A5065673984- Higher Education and Teaching Methods
- Educational Technology and Pedagogy
- Artificial Intelligence in Healthcare
- Education and Work Dynamics
- Advanced Computing and Algorithms
- Air Quality Monitoring and Forecasting
- Energy Load and Power Forecasting
- Online Learning and Analytics
- Sport and Mega-Event Impacts
- Educational Reforms and Innovations
- Hydrological Forecasting Using AI
- Education and Vocational Training
- Industrial Vision Systems and Defect Detection
- Air Quality and Health Impacts
- Advanced Graph Neural Networks
- Education Systems and Policy
- Cultural Heritage Materials Analysis
- Advanced Image Processing Techniques
- Educational Technology and Assessment
- Recommender Systems and Techniques
- Nuclear and radioactivity studies
- Computer Graphics and Visualization Techniques
- Brain Tumor Detection and Classification
- Advanced Vision and Imaging
- Topic Modeling
Huaihua University
2023-2025
Pingxiang University
2011
Honghe University
2004-2007
Hunan University of Science and Engineering
2006
Universities and schools rely heavily on the ability to forecast student performance, as it enables them develop efficient strategies for enhancing academic results averting attrition. The automation of processes management large datasets generated by technology-enhanced learning tools can facilitate analysis processing these data, which provides crucial insights into knowledge students their engagement with endeavors. method under consideration aims achievement through an ensemble deep...
In response to the current difficulty in identifying and predicting cocaine addicted individuals based on brain MRI images, this paper designs a deep learning recognition prediction model convolutional neural networks. 29 24 healthy controls were selected from images. After per-forming series of data preprocessing operations such as skull dissection augmentation networks is constructed process processed images identify predict individuals. The experimental results show that accuracy models...
In the western Hunan region, textile cultural relics of ethnic minorities, considered precious heritage, often suffer damage due to passage time and external environmental influences. After detailed image acquisition digitization damaged artifacts in Hunan, we conducted processing. Through edge detection texture analysis, successfully identified analyzed areas textiles. Utilizing advanced restoration algorithms, including pre-trained models for sharpening, content completion, pattern...
Climate prediction plays a crucial role in understanding and adapting to the impacts of climate change. In recent years, researchers have explored its application models. Our aim is build deep hybrid model for specifically Daxiangxi region, which includes CNN, LSTM, MLP (called CLM). It aims assist decision-making related agriculture, water resource management, human being life. Deep learning models typically adopt different neural network structures with multiple hidden layers, can learn...