A5101471404- Numerical methods in inverse problems
- Advanced Measurement and Detection Methods
- Optical measurement and interference techniques
- Advanced Mathematical Modeling in Engineering
- Energy, Environment, Economic Growth
- Mental Health Research Topics
- COVID-19 epidemiological studies
- Model Reduction and Neural Networks
- Advanced Numerical Methods in Computational Mathematics
- Dark Matter and Cosmic Phenomena
- Cognitive Science and Education Research
- Advanced Control Systems Design
- Genetic Associations and Epidemiology
- Optical Coatings and Gratings
- Advanced Optical Sensing Technologies
- Supply Chain and Inventory Management
- Advanced X-ray Imaging Techniques
- Particle Detector Development and Performance
- stochastic dynamics and bifurcation
- Generative Adversarial Networks and Image Synthesis
- Optical Systems and Laser Technology
- Algorithms and Data Compression
- Electromagnetic Scattering and Analysis
- Particle Accelerators and Free-Electron Lasers
- Mathematical Biology Tumor Growth
Shanghai University of Finance and Economics
2014-2024
Tsinghua University
2024
Wuhan Textile University
2024
Weifang University
2023
Donghua University
2020
University of Toledo
2020
Shandong University of Technology
2019
University of Chinese Academy of Sciences
2019
Shenzhen University
2019
Shanghai Institute of Optics and Fine Mechanics
2019
High-frequency issues have been remarkably challenges in numerical methods for partial differential equations. In this paper, a learning based method (LbNM) is proposed Helmholtz equation with high frequency. The main novelty using Tikhonov regularization to stably learn the solution operator by utilizing relevant information especially fundamental solutions. Then applying new boundary input could quickly update solution. Based on of solutions and quantitative Runge approximation, we give...
We have experimentally produced two-color electron beams with peak energies at ∼300 and ∼210 MeV based on the combination of self-injection density-gradient injection in a cascaded laser-driven wakefield accelerator. Performing all-optical Compton scattering, driving laser pulse, which was reflected by plasma mirror, can be directed to collide generated produce dual-color -rays peaking 1.07 0.59 MeV. In order get insights into experimental results, particle-in-cell simulations been performed...
Abstract A simple circuit with Arduino for determining characteristic curves of the photodiode and phototransistor is described. The experimental results show that measured I – V are consistent datasheet.
Scientific data often exhibits well-defined model mechanisms, which can be characterized by differential equations. However, existing compression algorithms face challenges in distinguishing between information that encapsulates underlying mechanisms and redundant the data. Accordingly, these struggle to accurately assess true level of meaningful precision [1] . To address this issue, we propose a method incorporates mechanism learning effective identification. By locally characterizing...
Abstract Electroencephalogram (EEG), as a tool capable of objectively recording brain electrical signals during emotional expression, has been extensively utilized. Current technology heavily relies on datasets, with its performance being limited by the size dataset and accuracy annotations. At same time, unsupervised learning contrastive methods largely depend feature distribution within thus requiring training tailored to specific datasets for optimal results. However, collection EEG is...
In this paper, we propose a novel dynamical system with time delay to describe the outbreak of 2019-nCoV in China. One typical feature epidemic is that it can spread latent period, which therefore described by process differential equations. The accumulated numbers classified populations are employed as variables, consistent official data and facilitates parameter identification. numerical methods for prediction identification provided, results show dynamic well predict trend so far. Based...
Our ability to process emotional prosody, that is the tone of a speaker, fundamental human communication and adaptive behaviours.Very early in development, vocal cues are more critical than facial expressions guiding infants' behavior.However, processing prosody very days life still far from clearly understood.It unclear whether discrimination between prosodies with different categories present at birth.Furthermore, it unknown there preferential orientation (negativity bias versus positivity...