A5065665452- Artificial Intelligence Applications
- Advanced Neural Network Applications
- 3D Surveying and Cultural Heritage
- Video Surveillance and Tracking Methods
- Metal Forming Simulation Techniques
- Advanced Image and Video Retrieval Techniques
- Face recognition and analysis
- Generative Adversarial Networks and Image Synthesis
- Advanced Vision and Imaging
- 3D Shape Modeling and Analysis
- Optical measurement and interference techniques
- Ideological and Political Education
- Human Pose and Action Recognition
- Radiomics and Machine Learning in Medical Imaging
- Color perception and design
- Smart Agriculture and AI
- Adaptive Control of Nonlinear Systems
- Cancer-related molecular mechanisms research
- Robotic Path Planning Algorithms
- Gait Recognition and Analysis
- Power Line Inspection Robots
- Topic Modeling
- Image Enhancement Techniques
- Remote Sensing and LiDAR Applications
- Text and Document Classification Technologies
Institute of Software
2025
Beijing Technology and Business University
2015-2024
Beihang University
2024
Shanxi University of Traditional Chinese Medicine
2024
Jiangxi Institute of Agricultural Machinery (Company)
2024
Xidian University
2024
Shanxi University
2024
C-Com Satellite Systems (Canada)
2023
Jiangxi Copper (China)
2023
University of Illinois Urbana-Champaign
2022
With the rapid development of Internet industry, sentiment analysis has grown into one popular areas natural language processing (NLP). Through it, implicit emotion in text can be effectively mined, which help enterprises or organizations to make an effective decision, and explosive growth data undoubtedly brings more opportunities challenges analysis. At same time, transfer learning emerged as a new machine technique that uses existing knowledge solve different domain problems produces...
Intelligent Transportation Systems (ITS) play an increasingly significant role in our life, where safe and effective vehicular networks supported by sixth-generation (6G) communication technologies are the essence of ITS. Vehicle-to-vehicle (V2V) vehicle-to-infrastructure (V2I) communications need to be studied implement ITS a secure, robust, efficient manner, allowing massive connectivity networks. Besides, with rapid growth different types autonomous vehicles, it becomes challenging...
It is widely accepted that houses in better-designed neighborhoods are found to enjoy a price premium. Prior studies have mainly examined the impact of macro-level neighborhood attributes (e.g., park accessibility using land use data) on housing prices. More recently, research has investigated micro-level features street view imagery (SVI) data, though scholars limited scope objective indicators such as green index and sky index. The role subjectively measured qualities less discussed due...
Person re-identification is the task of identifying pedestrians across different cameras. Domain adaptation person involves transferring knowledge from labeled source domains to unlabeled target domains, with applications in security and surveillance. Challenges emerge due variations sample quality disparities distance distribution between positive negative pairs. To address these challenges, this paper proposes a guided metric learning approach for domain re-identification. We focus on...
With the development of urbanization, people’s living standards have improved. Simultaneously, growing aggravation resource shortages and environmental pollution also gradually attracted widespread attention. Low-carbon energy planning can effectively reduce dependence on fossil resources carbon emissions to atmosphere, as well improve utilization resources. Therefore, formulation evaluation low-carbon become focus attention for related colleges institutions. This paper puts forward a hybrid...
Aims To determine the clinical predictors of live birth in women with polycystic ovary syndrome (PCOS) undergoing frozen-thawed embryo transfer (F-ET), and to whether these parameters can be used develop a nomogram model capable predicting outcomes for women. Methods In total, 1158 PCOS patients that were clinically pregnant following F-ET treatment retrospectively enrolled this study randomly divided into training cohort (n = 928) validation 230) at an 8:2 ratio. Relevant risk factors...
To understand the current application and development of 3D modeling in Digital Twins (DTs), abundant literatures on DTs are investigated by means literature review. The transition process from to is analyzed, as well various industries. fields smart manufacturing, ecology, transportation, buildings cities analyzed detail, limitations summarized. It found that technology has broad prospects for a huge impact all walks life even human lifestyles. At same time, relies support capabilities...
The recognition accuracy of the pedestrian re-identification algorithm is affected by factors such as scale, posture, occlusion level, and appearance a in an image. These bring great challenges to further development deep learning theory field person re-identification. On one hand, existing model cannot accurately extract attention information containing contextual discriminative features. other images same taken with different cameras have problem degrees occlusion. Therefore, we introduce...
Scene classification and semantic segmentation are two important research directions in computer vision. They widely used the of automatic driving human–computer interaction. The purpose scene is to use image determine category an by analyzing background target object, while aims classify at pixel level mark position information unit. In this paper, we aimed train neural network different scenarios obtain models with same number categories, which they process images. During actual test,...
There are many studies on the advantages of using mesenchymal stem cells (MSCs) that secrete various paracrine factors for repairing endometrial injury. However, stability and effectiveness MSCs require improvement to become a viable therapy. Hepatocyte growth factor (HGF), one cytokines secreted by MSCs, promotes vascular repair epithelial transformation (MET). Therefore, HGF likely process endometrium. We prepared transfected with gene explore its effects mechanism damaged endometrium...
Abstract In the article, an event‐triggered control policy is developed for a robotic manipulator with flexible joint (RMFJ) in presence of finite‐time convergence under requirement output constraints. Due to vibration existing joint, compared rigid manipulator, it exceedingly difficult RMFJ design adaptive method realizing highly accurate control. order reduce and restrain designed by introducing fractional term. Moreover, angular displacements link are constrained predefined region using...