A5011513618- Ocean Waves and Remote Sensing
- Stuttering Research and Treatment
- Air Quality and Health Impacts
- Atmospheric chemistry and aerosols
- Voice and Speech Disorders
- Speech Recognition and Synthesis
- Precipitation Measurement and Analysis
- Soil Moisture and Remote Sensing
- Vehicle emissions and performance
- Nuclear Materials and Properties
- Air Quality Monitoring and Forecasting
- Molten salt chemistry and electrochemical processes
- Fusion materials and technologies
- Tropical and Extratropical Cyclones Research
- Oceanographic and Atmospheric Processes
Wuhan University
2018-2025
Beijing Institute of Technology
2023-2024
Kunming University of Science and Technology
2024
Chinese Institute for Brain Research
2023
National Clinical Research
2023
Capital Medical University
2023
Ocean surface winds play an essential role in regulating the earth's weather and climate, Cyclone GNSS (CYGNSS) mission launched 2016 is designed specially to monitor ocean wind speed. In this study, innovative model developed based on a deep learning method retrieve speed by making full use of spatiotemporal information CYGNSS observations. The proposed named CNN-LSTM established two modules, i.e., Convolution Neural Network (CNN) module that extracts spatial features around Specular Point...
Abstract Objective Major depressive disorder (MDD) and bipolar (BD) are serious chronic disabling mental emotional disorders, with symptoms that often manifest atypically in children adolescents, making diagnosis difficult without objective physiological indicators. Therefore, we aimed to objectively identify MDD BD adolescents by exploring their voiceprint features. Methods This study included a total of 150 participants, 50 patients, healthy controls aged between 6 16 years. After...
Abstract Objective: Major depressive disorder (MDD) and bipolar (BD) are serious chronic disabling mental emotional disorders, with symptoms that often manifest atypically in children adolescents, making diagnosis difficult without objective physiological indicators. Therefore, we aimed to objectively identify MDD BD adolescents by exploring their voiceprint features. Methods: This study included a total of 150 participants, 50 patients, healthy controls aged between 6 16 years. After...