A5101662798- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Particle Detector Development and Performance
- Quantum Chromodynamics and Particle Interactions
- Mathematical and Theoretical Epidemiology and Ecology Models
- Mathematical Biology Tumor Growth
- Dark Matter and Cosmic Phenomena
- Distributed and Parallel Computing Systems
- Nonlinear Differential Equations Analysis
- Cosmology and Gravitation Theories
- Parasitic infections in humans and animals
- Advanced Differential Equations and Dynamical Systems
- Nonlinear Dynamics and Pattern Formation
- Quantum chaos and dynamical systems
- Viral gastroenteritis research and epidemiology
- Congenital Anomalies and Fetal Surgery
- Stochastic Gradient Optimization Techniques
- Photovoltaic System Optimization Techniques
- Plant and Fungal Interactions Research
- Fire effects on ecosystems
- Economic theories and models
- Lipid metabolism and biosynthesis
- Radiation Detection and Scintillator Technologies
- Multimodal Machine Learning Applications
- Risk and Portfolio Optimization
Chinese Academy of Sciences
2018-2021
University of Chinese Academy of Sciences
2007-2021
Academy of Mathematics and Systems Science
2018-2020
Wuhan University of Technology
2019
University of Wisconsin–Madison
2012-2018
Institute of High Energy Physics
2008
Southeast University
2007-2008
Guizhou Center for Disease Control and Prevention
2007
A multilayered perceptrons' neural network technique has been applied in the particle identification at BESIII. The networks are trained each sub-detector level. NN output of sub-detectors can be sent to a sequential or constructed as PDFs for likelihood. Good muon-ID, electron-ID and hadron-ID obtained from by using simulated Monte Carlo samples.
Material effect of inner-detectors on the performances BESIII Electromagnetic Calorimeter (EMC) is investigated. The Time-Of-Flight counters (TOF) have been utilized to improve energy resolution and detection efficiency for photons after a careful calibration. A matching algorithm between TOF EMC deposits developed, effects beam-related background are discussed. improved photon can be increased by combined measurement detectors.
Many machine learning tasks can be formulated as a stochastic compositional optimization (SCO) problem such reinforcement learning, AUC maximization, and meta-learning, where the objective function involves nested composition associated with an expectation. While significant amount of studies has been devoted to studying convergence behavior SCO algorithms, there is little work on understanding their generalization, i.e., how these algorithms built from training examples would behave future...
In this paper, it is proved that the Hofbauer-So-Takeuchi conjecture for global stability of a Lotka-Volterra system with discrete diffusion holds true in case n= 5. By using computer algebra Maple, and based on modified PD algorithm proposed present we check positive definiteness class polynomials which largest one has 4874376 terms.
With the rapid development of solar photovoltaic systems, application and demand for tracking systems are growing accordingly. This paper, from an astronomical point view, analyses movement sun designs integrated device directional based on general formulas declination, time angle, azimuth, elevation angle. To improve accuracy efficiency, is designed by using a double-degree-of-freedom system, so that it can track in both horizontal vertical directions. Besides, hybrid mode applied to...