A5101484751- Stability and Controllability of Differential Equations
- Advanced Battery Technologies Research
- Mathematical and Theoretical Epidemiology and Ecology Models
- Advanced Mathematical Modeling in Engineering
- Advanced battery technologies research
- Wireless Signal Modulation Classification
- Advancements in Battery Materials
- Advanced SAR Imaging Techniques
- Quantum chaos and dynamical systems
- Advanced Battery Materials and Technologies
- Domain Adaptation and Few-Shot Learning
- Advanced Mathematical Physics Problems
- Optimization and Variational Analysis
- Heat Transfer Mechanisms
- NMR spectroscopy and applications
- SARS-CoV-2 detection and testing
- Antenna Design and Optimization
- Advanced Differential Equations and Dynamical Systems
- Supercapacitor Materials and Fabrication
- Engineering Applied Research
- Nonlinear Differential Equations Analysis
- Machine Learning and ELM
- Non-Destructive Testing Techniques
- Heat Transfer and Optimization
- COVID-19 Clinical Research Studies
Xi’an Jiaotong-Liverpool University
2018-2025
Xidian University
2023-2024
Chongqing Jiaotong University
2023-2024
Xi’an University
2024
University of Electronic Science and Technology of China
2023
Shenzhen University
2023
It is difficult to realize effective synthetic aperture radar (SAR) automatic target recognition (ATR) in open scenarios because the ATR model cannot continuously learn from new classes with limited training samples. When adding previously trained model, capability of recognizing old may lose due severe overfitting. To tackle this problem, a few-shot class-incremental SAR method, namely, hierarchical embedding and incremental evolutionary network (HEIEN), proposed article. First, hybrid...
Real-time pattern synthesis for large-scale conformal arrays has long been a challenging task. Two efficient methods in real-time way are, respectively, proposed this article, including the cubic spline interpolation (CSI)-based method and generalized regression neural network (GRNN)-based method. The purpose of is to find set amplitude excitations that yields maximize directivity at given scanning angle with desired low sidelobe level (SLL). problem first transformed into convex (CVX),...
Abstract Automatic modulation recognition (AMR) is a crucial technology in the domain of electronic reconnaissance. Benefiting from powerful feature extraction ability deep neural networks, AMR algorithms based on supervised learning usually achieve pleasant performance. However, noncooperative scenarios, high-quality and reliable labels are difficult to obtain. Therefore, this paper proposes novel unsupervised framework for called Multi-representation Attentive Contrastive (MAC). Carefully...
Automatic modulation recognition(AMR) is a key technology in the field of electronic reconnaissance. Benefiting from powerful feature extraction ability deep neural networks, AMR algorithm based on supervised learning usually achieves pleasant performance. However, non-cooperative scenarios high-quality and reliable labels are difficult to obtain. Therefore, In this article, novel unsupervised automatic recognition method multi-domain representation contrastive (MRC-based UAMR) proposed. By...
We study the planar front solution for a class of reaction diffusion equations in multidimensional space case when essential spectrum linearization direction touches imaginary axis. At linear level, is stabilized by using an exponential weight. A priori estimates nonlinear terms equation governing evolution perturbations are obtained belong to intersection exponentially weighted with original without These then used show that norm, initially small remain bounded, while they algebraically decay time.
We establish the existence of a stable foliation in vicinity traveling front solution for systems reaction diffusion equations one space dimension that arise study chemical reactions models and solid fuel combustion. In this way we complement orbital stability results from earlier papers by A. Ghazaryan, S. Schecter Y. Latushkin. The essential spectrum differential operator obtained linearization at touches imaginary axis. spaces with exponential weights, can shift to left. nonlinear...
We prove that the steady states of a class multidimensional reaction–diffusion systems are asymptotically stable at intersection unweighted space and exponentially weighted Sobolev spaces, paying particular attention to special case, namely, equations arise in combustion theory. The steady-state solutions considered here end planar fronts associated with these systems. present work can be seen as complement previous results on stability fronts.
We study the planar front solution for a class of reaction diffusion equations in multidimensional space case when essential spectrum linearization direction touches imaginary axis. At linear level, is stabilized by using an exponential weight. A-priori estimates nonlinear terms equation governing evolution perturbations are obtained belong to intersection exponentially weighted with original without These then used show that norm, initially small remain bounded, while they algebraically decay time.
The supremum for a set in multi-dimensional, Dedikind complete topological space is defined. example given to illustrate that the condition of Dedilind necessary existence supremum.
We prove that the steady state of a class multidimensional reaction-diffusion systems is asymptotically stable at intersection unweighted space and exponentially weighted Sobolev spaces, pay particular attention to special case, namely, equations arise in combustion theory. The steady-state solutions considered here are end states traveling fronts associated with systems, thus present results complement recent papers \cite{GLS1, GLS2, GLS3, GLSR, GLY} study stability fronts.
We prove that the stationary solution of a class reaction-diffusion systems is stable in intersection Sobolev space 1 (ℝ) and an exponentially weighted (ℝ).Particular attention given to special case, combustion model.The considered here end state traveling front associated with system, thus present result complements recent work by A. Ghazaryan, Y. Latushkin S. Schecter, where stability fronts was investigated.
This research will focus on studying the effect of aperture size and shape micro-channel heat sink dissipation performance for chip cooling. The is considered to be a porous medium with fluid subject inter-facial convection. Derivation based energy equation gives set governing partial differential equations describing transfer through micro-channels. Numerical simulation, including steady-state thermal analysis CFD software, used create finite element solver tackle derived properly defined...