A5101418129- Spectroscopy and Chemometric Analyses
- Power Systems and Technologies
- Advanced Statistical Methods and Models
- High-Voltage Power Transmission Systems
- Smart Grid and Power Systems
- Blind Source Separation Techniques
- Autonomous Vehicle Technology and Safety
- Remote Sensing and Land Use
- Complex Network Analysis Techniques
- Traffic Prediction and Management Techniques
- Data Visualization and Analytics
- Physical Unclonable Functions (PUFs) and Hardware Security
- VLSI and Analog Circuit Testing
- Advanced Computational Techniques and Applications
- Image Enhancement Techniques
- Human-Automation Interaction and Safety
- Sensory Analysis and Statistical Methods
- Advanced Neural Network Applications
- Astronomical Observations and Instrumentation
- Embedded Systems Design Techniques
- Methane Hydrates and Related Phenomena
- Advanced Measurement and Metrology Techniques
- Computational Drug Discovery Methods
- Spectroscopy Techniques in Biomedical and Chemical Research
- Video Surveillance and Tracking Methods
Harbin Institute of Technology
2023-2024
Tianjin University of Science and Technology
2020
Shanxi University of Finance and Economics
2017-2018
University of Prince Edward Island
2013-2015
Dalhousie University
2011-2013
Ship detection based on remote sensing images holds significant importance in both military and economic domains. Ships within such exhibit diverse scales, dense distributions, arbitrary orientations, narrow shapes, which pose challenges for accurate recognition. This paper introduces an improved S2A-Net (Single-shot Alignment Network) oriented object algorithm ship detection. In network structure, pyramid squeeze attention is embedded order to focus key features a context information module...
Multivariate chemical and biological data are increasingly characterized by measurement error variances that highly heterogeneous. Such heteroscedasticity may be inherent in the measurements themselves or a consequence of pretreatment. The presence with large among more precise observations leads to problems analysis. For exploratory analysis particular low‐dimensional visualization structures, these complications can result from sources include preprocessing, subspace estimation, projection...
High‐dimensional data, which have become common in analytical chemistry, are often rich information, but useful information may not be discovered without applying advanced data analysis methods. As a powerful tool for exploratory analysis, projection pursuit (PP) is less widely used chemistry compared with other methods such as principal component (PCA), although PP gives better results than PCA. does uniquely defined objective function (projection index), and different statistics been...
To meet the requirements of high-dimensional data processing in information field, this paper attempts to explore methods and techniques clustering visualization for general resources. Through dimensionality reduction visual mapping data, established a system model which will visualize influencing factors. The approach was tested by using IRIS dataset from University California Irvine (UCL) database. results demonstrate that can effectively analyze set, features real time achieve expected results.
Removed.
The probabilistic load flow distribution of power system is calculated based on Cornish-Fisher expansion, which constructs the immediate relationship between unknown and known variables with cumulated as a link takes deterministic calculation starting point to generate function high accuracy. Simulative results show that, compared Monte Carlo simulation sampling method, proposed method enhances computational speed significantly while maintains
Online shopping is becoming an irreplaceable pattern with the ever-lasting high speed development of information age. With aim to explore influencing factors peasants' behaviors on household items, reasonable purchasing models have been established base analysis survey data. empirical scale data from six villages in Jiaozuo city Henan Province, this paper illustrated processing firstly. Taking reliability and validity into account, carried out correlation path finally S-O-R model regression...
Removed.