A5040295662- Building Energy and Comfort Optimization
- Infection Control and Ventilation
- Smart Grid Energy Management
- Vitamin C and Antioxidants Research
- COVID-19 Clinical Research Studies
- Human Pose and Action Recognition
- Elevator Systems and Control
- Long-Term Effects of COVID-19
- COVID-19 impact on air quality
- Urban Heat Island Mitigation
- Medical Image Segmentation Techniques
- Advanced MRI Techniques and Applications
- Toxin Mechanisms and Immunotoxins
- Sepsis Diagnosis and Treatment
- Smart Agriculture and AI
- High Entropy Alloys Studies
- Chemotherapy-induced cardiotoxicity and mitigation
- Iron Metabolism and Disorders
- Visual Attention and Saliency Detection
- Radio Wave Propagation Studies
- Monoclonal and Polyclonal Antibodies Research
- Innovative Educational Techniques
- Leaf Properties and Growth Measurement
- Gait Recognition and Analysis
- Cholesterol and Lipid Metabolism
Dongshin University
2025
Texas A&M University
2023-2024
Xiangya Hospital Central South University
2024
Central South University
2024
Neusoft (China)
2024
Chengdu Neusoft University
2024
Walker (United States)
2023-2024
Dalian University of Technology
2024
Tongji University
2020-2023
Sheng Jing Hospital
2023
The melt-spun structure of a Fe85.5B13Cu1.5 alloy was regulated by the addition corrosion-resistant Cr with moderate enhancement in amorphous-forming ability, which further refines nanostructure and improves soft magnetic properties corrosion resistance corresponding nanocrystalline alloys. results show that high-number-density α-Fe grains size below 10 nm are formed amorphous matrix Fe85.5-xB13Cu1.5Crx (x = 0–6) ribbons, grain number density gradually decrease increase content. After...
The rise of deep learning technology has broadly promoted the practical application artificial intelligence in production and daily life. In computer vision, many human-centered applications, such as video surveillance, human-computer interaction, digital entertainment, etc., rely heavily on accurate efficient human pose estimation techniques. Inspired by remarkable achievements learning-based 2D estimation, numerous research studies are devoted to topic 3D via methods. Against this...
Traditional methods often struggle to objectively quantify the impact of salary incentives on employees' productivity, leaving enterprise incentive strategies without a solid scientific foundation. To address this issue, study innovatively combines recurrence quantification analysis (RQA) with electroencephalogram (EEG) signals, proposing dynamic evaluation model based brain chaos characteristics. By comparing EEG signals workers and reward punishment (control group vs. experimental group),...
Epigenetic modifications that exhibit circadian oscillations also promote of gene expression. Brassica napus is a heterozygous polyploid species has undergone distant hybridization and genome doubling events young distinct origin. Studies incorporating rhythm analysis epigenetic can offer new insights into differences in diurnal oscillation behavior among subgenomes the regulation diverse expressions homologous rhythms biological clocks.In this study, we created high-resolution...
This paper selects the data of China's consumer price index(CPI) from 1985 to 2020. Through establishment traditional prediction model ARIMA and machine learning LSTM, trend CPI is judged predicted, results accuracy are compared. The show that two methods have their own advantages disadvantages in different years. Overall, LSTM higher than model.