A5042120942- Advanced Image and Video Retrieval Techniques
- Gene expression and cancer classification
- Animal Virus Infections Studies
- Sparse and Compressive Sensing Techniques
- Sustainable Building Design and Assessment
- Image Retrieval and Classification Techniques
- Remote Sensing and LiDAR Applications
- Smart Agriculture and AI
- Environmental Sustainability in Business
- Evolutionary Algorithms and Applications
- Robotics and Automated Systems
- Remote-Sensing Image Classification
- Advanced Decision-Making Techniques
- Machine Learning and Data Classification
- Evaluation and Optimization Models
- Traffic Prediction and Management Techniques
Nanjing Normal University
2024
Southeast
2021
Huanggang Normal University
2021
Qufu Normal University
2017
Multimodal brain magnetic resonance (MR) imaging is indispensable in neuroscience and neurology. However, due to the accessibility of MRI scanners their lengthy acquisition time, multimodal MR images are not commonly available. Current image synthesis approaches typically trained on independent datasets for specific tasks, leading suboptimal performance when applied novel tasks. Here, we present TUMSyn, a Text-guided Universal Synthesis generalist model, which can flexibly generate with...
Low-rank representation (LRR) has attracted lots of attentions in recent years. However, LRR a chief shortcoming, which uses the nuclear norm to approximate non-convex rank function. This approximation minimises all singular values, thus may not function well. In this paper, we propose novel low-rank method that replaces with truncated And it is applied identifying differentially expressed genes. The defined as sum some smaller values be better measure than norm. order achieve convergence...
As the foundation of human survival, development agriculture has always played an important role in social development. The quality agricultural determines speed progress. With computer science, using technology to solve problems related become research direction current In recent years, remote sensing detection received widespread attention, and application can provide great convenience for agriculture. Benefit from deep learning, made gigantic achievements. However, we have face some...
In spectral scene simulation applications, it is necessary to recognize and detect desert satellite images containing water. However, previous network models such as AlexNet, VggNet, GoogleNet have gradually fallen behind the trend of times. Compared with latest models, they not only slow training speeds but also do achieve high accuracy. Therefore, this study adopts a series solve problem compare analyze results.
Low-rank representation (LRR) has attracted lots of attentions in recent years. However, LRR a chief shortcoming, which uses the nuclear norm to approximate non-convex rank function. This approximation minimises all singular values, thus may not function well. In this paper, we propose novel low-rank method that replaces with truncated And it is applied identifying differentially expressed genes. The defined as sum some smaller values be better measure than norm. order achieve convergence...
In order to standardize public resource trading activities and improve the operating efficiency of platforms, this paper conducts research on performance platforms. A three-level 28-dimension evaluation index system for platform is established by considering four levels “input-process-output-effect.” Besides, entropy weight method, gray clustering, fuzzy comprehensive are integrated basis. Entropy method used determine weight, degree value membership indexes class determined based clustering...
We proposed a traffic operation risks assessment method of large-scale activities based on fuzzy Bayesian network for the precise prevention and rationalization emergency plans during activities. Based establishment indicator system, we constructed topology map structure Interpretive Structural Modeling (ISM) quantified number, state conditional probability nodes. Finally, examined opening ceremony major winter sports event at National Stadium as case study. analyzed were using Netica's...