A5048205186- Image Enhancement Techniques
- Advanced Image Fusion Techniques
- Visual Attention and Saliency Detection
- Smart Agriculture and AI
- Authorship Attribution and Profiling
- Augmented Reality Applications
- Artificial Intelligence in Healthcare
- AI in Service Interactions
- Reservoir Engineering and Simulation Methods
- Industrial Vision Systems and Defect Detection
- Optimization and Search Problems
- Hate Speech and Cyberbullying Detection
- Online Learning and Analytics
- 3D Surveying and Cultural Heritage
- Swearing, Euphemism, Multilingualism
- Date Palm Research Studies
- Cultural Heritage Materials Analysis
- Intelligent Tutoring Systems and Adaptive Learning
First Affiliated Hospital of Jiangxi Medical College
2024
Nankai University
2024
Huaihua University
2022-2023
Timely treatment and elimination of diseases pests can effectively improve the yield quality crops, but current identification methods are difficult to achieve efficient accurate research analysis pests. To solve this problem, study proposes a crop pest method based on multilayer network model. First, provides reliable sample dataset for recognition model through image data enhancement other operations; corresponding is constructed VGG16 Inception-ResNet-v2 transfer learning ensure...
This study aims to provide a medical information management system using multi-source heterogeneous big data improve service quality and efficiency, with motivation on its potential in insurance DRG payment. The framework uses Back Propagation Neural Network (BPNN) technology efficiently process analyze data. Comparative experiments parameter adjustments evaluated the system's performance. Results show that BPNN model achieved excellent accuracy (92.5%), recall (93%), F1 value (92.8%) test...
The current surge in popularity of social platforms like Twitter, Weibo International, TikTok, and online games has greatly increased users' information interaction. However, it also brought about the issue profanity speech abuse. Profanity speech, i.e., insulting or offensive remarks individuals groups, negatively affects public environment user experience, making development detection techniques particularly important. In this study, CNN LSTM are used to extract sentiment features sentence...
With the rapid development of artificial intelligence, AI technology has been widely applied in various industries, including education. In English teaching, provides teachers with objective and instructive feedback, offers students a more personalized learning experience, helping them improve their language skills, etc., brings new opportunities challenges to teaching as well. However, there are still some problems that need be solved college our university. For this reason, based on...
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...