A5014623164- Advanced machining processes and optimization
- Advanced Surface Polishing Techniques
- Advanced Machining and Optimization Techniques
- Manufacturing Process and Optimization
- Rough Sets and Fuzzy Logic
- Spacecraft Design and Technology
- Fuzzy Logic and Control Systems
- Building Energy and Comfort Optimization
- Urban Green Space and Health
- Neural Networks and Applications
- Urban Transport and Accessibility
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Domain Adaptation and Few-Shot Learning
- Reliability and Maintenance Optimization
- Metal Forming Simulation Techniques
- Industrial Vision Systems and Defect Detection
- Advanced Measurement and Metrology Techniques
- Structural Health Monitoring Techniques
- Migration, Aging, and Tourism Studies
- Advanced Numerical Analysis Techniques
- Ultrasonics and Acoustic Wave Propagation
- Additive Manufacturing and 3D Printing Technologies
- Advanced Sensor Technologies Research
- Glycosylation and Glycoproteins Research
- Heat Transfer and Optimization
Nanjing University of Aeronautics and Astronautics
1980-2024
University College London
2023
Tianjin University
2023
Michigan Technological University
2023
Hebei Medical University
1994
Beijing Institute of Aeronautical Materials
1989
Abstract Short-term power load forecasting is conducive to the stable operation of grid and can rationally allocate resources reduce waste electric energy promote realization goal “carbon peak carbon neutral.” The current models generally have disadvantages poor accuracy long prediction time. In this paper, we propose a dung beetle optimization algorithm combined with time convolution network (DBO-TCN) model. First, use DBO optimize parameters then TCN predict results calculate evaluation...
Serum sialic acid levels were measured in 80 healthy subjects, 60 patients with benign tumors and 110 oral cancer. It was shown that these significantly elevated cancer compared to controls (p < 0.01); they higher stage III IV disease than those I II 0.01). However, no difference observed between patients. The results of this study suggest the determination may be value diagnosis cancer, but its usefulness as an adjunct clinical staging is limited.
High-resolution range profile (HRRP), characterized by its high availability and rich target structural information, has been extensively studied. However, HRRP-based recognition methods using closed datasets exhibit limitations when it comes to identifying new classes of targets. The scarcity samples for leads overfitting during the deep learning process, similarity in scattering structures different ships, combined with significant differences among same ship, contribute a level confusion...