A5008100738- Infrastructure Maintenance and Monitoring
- Mass Spectrometry Techniques and Applications
- Concrete Corrosion and Durability
- Advanced Chemical Sensor Technologies
- Asphalt Pavement Performance Evaluation
- Biosensors and Analytical Detection
- Robotic Path Planning Algorithms
- Advanced Image and Video Retrieval Techniques
- Analytical Chemistry and Chromatography
- Industrial Vision Systems and Defect Detection
- Advanced Neural Network Applications
- Remote Sensing and LiDAR Applications
- Cloud Data Security Solutions
- Robotics and Sensor-Based Localization
- Automated Road and Building Extraction
- Topic Modeling
- Advanced Image Fusion Techniques
- Blockchain Technology Applications and Security
- Pharmacological Effects and Assays
- Advanced Graph Neural Networks
- Non-Destructive Testing Techniques
- Privacy-Preserving Technologies in Data
- Recommender Systems and Techniques
China Tobacco
2022-2025
University of Science and Technology of China
2023-2024
Hefei Institutes of Physical Science
2023-2024
Chinese Academy of Sciences
2023-2024
Accurate detection and timely treatment of component defects in substations is an important measure to ensure the safe operation power systems. In this study, taking substation meters as example, a dataset common meter defects, such fuzzy or damaged dial on broken housing, constructed from images manual inspection There are several challenges involved accurately detecting images, complex background, different sizes large differences shapes defects. Therefore, paper proposes PHAM-YOLO...
Visual navigation is of vital importance for autonomous mobile robots. Most existing practical perception-aware based visual methods generally require prior-constructed precise metric maps, and learning-based rely on large training to improve their generality. To the reliability navigation, in this paper, we propose a novel object-level topological method. Firstly, lightweight semantic map constructed release dependence map, where associations between objects are stored via graph memory...
<title>Abstract</title> Detecting cracks from images plays a crucial role in road maintenance. Road exhibit significant diversity and complexity terms of shape, size, texture, may contain various noises interferences such as lighting variations, shadows, different appearances due to varying perspectives scales. To address these challenges, we constructed comprehensive dataset called the Comprehensive Crack Dataset (CRCrack Dataset), which encompasses crack characteristics. In this study,...
A rapid method for determination of parabens preservatives (methyl paraben, ethyl isopropyl propyl isobutyl and butyl paraben) in flavors was established by using supercritical fluid chromatography-tandem mass spectrometry combined with dispersive solid-phase extraction. After adding methanol primary secondary amine to the sample simultaneously, high extraction efficiency good cleanup could be obtained simple shaking. Parabens were well separated on a Chiralpak IG-3 column 6 min gradient...
Detecting cracks from optical images plays a crucial role in road maintenance but its good realisation has many challenges. Road exhibit significant diversity and complexity terms of shape, size texture may contain various types noise interference, such as lighting variations, shadows different appearances, due to varying perspectives scales. To address these challenges, comprehensive crack dataset called CRCrack been constructed, which encompasses characteristics. This study proposes...