A5038819483- Photovoltaic System Optimization Techniques
- Solar Radiation and Photovoltaics
- Genetics and Neurodevelopmental Disorders
- Family and Disability Support Research
- Industrial Vision Systems and Defect Detection
- Energy Load and Power Forecasting
- Single-cell and spatial transcriptomics
- Solar Thermal and Photovoltaic Systems
- solar cell performance optimization
- Moyamoya disease diagnosis and treatment
- Islanding Detection in Power Systems
- Infrastructure Maintenance and Monitoring
- Advanced Memory and Neural Computing
- Advanced Battery Technologies Research
- Adsorption and Cooling Systems
- Thermodynamic and Exergetic Analyses of Power and Cooling Systems
- Machine Learning and ELM
- Power Systems and Renewable Energy
- Gene expression and cancer classification
- Genomics and Chromatin Dynamics
- Image Processing Techniques and Applications
- Advanced Vision and Imaging
- Mobile Ad Hoc Networks
- Energy Efficient Wireless Sensor Networks
- Optical measurement and interference techniques
Zhangzhou Normal University
2025
Fuzhou University
2014-2023
Collaborative Innovation Center of Chemical Science and Engineering Tianjin
2016-2020
Victor Chang Cardiac Research Institute
2016-2018
Thomas Jefferson University
2018
Baylor University
2018
Baylor College of Medicine
2018
University of Alabama
2018
Texas Children's Hospital
2018
Division of Undergraduate Education
2018
Most existing dimensionality reduction and clustering packages for single-cell RNA-seq (scRNA-seq) data deal with dropouts by heavy modeling computational machinery. Here, we introduce CIDR (Clustering through Imputation Dimensionality Reduction), an ultrafast algorithm that uses a novel yet very simple implicit imputation approach to alleviate the impact of in scRNA-seq principled manner. Using range simulated real data, show improves standard principal component analysis outperforms...
Improving the accuracy of very-short-term (VST) photovoltaic (PV) power generation prediction can effectively enhance quality operational scheduling PV plants, and provide a reference for maintenance emergency response. In this paper, effects different meteorological factors on as well degree impact at time periods are analyzed. Secondly, according to characteristics radiation coordinate, simple classification coordinate (RCC) method is proposed classify select similar periods. Based...
The performance of the Cu_2ZnSnS_4 based solar cell is investigated using a simulation program called Solar Cell Capacitance Simulator (SCAPS). structure on (CZTS) compound semiconductor as absorber layer, ＂n＂-doped and un-doped (i) zinc oxide window In_2S_3 buffer layer.We study influence defect density, carrier thickness CZTS working temperature, layer its density performance. results illustrate that optimal from 2500 to 3000 nm for in range 20 30 layer. Besides, controlling under...
Single cell RNA sequencing (scRNA-seq) provides great potential in measuring the gene expression profiles of heterogeneous populations. In immunology, scRNA-seq allowed characterisation transcript sequence diversity functionally relevant T subsets, and identification full length receptor (TCRαβ), which defines specificity against cognate antigens. Several factors, e.g. library capture, quality, output affect quality data. We studied effects read depth on profiles, type identification, TCRαβ...
In this paper, based on an improved radial basis function (RBF) kernel extreme learning machine (ELM) optimized by simulated annealing algorithm, a novel intelligent fault diagnosis approach for photovoltaic (PV) array is proposed. Firstly, three common PV faults are analyzed in detailed. And then, the ELM proposed to automatically detect of array. Moreover, (SA) algorithm exploited optimize parameters RBF-ELM model. Finally, simulation experiment carried out verify SA-RBF-ELM and result...
During the operating lifecycle of civil structures, cracks will occur inevitably, which may pose great threat to safety structures without timely maintenance. Digital image processing techniques have potential in automatically detecting cracks, can replace labor-intensive and highly subjective traditional manual on-site inspections. Therefore, this paper presents a crack detection technology based on convolutional neural network, GoogLeNet Inception V3. Firstly, dataset is acquired...
Problematic social media use (PSMU) and problematic gaming (PG) among university students as specific types of internet (PIU) have become a growing concern. PSMU PG may lead to negative outcomes such academic exhaustion diminished hope. However, previous studies not simultaneously considered the associations these variables from perspective Stressor-Strain-Outcome model. Furthermore, concept 'mattering'-the feeling being valued important others 'fear mattering' in this dynamic is notably...