A5042774303- Traffic Prediction and Management Techniques
- Craniofacial Disorders and Treatments
- Data Management and Algorithms
- Geophysical Methods and Applications
- Human Mobility and Location-Based Analysis
- Time Series Analysis and Forecasting
- Underwater Acoustics Research
- Orthodontics and Dentofacial Orthopedics
- Underwater Vehicles and Communication Systems
- Cleft Lip and Palate Research
Nanjing University of Aeronautics and Astronautics
2024
Qingdao University
2012
Structured Abstract Objectives To differentiate a symmetric face from an asymmetric by analyzing three‐dimensional (3 D ) facial image and plotting the asymmetry index ( AI on symmetry diagram. Setting Sample Population Sixty healthy C hinese adults (30 men 30 women, mean age: 27.7 + 4.9 years old) without any craniofacial deformity were recruited voluntary basis medical center. Material Methods A 3 of each participant was captured GENEX 3D FACE CAM system. Sixteen landmarks, as defined...
Road traffic forecasting plays a critical role in smart city initiatives and has experienced significant advancements thanks to the power of deep learning capturing non-linear patterns data. However, promising results achieved on current public datasets may not be applicable practical scenarios due limitations within these datasets. First, limited sizes them reflect real-world scale networks. Second, temporal coverage is typically short, posing hurdles studying long-term acquiring sufficient...
Road traffic forecasting is crucial in real-world intelligent transportation scenarios like dispatching and path planning city management personal traveling. Spatio-temporal graph neural networks (STGNNs) stand out as the mainstream solution this task. Nevertheless, quadratic complexity of remarkable dynamic spatial modeling-based STGNNs has become bottleneck over large-scale data. From data perspective, we present a novel Transformer framework called PatchSTG to efficiently dynamically...