A5058861319- Generative Adversarial Networks and Image Synthesis
- Digital Media Forensic Detection
- Anomaly Detection Techniques and Applications
- Vehicle Routing Optimization Methods
- Protease and Inhibitor Mechanisms
- Explainable Artificial Intelligence (XAI)
- Advanced Image Processing Techniques
- Image and Signal Denoising Methods
- Advanced Neural Network Applications
- Robotic Path Planning Algorithms
- Intracranial Aneurysms: Treatment and Complications
- Transportation and Mobility Innovations
- Blood Coagulation and Thrombosis Mechanisms
Nanjing University of Science and Technology
2023-2024
Anqing Normal University
2019
Mudanjiang Medical University
2018
The current study aimed to investigate the relations of three single nucleotide polymorphisms matrix metalloproteinase-9 gene, and polymorphisms-smoking interaction subarachnoid hemorrhage risk. optimal pattern among smoking was selected by generalized multifactor dimensionality reduction. association between within gene analyzed logistic regression test. As well as genetic risk interactions with smoking, in carriers rs3918242 (T) significantly higher than carrying CC (genotype: CT + TT vs....
The receding horizon control (RHC) combining with the various intelligent algorithms is a common method for dynamic vehicle routing problem (DVRP). However, traditional RHC only considers objects within each time window while making route plan, and can't make adjustment according to situations of near window. In order deal this problem, fuzzy strategy (FRHC) proposed. By membership function theory, relationship between redefined. And travel routes are planned by genetic algorithm (GA)...
Explaining the complicated mechanisms underlying image classification capabilities of deep Convolutional Neural Network (CNN) models, continue to pose huge challenges within field computer vision. To address this concern, numerous interpretability methods have been devised, aimed at clarifying process. These include approaches such as sensitivity maps, which involve computing gradients class outputs with respect input images, and techniques like activation mapping (CAM). Furthermore,...