A5020605751- ECG Monitoring and Analysis
- Stability and Control of Uncertain Systems
- Control and Stability of Dynamical Systems
- Anomaly Detection Techniques and Applications
- Solar Radiation and Photovoltaics
- EEG and Brain-Computer Interfaces
- Photovoltaic System Optimization Techniques
- Phonocardiography and Auscultation Techniques
- Energy Load and Power Forecasting
- COVID-19 diagnosis using AI
- Stability and Controllability of Differential Equations
China Jiliang University
2023-2025
Anhui Normal University
2024
Hebei University of Science and Technology
2021
COVID-19 can cause acute infectious diseases of the respiratory system, and may probably lead to heart damage, which will seriously threaten human health. Electrocardiograms (ECGs) have advantages being low cost, non-invasive, radiation free, is widely used for evaluating health status. In this work, a lightweight deep learning network named GM-CBAM-ResNet proposed diagnosing based on ECG images. constructed by replacing convolution module with Ghost (GM) adding convolutional block attention...
Abstract A method for photovoltaic (PV) power interval prediction based on double sample entropy framework and integrated bidomain decomposition deep learning is proposed to address the volatility, randomness, intermittency timeliness of PV prediction. By using under entropy, time series decomposed into several components with similar complexity network used learn predict results each component reconstruction obtain point predictions. The quantile regression then actual calculation examples...
The 12-lead resting electrocardiogram (ECG) is commonly used in hospitals to assess heart health. ECG can reflect a variety of cardiac abnormalities, requiring multi-label classification. However, the diagnosis results previous studies have been imprecise. For example, some studies, abnormalities that cannot coexist often appeared diagnostic results. In this work, we explore how realize effective signals and prevent prediction arrhythmias coexist. classification method based on convolutional...
Abstract In this paper we consider the stabilization of state feedback for a class systems with time delay. At first, investigated stability on system two additive delays. Then an appropriate LKF double integral was constructed. Since linear matrix inequalities, get sufficient condition to guarantee system’s asymptotically stability. last, effectiveness proposed method is demonstrated by numerical example.