into two units considering distinct-different deposit environment and sediments accumulation rate. lower part (Unit 1) peer 2) with high sample spacing (0.08–0.4 m) enables identification precession cycle sedimentary sequences distinct different MTM Power spectral untuned TOC series reveals...