A5077289658- Spatial and Panel Data Analysis
- Chaos-based Image/Signal Encryption
- Human Mobility and Location-Based Analysis
- Inflammatory Biomarkers in Disease Prognosis
- Regional Economics and Spatial Analysis
- Soybean genetics and cultivation
- Urban Transport and Accessibility
- Cancer, Lipids, and Metabolism
- Legume Nitrogen Fixing Symbiosis
- Geographic Information Systems Studies
- Web Application Security Vulnerabilities
- Anomaly Detection Techniques and Applications
- Cloud Data Security Solutions
- Cryptography and Data Security
- Human Pose and Action Recognition
- Cryptography and Residue Arithmetic
- Advanced Data Storage Technologies
- Fire Detection and Safety Systems
- Cardiovascular Disease and Adiposity
- Telecommunications and Broadcasting Technologies
- Weed Control and Herbicide Applications
- Speech and Audio Processing
- Advanced Computational Techniques and Applications
- Advanced Measurement and Detection Methods
- Natural Language Processing Techniques
Central China Normal University
2006-2024
Cloud Computing Center
2023
Inspur (China)
2023
University of Science and Technology of China
2022
Wuhan University
2004-2019
Nanjing University of Science and Technology
2018
Jilin Academy of Agricultural Sciences
2011
Due to the emergence of new big data technology, mobility such as flows between origin and destination areas have increasingly become more available, cheaper, faster. These improvements infrastructure boosted spatial temporal modeling OD (origin-destination) flows, which require consideration dependence heterogeneity. Both ordinary least square (OLS) negative binomial (NB) regression methods been used extensively calibrate flow models by processing different types dependent variables. This...
Scale is a fundamental geographical concept and its role in different contexts has been widely documented. The increasing availability of transport mobility data, the form big datasets, enables further incorporation spatial dependencies non-stationarity into interaction modeling flows. In this paper newly developed multiscale flow-focused geographically weighted regression (MFGWR) approach applied, addition to global local Moran I indices flow model socio-economic determinants regional flows...
To investigate the correlation between neutrophil/lymphocyte ratio (NLR) combined with low-density lipoprotein cholesterol/high-density cholesterol (LDL-C/HDL-C) and severity of coronary lesions in patients acute syndrome (ACS).Patients who were diagnosed ACS due to chest pain received emergency angiography First Affiliated Hospital University Science Technology China Anhui Medical from January 2017 June 2020 enrolled final analysis. The data gender, age, body mass index (BMI), past history,...
Disk failure prediction is of great significance for ensuring the business continuity and data reliability cloud centers. Algorithm performance will directly affect operation maintenance costs user experience. Nowadays, many disk manufacturers use threshold S.M.A.R.T. to check fault detection or make prediction, but accuracy this method low. This paper proposes a based on deep learning, using residual network extract high-dimensional hidden features; neural combined with integrated tree...
Tracking methods based on Correlation Filter have been constantly improved in tracking accuracy and robustness. However, it still challenged background clutter, rotation changes occlusion, the drift of model was one main reasons. In this paper, we propose an online sample training method Gaussian Mixture Model. The maximum response value, obtained from convolution samples filters, is used to judge availability samples, which able reduce interference wrong samples. Then, through Model, are...