A5046252027- AI in Service Interactions
- Technology Adoption and User Behaviour
- Environmental and Agricultural Sciences
- Energy, Environment, Economic Growth
- Digital Marketing and Social Media
- EEG and Brain-Computer Interfaces
- Neonatal and fetal brain pathology
- Machine Learning in Healthcare
- Machine Learning and Data Classification
National Cheng Kung University
2025
Henan University of Economic and Law
2024
University of Central Florida
2003
Brain midline shift (MLS) indicates the severity of mass effect from intracranial lesions such as traumatic brain injury, stroke, tumor, or hematoma. MLS can be used to determine whether patients require emergency surgery and predict patients' prognosis. Since is usually emergent, it must diagnosed immediately. Therefore, this study presents a computer-aided deep-learning method for detecting MLS, aiming mortality in prognosis-predicting cohort using clinical in-formation. The 3-dimensional...
This paper examines empirical research on the impact of green credit development commercial banks’ probability. To promote transformation economy, efficient use resources, and effective improvement ecological environment, it is necessary to vigorously comprehensive finance continuous financial system. In terms improving system, efforts can start with credit. uses related data from 10 Chinese listed banks 2012 2020 as panel data, employs Stata software for analysis. The final results show...
This paper examines the long-term dynamic impact of short-term cross-border capital flows on Shanghai Composite Index and CSI 300 using monthly data from 2010 to 2020 a Vector Autoregression (VAR) model. With financial opening internationalization renminbi in China, stock market has gradually liberalized its management foreign capital. As result, A-share become target for passive inflows overseas investors. further intensified volatility asset prices posed challenges China's regulation....
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