- Neural Networks Stability and Synchronization
- Stability and Controllability of Differential Equations
- stochastic dynamics and bifurcation
- Stochastic processes and financial applications
- Neural Networks and Applications
- Advanced Mathematical Modeling in Engineering
- Nonlinear Differential Equations Analysis
- Mathematical and Theoretical Epidemiology and Ecology Models
- Differential Equations and Numerical Methods
- Smart Grid and Power Systems
- Cooperative Communication and Network Coding
- Power System Reliability and Maintenance
- Electric Power System Optimization
- Evolution and Genetic Dynamics
- Climate Change Policy and Economics
- Random lasers and scattering media
- Neurogenesis and neuroplasticity mechanisms
- Gene Regulatory Network Analysis
- Advanced Optical Sensing Technologies
- E-commerce and Technology Innovations
- Fuzzy Systems and Optimization
- Energy, Environment, Economic Growth
- Nonlinear Dynamics and Pattern Formation
- Intellectual Capital and Performance Analysis
- Photoacoustic and Ultrasonic Imaging
Chongqing Technology and Business University
2023-2024
China Automotive Technology and Research Center
2022-2023
Shanghai University of Electric Power
2022-2023
Central South University of Forestry and Technology
2023
Central South University
2023
Hebei University of Economics and Business
2022
Xi’an University of Posts and Telecommunications
2022
University of California, Santa Barbara
2022
University of Toronto
2022
Nanjing University of Information Science and Technology
2007-2021
Non-local effects have the potential to radically move forward quantum enhanced imaging provide an advantage over classical not only in laboratory environments but practical implementation. In this work, we demonstrate a 43dB higher signal-to-noise ratio (SNR) using LiDAR based on time-frequency entanglement compared with phase-insensitive system. Our system can tolerate more than 3 orders of magnitude noise single-photon counting systems before detector saturation dead time 25ns. To achieve...
This work is devoted to studying the application of fixed point theory stability analysis complex neural networks. We employ new method contraction mapping principle investigate impulsive cellular networks with time-varying delays. Some novel and concise sufficient conditions are presented ensure existence uniqueness a solution global exponential considered system at same time. These easily checked do not require differentiability
We firstly employ the fixed point theory to study stability of cellular neural networks without delays and with time‐varying delays. Some novel concise sufficient conditions are given ensure existence uniqueness solution asymptotic trivial equilibrium at same time. Moreover, these easily checked do not require differentiability
This work addresses the asymptotic stability for a class of impulsive cellular neural networks with time‐varying delays and reaction‐diffusion. By using integral inequality Gronwall‐Bellman type Hardy‐Sobolev as well piecewise continuous Lyapunov functions, we summarize some new concise sufficient conditions ensuring global exponential equilibrium point. The provided criteria are applicable to Dirichlet boundary condition showed be dependent on all reaction‐diffusion coefficients, dimension...
Lensless imaging based on multi-wavelength phase retrieval becomes a promising technology widely used as it has simple acquisition, miniaturized size and low-cost setup. However, measuring the sample-to-sensor distance with high accuracy, which is key for high-resolution reconstruction, still challenge. In this work, we propose criterion to realize autofocusing modulation, i.e., achieving much higher accuracy in determining distance, compared conventional methods. Three beams different...
Quantifying woody vegetation cover is essential for understanding evolution and formulating land use management policies. However, most attention has focused on the retrieval of forest attributes, it imperative to enhance capability monitor vegetation. This study proposed an adaptive stacking regressor with a self-iterative optimization module improve quantification fractional cover. The model was trained using synthetic mixing techniques 2021 Landsat composite estimate proportion in Shaanxi...
This work concerns the stability for impulsive delayed Cohen-Grossberg neural networks with reaction-diffusion terms and Dirichlet boundary condition. By means of Gronwall-Bellman-Type integral inequality Hardy-Sobolev inequality, we summarize some new diffusion-dependent sufficient conditions ensuring global exponential equilibrium point. An example is finally illustrated to demonstrate effectiveness our obtained results.
Traditional brain-computer systems are complex and expensive, emotion classification algorithms lack repre-sentations of the intrinsic relationships between different channels electroencephalogram (EEG) signals. There is still room for improvement in accuracy. To lower research barrier EEG harness rich information embedded multi-channel EEG, we propose implement a simple user-friendly system classifying four emotions: happiness, sorrow, sadness, tranquility. This utilizes fusion...
It is by means of Lyapunov method that stochastic ordinary differential equations and functional have been studied intensively. However, for reaction diffusion equations, this useful technique seems to find no way out on account the empty its own Ito's formula. To get over difficulty, we will regard integral considered trajectory with respect spatial variables as solution corresponding via employing formula under operator instead directly applying functions in case aim at establishing theory...
Under the guidance of Xi Jinping's thought on rule law, this paper takes "Youth Law Popularization Volunteers' Grassroots Tour Rule Culture" as a carrier to promote law in youth volunteer popularization activities. Thus, theory and practice socialist with Chinese characteristics has gained much popularity among residents, seen improvement authority Constitution more people respecting, learning, observing, using social governance. All these play an important role comprehensively promoting...
With the rapid development of distributed photovoltaic (PV), prediction installed scale and generation power PV plays an important role in studying impact on grid. The paper proposes a method for forecasting capacity which takes into account changes return investment (ROI) PV. Case Study Shanghai as example estimates its installation potential forecasts next few years.
In this paper, a class of neutral stochastic partial differential systems with parameter uncertainties is discussed and some useful criteria are given for exponential stability in mean square by adopting the method indirectly applying Ito formula to constructed average Lyapunov function respect spatial variables, namely, it under integral operator that employed, which far different from usual taken measures when dealing ordinary equations, wherein directly imposed on functions
Abstract In this paper, the p th moment exponential stability for a class of impulsive delayed Hopfield neural networks is investigated. Some concise algebraic criteria are provided by new method concerned with integral inequalities. Our discussion neither requires complicated Lyapunov function nor differentiability delay function. addition, we also summarize result on Finally, one example given to illustrate effectiveness obtained results.
This work concerns the stability of impulsive Cohen-Grossberg neural networks with time-varying delays, reaction-diffusion terms and Dirichlet boundary condition. By new agencies Poincare inequality Gronwall-Bellman-Type integral inequality, we summarize some concise sufficient conditions ensuring globally exponential equilibrium point. The proposed criteria depend on coefficients regional feature. In conclusion, two examples are illustrated to demonstrate effectiveness our obtained results.