A5044526577- Water Systems and Optimization
- Geophysical Methods and Applications
- Concrete Corrosion and Durability
- Geotechnical Engineering and Underground Structures
- Infrastructure Maintenance and Monitoring
- Structural Behavior of Reinforced Concrete
- Mechanical stress and fatigue analysis
- Microbial Applications in Construction Materials
- Image and Signal Denoising Methods
- Asphalt Pavement Performance Evaluation
- Flood Risk Assessment and Management
- Hydrological Forecasting Using AI
- Underground infrastructure and sustainability
- Corrosion Behavior and Inhibition
- Meteorological Phenomena and Simulations
- Non-Destructive Testing Techniques
- Flow Measurement and Analysis
- Blind Source Separation Techniques
- Underwater Vehicles and Communication Systems
- Advanced Neural Network Applications
- Fatigue and fracture mechanics
- Anomaly Detection Techniques and Applications
- Landslides and related hazards
- Vehicle License Plate Recognition
- Underwater Acoustics Research
Zhengzhou University
2022-2025
Yellow River Institute of Hydraulic Research
2022-2025
Henan Province Water Conservancy Survey and Design Research
2022-2024
Abstract This study synthesized polydimethylsiloxane (PDMS)‐modified polyaspartate polyurea (PPPU) with different ratios, considering the practical performance requirements of underground water supply pipeline spray repair materials. The successful synthesis PPPU was confirmed using Fourier transform infrared spectrometer (FTIR) spectroscopy. influence ratio two components and content ‐aminopropyl terminated (APT‐PDMS) on drying time tensile coatings evaluated. Based this evaluation, a...
Background:
Road pavement damage poses significant risks to driving comfort and safety. It can also contribute traffic accidents, ultimately leading losses in life property. Accurate detection of road is, therefore, crucial for maintaining safety upkeep. This paper introduces a novel methodology detecting damage, which is based on an enhanced YOLOv8 network. We implemented three pivotal enhancements: first, we substituted the backbone network with GhostNetv2, significantly reducing model’s parameter...
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