A5101427248- Advanced Algorithms and Applications
- Epilepsy research and treatment
- Advanced Image Fusion Techniques
- Remote-Sensing Image Classification
- Microgrid Control and Optimization
- Power Systems and Renewable Energy
- Radiomics and Machine Learning in Medical Imaging
- Advanced Sensor and Control Systems
- Remote Sensing and Land Use
- Fault Detection and Control Systems
- Liver Disease and Transplantation
- Advanced MRI Techniques and Applications
- Image and Signal Denoising Methods
- Multilevel Inverters and Converters
- Industrial Technology and Control Systems
- Glioma Diagnosis and Treatment
- Pharmacological Effects and Toxicity Studies
- Functional Brain Connectivity Studies
- Infrared Target Detection Methodologies
- Advanced DC-DC Converters
- Textile materials and evaluations
- Industrial Vision Systems and Defect Detection
- Brain Tumor Detection and Classification
- Neurological Disease Mechanisms and Treatments
- Fuel Cells and Related Materials
Shanghai University of Electric Power
2009-2025
Ningxia Medical University
2021-2025
Southeast University
2025
Zhongda Hospital Southeast University
2024
Chengdu University of Traditional Chinese Medicine
2008-2022
Nanjing University
2021
Chengdu University
2018
Shanghai University
2009-2014
Hubei University of Science and Technology
2010
PowerChina (China)
2009
To address the power oscillation problem due to introduction of inertia and damping, this paper proposes a new deep reinforcement learning algorithm based on SD3 (Softmax Deep Double Deterministic policy gradients) for grid configuration inverter control strategy compensate loss damping in grid. Virtual synchronous generator control, as typical technique, inevitably brings stability problems while providing support In paper, we first analyze nonlinear relationship between angular velocity,...
ABSTRACT In order to reduce the impact of distributed grid integration on and improve stability grid, a combined sliding mode‐prediction control strategy for grid‐configuring inverters is proposed. Virtual synchronous generator (VSG) control, as typical grid‐configuration technique, inevitably brings problems while providing inertia damping support grid. Therefore, this method designs modified mode in outer loop VSG adaptively adjust damping, introduces model prediction inner output current...
Cluster headache (CH) is often referred to as the ‘suicide headache.’ Existing research suggests that activation of trigeminal-vascular system, increased sensitivity nerve fibers, and release interaction various neuropeptides inflammatory mediators may contribute neurogenic inflammation, which serves a crucial pathophysiological basis for development CH. Additionally, some can modulate neuronal activity related pain transmission increase perception by sensitizing central nerves. This review...
To investigate the blood oxygenation level-dependent (BOLD) signal changes correlated with ictal and interictal epileptic discharges using electroencephalography-correlated functional magnetic resonance imaging (EEG-fMRI) in patients eyelid myoclonia absences (EMA) then to explore pathophysiological mechanisms of their effect on brain function.Four EMA were investigated through method EEG-fMRI. The characteristics BOLD linked under different states consciousness explored.Seven sessions...
The coronavirus disease of 2019 (COVID-19) has evolved into a worldwide pandemic. Although CT is sensitive in detecting lesions and assessing their severity, these works mainly depend on radiologists’ subjective judgment, which inefficient case large-scale outbreak. This work focuses developing CT-based radiomics model to assess whether COVID-19 patients are the early, progressive, severe, or absorption stages disease. We retrospectively analyzed images 284 patients. All were divided four...
Stroke is a fatal neurological disease, which seriously threatens human health and life. Ischemic stroke (IS) the most common type of in clinic. Its pathogenesis very complex, mainly caused by nerve damage brain blood supply disorder. Previous studies have confirmed that natural products play important roles improving disorders. Furthermore, our previous results also suggested Shenxiong Tongmai granule, clinically used herbal medicines' prescription, has good ameliorating effect on IS. In...
To observe the clinical efficacy and safety of Traditional Chinese Medicine (TCM) combined with Western (WM) in patients diabetic acute ischemic stroke.Ninety stroke were randomly divided into a treatment group control group. The 45 given standardized TCM WM. They received corresponding oral decoctions three times daily, according to their syndromes, along basic western medical treatment. non-standardized an decoction for promotion blood circulation inhibit hemostasis, regardless treatments...
Objective To evaluate the diagnostic ability of magnetic resonance imaging (MRI) based radiomics and traditional characteristics to differentiate between Ovarian sex cord-stromal tumors (SCSTs) epithelial ovarian cancers (EOCs). Methods We consecutively included a total 148 patients with 173 (81 SCSTs in 73 92 EOCs 75 patients), who were randomly divided into development testing cohorts at ratio 8:2. Radiomics features extracted from each tumor, 5-fold cross-validation was conducted for...
This paper proposes a hybrid control scheme that combines fractional-order sliding-mode (FOSMC) with radial basis function neural network adaptive damping passivity-based (RBFPBC) for modular multilevel converters (MMC) under non-ideal operating conditions. According to the passive theory, we establish Euler–Lagrange (EL) models of positive and negative sequences based on unbalanced grid. A controller satisfies energy dissipation law is designed. To enable rapid convergence system storage...
A pixel-level fusion approach is proposed to refine the resolution of urban multi-spectral images using corresponding high-resolution panchromatic images. After two are decomposed by wavelet transform, three texture features extracted from high-frequency detailed sub-images. Then a fuzzy rule used merge coefficients according features. Experimental results indicate that, comparing with traditional methods, method can efficiently preserve spectral information while improving spatial remote sensing
Impedance‐based analysis is widely used to study the grid‐connected inverter system in a weak grid. The advantage of that without knowing accurate parameters an inverter, its equivalent output impedance can be obtained by specific methods (e.g. harmonic injection method) investigate system's stability. However, using Z grid / inv represent phase margin (Pm) inaccurate. A more complete mathematical model proposed, which contains and load at point common coupling being neglected traditional...
In a nuclear power plant, the water level in Steam Generator(SG) is one of main causes that shutdown reactor, this problem has been great concern for many years as SG highly nonlinear system showing inverse response dynamics. For controlling at certain range, Adaptive Neuro-Fuzzy Inference System (ANFIS) PID controller designed. It based on adaptive Nero-Fuzzy System, using error and change rate inputs fuzzy pid. Neural network ability to self-study, so rules ANFIS can adjust adaptively...
Image in the collection, transmission and other processes, often affected to some extent, resulting noise. The purpose of image denoising is obtained from degraded noise removal, restore original image. Traditional methods can filter noise, but at same time they make details fuzzy. support vector machine based method for a good method, thus it not only wipe also retain detail. Support learning, which on statistical learning theory, this widely applied solve classification problems. This...