A5026371292- Infrastructure Maintenance and Monitoring
- Neurological Disease Mechanisms and Treatments
- Traffic Prediction and Management Techniques
- Simulation and Modeling Applications
- Concrete Corrosion and Durability
- Non-Destructive Testing Techniques
- Brain Tumor Detection and Classification
- Artificial Intelligence in Healthcare
- Advanced Sensor and Control Systems
- Structural Health Monitoring Techniques
- Industrial Vision Systems and Defect Detection
Shijiazhuang Tiedao University
2024-2025
Hunan University
2024
National University of Singapore
2024
Xiamen University
2021
Regular crack detection is essential for extending the service life of bridges. However, image data collected during bridge inspections are complex to convert into physical information and construct intuitive comprehensive Three-Dimensional (3D) models incorporating information. An intelligent method surface damage based on Unmanned Aerial Vehicles (UAVs) proposed these challenges, a three-stage detection, quantification, visualization process. This enables automatic localization in 3D...
ABSTRACT Fluoroquinolones (FQs) resistance in Mycobacterium tuberculosis (MTB), primarily driven by mutations the quinolone resistance-determining region (QRDR) of gyrA , poses a major concern treating for multidrug-resistant (MDR-TB). These QRDR are known to confer varying levels resistance, leading differences treatment outcomes. Here, we introduced MeltArray MTB/FQs assay, multiplex PCR method that detected 11 -QRDR and quantified their fractions via polynomial regression algorithm-based...
Abstract As oil and gas exploration development gradually shift towards deep deep-water fields, the geological environment formation pressure conditions become increasingly complex, raising risk of drilling hazards such as kick. Failure to timely identify properly handle these issues can potentially lead blowout accidents, posing severe threats safety. Therefore, there is an urgent need enhance efficiency accuracy kick monitoring. Traditional monitoring methods are highly subjective their...