A5101841299- Adaptive Control of Nonlinear Systems
- Iterative Learning Control Systems
- AI in cancer detection
- Radiomics and Machine Learning in Medical Imaging
- Distributed Control Multi-Agent Systems
- COVID-19 diagnosis using AI
- Advanced Control Systems Optimization
- Medical Image Segmentation Techniques
- Guidance and Control Systems
- Image Processing Techniques and Applications
- Piezoelectric Actuators and Control
- Control Systems in Engineering
- Image Retrieval and Classification Techniques
- Magnetic Bearings and Levitation Dynamics
- Stability and Control of Uncertain Systems
- Biometric Identification and Security
- Advanced Measurement and Detection Methods
- Control and Dynamics of Mobile Robots
- Hand Gesture Recognition Systems
- Reservoir Engineering and Simulation Methods
- Advanced Vision and Imaging
- Power Line Inspection Robots
- Extremum Seeking Control Systems
- Brain Tumor Detection and Classification
- Computational Fluid Dynamics and Aerodynamics
Beijing Jiaotong University
2015-2025
Hunan Normal University
2008-2024
Guizhou Electric Power Design and Research Institute
2024
PowerChina (China)
2024
Beijing University of Posts and Telecommunications
2022-2024
Changsha Normal University
2021-2024
Central South University
2010-2024
Harbin University of Commerce
2023-2024
Third Xiangya Hospital
2022-2024
Daqing Oilfield General Hospital
2024
The segmentation of glioma by computer vision is one the hot topics in medical image analysis, which further helps doctors to make a better treatment plan for glioma. At present, convolutional neural networks (CNN) with multi-kernels are mainstream method identify regions. However, strongly affected if intensity dissimilarity between adjacent regions small. To solve this challenge, we propose an attention-based multimodal multi-attention layers small-intensity focus on Firstly, reduce...
Developing new energy vehicles is vital to promote green development and the harmonious coexistence of humans nature. It also only way help China move from a significant automobile country powerful country. Based on background "recession" government subsidies considering importance credit in promoting low-carbon transformation, this paper constructs four-party evolutionary game model that includes government, automotive companies, banks, consumers analyze stability strategic choices various...
In this article, a filter-based control scheme is developed for Euler–Lagrange systems with unknown parameter and external disturbance. Two controllers are proposed under the filtering framework, namely adaptive controller disturbance observer-based controller, respectively. A set of low-pass filters employed in design to derive useful filter outputs, which can provide freedom estimator or observer. For certainty equivalent law designed such way that dominates cross term between estimation...
Prenatal karyotype diagnosis is important to determine if the foetus has genetic diseases and some congenital diseases. Chromosome classification an part of analysis, task tedious lengthy. methods based on deep learning have achieved good results, but quality chromosome image not high, these cannot learn features well, resulting in unsatisfactory results. Moreover, existing generally a poor effect sex classification. Therefore, this work, authors propose use super-resolution network,...
Grape seed proanthocyanidin extract (GSPE) has been extensively reported to possess a wide range of beneficial properties in multiple tissue damage. Previous studies have shown that exhaustive exercise-induced fatigue associates with oxidative stress injury, inflammatory response, and mitochondrial dysfunction.The aim this study is investigate the anti-fatigue effects GSPE mice explore its possible underlying mechanism.The mouse model was established by using forced swimming test, orally...
With the continuous improvement of human living standards, dietary habits are constantly changing, which brings various bowel problems. Among them, morbidity and mortality rates colorectal cancer have maintained a significant upward trend. In recent years, application deep learning in medical field has become increasingly spread aboard deep. colonoscopy, Artificial Intelligence based on is mainly used to assist detection polyps classification lesions. But when it comes classification, can...
This study addresses the completely distributed consensus control problem for heterogeneous nonlinear multi-agent system (MAS) with disturbances under switching topology. First, a global sliding mode manifold (GSMM) is designed overall MAS dynamic, which maintains stability without oscillations during topology after achieving mode. Subsequently, protocol (SMCP) proposed, adopting common (SMC) format and ensuring finite-time reachability of GSMM switching. Finally, proposed SMCP are applied...
ABSTRACT In this paper, we investigate the stabilization problem of a class uncertain nonlinear cyber‐physical systems (CPSs) under random denial‐of‐service (DoS) attacks with average frequency and duration constraints. This investigation presents rapid exponential stabilization‐based robust adaptive control (RESRAC) scheme corresponding update trigger strategy to improve robustness CPSs against DoS attacks. As result, system stability can be guaranteed nearly arbitrary intensity as long...
Abstract The onset and progression of atherosclerosis are closely linked to the involvement macrophages. While contribution NLRP3 inflammasome activation creation a local highly inflammatory microenvironment is well recognized, precise triggers remain unclear. In this study, we aimed investigate regulatory mechanism in response hypoxia‐induced glycolysis involving PFKFB3 development atherosclerosis. To develop an model, selected ApoE knockout mice treated with high‐fat western diet. We then...
With the rapid development of Artificial Intelligence (AI), deep learning has increasingly become a research hotspot in various fields, such as medical image classification. Traditional models use Bilinear Interpolation when processing classification tasks multi-size dataset, which will cause loss information image, and then affect effect. In response to this problem, work proposes solution for an adaptive size model. First, according characteristics optimal set module is proposed...
An algorithm for dorsal hand vein pattern recognition is presented in the paper. To improve ratio, skeleton extracting with little distortion very important. Firstly, acquires a clean, one-pixel-width after series of processes: size and gray normalizing, Gaussian lowpass median filtering, NiBlack local dynamic thresholding segmenting, area thresholding, morphological opening closing, conditional thinning, spurs pruning. Then, seven corrected moment invariants are extracted as feature vector....
Abstract The global outbreak of COVID-19 has become an important research topic in healthcare since 2019. RT-PCR is the main method for detecting COVID-19, but long detection time a problem. Therefore, pathological study with CT image supplement to RT-RCT. current TVLoss based segmentation promotes connectivity diseased areas. However, normal pixels between some adjacent areas are wrongly identified as pixels. In addition, proportion images small, and traditional BCE U-shaped network only...
Deformation prediction for a salt solution mining area is essential to environmental protection. The combination of Synthetic Aperture Radar Interferometry (InSAR) technique with Probability Integral Method (PIM) has proven be powerful in predicting mining-induced subsidence. However, traditional mathematical empirical models (such as linear model or combined periodical function) are mostly used InSAR approaches, ignoring the underground mechanisms, which may limit accuracy retrieved...