- Seismic Imaging and Inversion Techniques
- Seismic Waves and Analysis
- Vehicle Routing Optimization Methods
- Advanced Numerical Methods in Computational Mathematics
- Transportation Planning and Optimization
- EEG and Brain-Computer Interfaces
- ECG Monitoring and Analysis
- Model Reduction and Neural Networks
- Maritime Ports and Logistics
- Access Control and Trust
- Computational Fluid Dynamics and Aerodynamics
- Hydraulic Fracturing and Reservoir Analysis
- Supply Chain and Inventory Management
- Transportation and Mobility Innovations
- Sustainable Supply Chain Management
- Advanced Computational Techniques and Applications
- Fractional Differential Equations Solutions
- Numerical methods in engineering
- Maritime Transport Emissions and Efficiency
- Urban and Freight Transport Logistics
- Advanced Manufacturing and Logistics Optimization
- Grey System Theory Applications
- Facility Location and Emergency Management
- Service-Oriented Architecture and Web Services
- Nonlinear Waves and Solitons
Zhengzhou University
2014-2024
Beijing Technology and Business University
2011-2024
Alibaba Group (China)
2023-2024
Sichuan University
2024
West China Hospital of Sichuan University
2024
Renmin Hospital of Wuhan University
2022-2024
Wuhan University
2022-2024
Beijing University of Posts and Telecommunications
2023
Chinese Institute for Brain Research
2023
Capital Medical University
2023
In this paper, by means of a proper orthogonal decomposition (POD) we mainly reduce the order classical Crank–Nicolson finite difference (CCNFD) model for fractional-order parabolic-type sine-Gordon equations (FOPTSGEs). Toward end, will first review CCNFD FOPTSGEs and theoretical results (such as existence, stabilization, convergence) solutions. Then establish an optimized extrapolating (OCNFDE) model, including very few unknowns but holding fully second-order accuracy via POD. Next, matrix...
Based on the Global Burden of Diseases, Injuries, and Risk Factors (GBD) study, neurologic disorders are a major cause morbidity mortality worldwide. However, there has been no comprehensive assessment in Asia. Data from GBD 1990-2019 study were investigated to provide new details for Asia.The burden common Asia was calculated 1990 2019 as incidence, prevalence, deaths, disability-adjusted life-years (DALYs). Thirteen analyzed. presented totals by sex, age, year, location, risk factors,...
Purpose This paper aims to find optimal emission reduction investment strategies for the manufacturer and examine effects of carbon cap-and-trade policy uncertain low-carbon preferences on strategies. Design/methodology/approach studied a supply chain consisting one retailer, in which is responsible investment. The has two strategies: (1) invest traditional technologies only production process (2) increase smart use process. Then, three different Stackelberg game models are developed explore...
Extracting invariant representations in unlabeled electrocardiogram (ECG) signals is a challenge for deep neural networks (DNNs). Contrastive learning promising method unsupervised learning. However, it should improve its robustness to noise and learn the spatiotemporal semantic of categories, just like cardiologists. This article proposes patient-level adversarial contrastive (ASTCL) framework, which includes ECG augmentations, an module, module. Based on attributes, two distinct but...
With changing customer attitudes toward consumption and function homogenization, product appearance designs have an increasing influence on the purchase decision. Customer characteristics emotional factors play important role here. This study proposes a novel approach for modelling satisfaction accomplishing configuration that overcomes limitations of conventional methods to precisely predict satisfaction, provide optimal recommendations, advise manufacturers design. The newly proposed...