A5100606679- Mineral Processing and Grinding
- Minerals Flotation and Separation Techniques
- Advanced Computational Techniques and Applications
- Fault Detection and Control Systems
- Connexins and lens biology
- Industrial Vision Systems and Defect Detection
- Image Retrieval and Classification Techniques
- Spectroscopy and Chemometric Analyses
- Software Engineering Research
- Tea Polyphenols and Effects
- Metallurgy and Material Forming
- Phytochemicals and Antioxidant Activities
- Machine Fault Diagnosis Techniques
- Tannin, Tannase and Anticancer Activities
- Advanced Sensor and Control Systems
- Cardiac Structural Anomalies and Repair
- Seismic Imaging and Inversion Techniques
- Water Quality Monitoring and Analysis
- Advanced Image and Video Retrieval Techniques
- Medical Image Segmentation Techniques
- Neural Networks and Applications
- Advanced Control Systems Optimization
- Hydrocarbon exploration and reservoir analysis
- Advanced Neural Network Applications
- Flood Risk Assessment and Management
Hunan Normal University
2016-2025
Changsha Normal University
2015-2025
Fourth People's Hospital of Sichuan Province
2025
Chinese Academy of Medical Sciences & Peking Union Medical College
2025
Zhongnan Hospital of Wuhan University
2023-2024
Wuhan University
2023-2024
Crown Bioscience (China)
2016-2024
Bohai University
2012-2024
Harbin Medical University
2024
Beijing Friendship Hospital
2022-2023
Unsupervised models do not require the defect data to build prediction and hence incur a low building cost gain wide application range. Consequently, it would be more desirable for practitioners apply unsupervised in effort-aware just-in-time (JIT) if they can predict defect-inducing changes well. However, little is currently known on their effectiveness this context. We aim investigate predictive power of simple JIT prediction, especially compared with state-of-the-art supervised recent...
Abstract Path‐tracking and lane‐keeping efficiency of driverless cars remain critical characteristics the efficient safe deployment such vehicles in future intelligent transportation systems. This study introduces a robust type‐3 (T3) fuzzy controller implementation for path‐tracking task during driving conditions subject to exogenous disturbances. Unlike many existing control paradigms, proposed scheme is independent parameter information assumes system dynamics are unknown non‐linear....
The ocular lens is the only organ that does not develop spontaneous tumor. molecular mechanism for this phenomenon remains unknown. Through examination of signaling pathways mediating stress-induced apoptosis, here we presented evidence to show different from most other tissues in which extracellular signal-regulated kinases (ERKs) pathway generally implicated mediation survival signals activated by factors, RAF/MEK/ERK alone plays a key role stress-activated apoptosis epithelial cells....
Elastography ultrasound (EUS) imaging is a vital modality. The current use of EUS faces many challenges, such as vulnerability to subjective manipulation, echo signal attenuation, and unknown risks elastic pressure in certain delicate tissues. hardware requirement also hinders the trend miniaturization equipment. Here we show cost-efficient solution by designing deep neural network synthesize virtual (V-EUS) from conventional B-mode images. A total 4580 breast tumor cases were collected 15...
The benzoxazine monomer synthesis via 1,3,5-trialkyl(aryl)hexahydro-1,3,5-triazine intermediate is followed by 1H NMR, FT-IR, and SEC. A model compound, 1,3,5-triphenylhexahydro-1,3,5-triazine, synthesized independently its reaction with bisphenol-A paraformaldehyde in stoichiometric amounts also NMR. Additional compounds, 1,3,5-trimethyl(ethyl)hexahydro-1,3,5-triazine, are used instead of a primary amine to synthesize bifunctional monomers,...
T helper 17 cells and interleukin-17A have been implicated in the progression of abdominal aortic aneurysm (AAA). Retinoic acid-related orphan receptor gamma thymus, master transcription factor cell differentiation, is selectively antagonized by digoxin. However, effect antagonizing retinoic thymus on AAA has not investigated.We used human sample analysis 2 different experimental models: (a) Angiotensin II (Ang II)-induced ApoE(-/-) male mice II/APOE model) (b) porcine pancreatic elastase...
Froth color can be referred to as a direct and instant indicator the key flotation production index, for example, concentrate grade. However, it is intractable measure froth robustly due adverse interference of time-varying uncontrollable multisource illuminations in process monitoring. In this article, we proposed an illumination-invariant measuring method by solving structure-preserved image-to-image translation task via introduced Wasserstein distance-based structure-preserving CycleGAN,...
Background: An increasing research effort has devoted to just-in-time (JIT) defect prediction. A recent study by Yang et al. at FSE'16 leveraged individual change metrics build unsupervised JIT prediction model. They found that many models performed similarly or better than the state-of-the-art supervised in effort-aware Goal: In al.'s study, code churn (i.e. size of a change) was neglected when building models. this we aim investigate effectiveness based model Methods: Consistent with work,...
This article proposes an online bubble size distribution (BSD) monitoring scheme by incorporating a multiscale-deblurring full convolutional network (FulConNet) (MsD) and multistage jumping feature-fused FulConNet (MsJ), having the potential of identification health state flotation process operations. MsD can restore blurry froth images from any complex foggy motion-blurred scene due to air-water fogs, camera vibrations, high-speed flows. MsJ is proposed segment accurately various with fully...
Although most of the early research studies on fractional-order systems were based Caputo or Riemann–Liouville derivatives, it has recently been proven that these methods have some drawbacks. For instance, kernels a singularity occurs at endpoint an interval definition. Thus, to overcome this issue, several new definitions fractional derivatives introduced. The Caputo–Fabrizio order is one nonsingular definitions. This paper concerned with analyses and design optimal control strategy for...
This article proposes a robust end-to-end deep learning-induced fault recognition scheme by stacking multiple sparse-denoising autoencoders with Softmax classifier, called stacked spare-denoising autoencoder (SSDAE)-Softmax, for the identification of complex industrial processes (CIPs). Specifically, sparse denoising (SDAE) is established integrating AE (SAE) (DAE) low-dimensional but intrinsic feature representation CIP monitoring data (CIPMD) possible noise contamination. SSDAE-Softmax...
Due to technical or economic limitations, timely measuring quality-relevant key performance indicators (KPIs) of complex industrial processes (CIPs), especially the chemical composition-related indexes, is intractable. Process monitoring image sequences (PMISs) usually involve significant information about operation states and KPIs. Thus, soft sensor-based online KPI inference by incorporating process variables (TPMVs) PMISs more promising. However, extremely inconsistent sampling rates with...
Objective The purpose of this study is to detect the hemodynamic changes microvessels in early stage diabetic kidney disease (DKD) and test feasibility ultrasound localization microscopy (ULM) diagnosis DKD. Methods In study, streptozotocin (STZ) induced DKD rat model was used. Normal rats served as control group. Conventional ultrasound, contrast‐enhanced (CEUS), ULM data were collected analyzed. cortex divided into four segments, which are 0.25–0.5 mm (Segment 1), 0.5–0.75 2), 0.75–1 3),...