A5087555267- Protein Kinase Regulation and GTPase Signaling
- Cytokine Signaling Pathways and Interactions
- Fault Detection and Control Systems
- Peptidase Inhibition and Analysis
- Protease and Inhibitor Mechanisms
- Machine Fault Diagnosis Techniques
- Analytical Methods in Pharmaceuticals
- SARS-CoV-2 detection and testing
- S100 Proteins and Annexins
- Insect-Plant Interactions and Control
- Insect and Pesticide Research
- Rock Mechanics and Modeling
- Reliability and Maintenance Optimization
- Electromagnetic wave absorption materials
- Phosphodiesterase function and regulation
- Insect Resistance and Genetics
- Advanced Sensor and Control Systems
- Grouting, Rheology, and Soil Mechanics
- Landslides and related hazards
- NF-κB Signaling Pathways
- Inflammatory mediators and NSAID effects
- Cell Adhesion Molecules Research
- Oral and gingival health research
- Advanced Antenna and Metasurface Technologies
- Magnetic Bearings and Levitation Dynamics
Henan Agricultural University
2025
Sichuan University
2024
Beijing Technology and Business University
2024
Pearl River Community College
2001-2006
The exceptional performance of electromagnetic interference (EMI) shielding materials often stems from their high conductivity. However, EMI with electrical conductivity pose a risk current leakage, which is...
In next-generation aircraft, Electro-Mechanical Actuators (EMAs) are increasingly used. But the safety of EMA is not sufficient for primary flight control actuation aircraft. One effective way to improve develop Prognostics and Health Management (PHM). However, variable operation modes make it difficult implement high-performance PHM. Thus, need be recognized, but high similarity sensing data between different making challenging. a new deep-shallow fusion network with convolutional neural...
Fault diagnosis is one of the key technologies for maintaining reliability and safety space power systems. High-precision fault crucial to ensuring normal operation system. In recent years, methods based on traditional deep learning models have matured, but these problems capturing long distance dependencies in sequences are limited modeling temporal dimension. To address challenges, this paper proposes a novel method systems, namely Dual-aspect Time Series Transformer (DTST). DTST first...