A5058665291- Energy Load and Power Forecasting
- Educational Innovations and Challenges
- Innovative Educational Technologies
- Artificial Intelligence in Healthcare and Education
- Smart Grid and Power Systems
- Congenital Heart Disease Studies
- Solar Radiation and Photovoltaics
- Artificial Intelligence in Healthcare
- Grey System Theory Applications
- Congenital heart defects research
- Machine Learning in Healthcare
- Educational Methods and Teacher Development
- Tracheal and airway disorders
- Power Systems and Renewable Energy
Xinqiao Hospital
2024
Army Medical University
2024
Guangzhou Medical University
2023
Wuhan University
2021
Nanfang Hospital
2021
Abstract Duct-dependent congenital heart diseases (CHDs) are a serious form of CHD with low detection rate, especially in underdeveloped countries and areas. Although existing studies have developed models for fetal structure identification, there is lack comprehensive evaluation the long axis aorta. In this study, total 6698 images 48 videos collected to develop test two-stage deep transfer learning model named DDCHD-DenseNet screening critical duct-dependent CHDs. The achieves sensitivity...
The effective prediction of bus load can provide an important basis for power system dispatching and planning energy consumption to promote environmental sustainable development. A forecasting method based on variational modal decomposition (VMD) bidirectional long short-term memory (Bi-LSTM) network was proposed in this article. Firstly, the series decomposed into a group relatively stable subsequence components by VMD reduce interaction between different trend information. Then, time model...
Questions of unfairness and inequity pose critical challenges to the successful deployment artificial intelligence (AI) in healthcare settings. In AI models, unequal performance across protected groups may be partially attributable learning spurious or otherwise undesirable correlations between sensitive attributes disease-related information. Here, we introduce Attribute Neutral Framework, designed disentangle biased from disease-relevant information subsequently neutralize them improve...
Under the background of "Carbon peaking, Carbon neutralization", in order to effectively control future carbon emissions, it is necessary accurately and quickly predict regional energy consumption short term. Therefore, this paper proposed an prediction method based on VMD-LSTM. In solve problem large change rate short-term noise curve, curve was decomposed into multiple intrinsic mode functions (IMFs) reconstructed by variational decomposition (VMD). The evaluated reduction evaluation...
The spirit of modern education is that information technology should be used as an aided learning tool in all areas to expand various and improve students' ability solve problems. Through the Internet, teachers students different locations can effectively interact with each other, thereby enhancing quality teaching. Modern emphasizes study area take into account principles curriculum planning collaborative teaching, which shows teaching one important core topics promotion. Collaborative...