A5077499575- Electromagnetic Compatibility and Measurements
- Electromagnetic Simulation and Numerical Methods
- Thermal Analysis in Power Transmission
- Lightning and Electromagnetic Phenomena
- Advanced Neural Network Applications
- Electromagnetic Launch and Propulsion Technology
- Scientific Computing and Data Management
- Machine Learning in Materials Science
- Induction Heating and Inverter Technology
- Pulsed Power Technology Applications
- Topic Modeling
- Electromagnetic Compatibility and Noise Suppression
- Gaze Tracking and Assistive Technology
- Magnetic confinement fusion research
- Radio Astronomy Observations and Technology
- Power Line Communications and Noise
- Electromagnetic Effects on Materials
- Advanced Measurement and Detection Methods
- Visual Attention and Saliency Detection
- Non-Destructive Testing Techniques
- Cancer-related molecular mechanisms research
- Metal and Thin Film Mechanics
- Cryptographic Implementations and Security
- Numerical methods in engineering
- Atherosclerosis and Cardiovascular Diseases
Chongqing University
2021-2025
Gannan Normal University
2025
Meizhou City People's Hospital
2024
Southwest Jiaotong University
2023
Wuhan Ship Development & Design Institute
2021
People's Hospital of Cangzhou
2012
RGB-T salient object detection (SOD) aims at utilizing the complementary cues of RGB and Thermal (T) modalities to detect segment common objects. However, on one hand, existing methods simply fuse features two without fully considering characters T. On other high computational cost prevents them from real-world applications (e.g., automatic driving, abnormal detection, person re-ID). To this end, we proposed an efficient encoder-decoder network named Context-guided Stacked Refinement Network...
Background Convolutional neural networks have excellent modeling abilities to complex large-scale datasets and been applied genomics. It requires converting genotype data image format when employing convolutional genome-wide association studies. Existing studies the into grayscale images shown promising. However, may cause loss of information data. Methods In order make full use information, we proposed a new method, color-image-based networks, by color images. Results The experiments on...
Near-field phase measurements are often difficult and very time-consuming for real applications in comparison with phaseless ones. Meanwhile, it is also challenging, global optimization or recovery algorithm implemented, to build an equivalent radiation model based on a dipole array through near-field data. The algorithms have certain problems the selections of moment limits local optimality, respectively. Here, new hybrid modeling method low-frequency characteristics proposed, which...
While Large Language Models (LLMs) demonstrate impressive capabilities in text generation, we find that their ability has yet to be generalized music, humanity's creative language. We introduce ChatMusician, an open-source LLM integrates intrinsic musical abilities. It is based on continual pre-training and finetuning LLaMA2 a text-compatible music representation, ABC notation, the treated as second ChatMusician can understand generate with pure tokenizer without any external multi-modal...
As more and new power electronics with high switching frequencies are used in power-electronic equipment on ships other platforms, the wideband radiation that gives off could affect sensitive platform. Therefore, it is crucial to accurately model characterize its properties predict field distribution near such equipment. The traditional equivalent dipole method commonly at a single frequency. It difficult apply this applications, precision of array modeling each frequency insufficient....
Background: Atherosclerosis is a systemic disease that can involve multiple vascular beds. The risk factors for atherosclerosis in beds remain unclear. Apolipoprotein E (APOE) involved inflammation and lipid deposition the process of atherosclerosis. objective this study was to investigate whether APOE polymorphisms are associated with Methods: A total 416 patients single bed 658 were included. genotypes detected differences between groups compared. Logistic regression analysis performed...
ABSTRACTThe digital twin (DT) technology facilitates the complete lifecycle management of equipment by integrating physical and virtual spaces through data mapping. Many narrative DT frameworks modeling methods have been proposed. However, heterogeneous processes applying these in different objects scenarios manufacturing restricts function promotion DT. Given that there are some existing discussions on frameworks, this paper proposes an application-oriented framework integrates information...
Unintentional as well intentional electromagnetic interference can cause and performance degradation of microwave circuits or systems. In this article, a modified multiport lumped-network finite-difference time-domain method (FDTD) based on Y-matrix is proposed, where bilinear transform used to incorporate the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">V–I</i> relation into FDTD iteration. It further for simulating transient responses...
The 12-phase rectifier circuit has been widely used in ships, subways, and other systems due to its advantages of high voltage level power capacity. As the current levels, capacity increases, leading higher levels <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">${{dv}/ {dt}}$</tex-math></inline-formula> notation="LaTeX">${{di} / , electromagnetic interference (EMI) becoming increasingly significant....
Predicting the wideband radiation of high-power interconnection cable network within system is necessary for electromagnetic compatibility design verification power electronic systems, and it urgent to accurately model analyze its characteristics. The current modeling methods, such as equivalent dipole method, have numerous constraints, making difficult effectively multi-core with connectors, transmission lines arbitrary arrangement, large-scale branches. To address this problem, paper...
Research on autonomous driving in unstructured outdoor environments is less advanced than structured urban settings due to challenges like environmental diversities and scene complexity. These environments-such as rural areas rugged terrains-pose unique obstacles that are not common areas. Despite these difficulties, crucial for applications agriculture, mining, military operations. Our survey reviews over 250 papers environments, covering offline mapping, pose estimation, perception, path...