A5078567815- Control Systems and Identification
- Fault Detection and Control Systems
- Target Tracking and Data Fusion in Sensor Networks
- Advanced Control Systems Optimization
- COVID-19 epidemiological studies
- COVID-19 diagnosis using AI
- Process Optimization and Integration
- Industrial Vision Systems and Defect Detection
- Power Line Inspection Robots
- Probabilistic and Robust Engineering Design
- Product Development and Customization
- Antibiotic Resistance in Bacteria
- Model Reduction and Neural Networks
- Pharmaceutical and Antibiotic Environmental Impacts
- Blind Source Separation Techniques
- Carbon Dioxide Capture Technologies
- Electrochemical Analysis and Applications
- Spacecraft Design and Technology
- Advanced Chemical Sensor Technologies
- 3D Surveying and Cultural Heritage
- Advanced Neural Network Applications
- Antibiotics Pharmacokinetics and Efficacy
- Gene Regulatory Network Analysis
- Geodetic Measurements and Engineering Structures
- Space Satellite Systems and Control
Xiamen University of Technology
2025
Jiangnan University
2020-2024
Zhejiang Normal University
2024
University of Alberta
2022-2023
Jilin Medical University
2020
Jilin University
2020
Kunming University of Science and Technology
2019
In this paper, we propose a dynamical model to describe the transmission of COVID-19, which is spreading in China and many other countries. To avoid larger outbreak worldwide, Chinese government carried out series strong strategies prevent situation from deteriorating. Home quarantine most important one spread COVID-19. order estimate effect population quarantine, divide into seven categories for simulation. Based on Least-Squares procedure officially published data, estimation parameters...
aims: We explore the potential of large language models (LLMs) for COVID-19 diagnosis. background: Coronavirus Disease 2019 (COVID-19), which emerged in 2019, has caused millions deaths worldwide. objective: Although effective vaccines have been developed to mitigate severe symptoms, certain populations, particularly elderly and those with comorbidities, remain at high risk outcomes increased mortality. Consequently, early identification severity clinical disease these patients is vital...
Summary The combined iterative parameter and state estimation problem is considered for bilinear state‐space systems with moving average noise in this paper. There are the product terms of variables control systems, which makes it difficult estimation. By designing a estimator based on Kalman filtering, states estimated using input‐output data. Furthermore, data window (MDW) introduced, can update dynamical by removing oldest adding newest measurement A estimator‐based MDW gradient‐based...
Coronavirus Disease 2019 (COVID-19), which emerged in 2019, has caused millions of deaths worldwide. Although effective vaccines have been developed to mitigate severe symptoms, certain populations, particularly the elderly and those with comorbidities, remain at high risk for outcomes increased mortality. Consequently, early identification severity clinical disease these patients is vital prevent adverse prognoses. traditional machine learning deep models widely employed this area,...
Summary Because of the product item control input and state vector, identification bilinear systems is difficult. This paper considers combined parameter estimation problems state‐space systems. On basis observability canonical form model transformation, an with a linear combination system parameters obtained. Using hierarchical principle, decomposed into three submodels fewer variables, three‐stage least squares‐based iterative (3S‐LSI) algorithm presented to estimate parameters....
Based on the Johnson-Holmquist-Ceramics material model in LS-DYNA, penetration process of bullet impact sapphire plate is simulated by finite element method, and failure mechanism also analyzed.Four main observations are obtained-First, when hits plate, warhead does not invade panel immediately, but firstly roughened abraded.Secondly, force increased sharply reached peak value formation smash cone.Thirdly, after cone completely formed, strength decreases gradually projectile appears...
The process monitoring and control of post-combustion CO <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> capture plants (PCCPs) is crucial. In this work, we address the problem sensor placement for PCCPs propose a computationally efficient method to perform placement. objective determine (near-)optimal set sensors that maximizes degree observability state estimation while satisfying budget constraint. Specifically, resort information...
Abstract This paper is concerned with the identification of bilinear systems in state-space form. The parameters to be identified considered system are coupled unknown states, which makes problem difficult. To deal trouble, iterative estimation theory derive joint parameter and state algorithm. Specifically, a moving data window least squares-based (MDW-LSI) algorithm derived estimate by using data. Then, states estimated estimator. Moreover, for purpose improving computational efficiency,...