A5101708756- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Robotics and Sensor-Based Localization
- Topic Modeling
- 3D Printing in Biomedical Research
- Rocket and propulsion systems research
- Advanced Malware Detection Techniques
- Software Engineering Research
- Magnesium in Health and Disease
- Remote-Sensing Image Classification
- Computational Fluid Dynamics and Aerodynamics
- Pluripotent Stem Cells Research
- Opportunistic and Delay-Tolerant Networks
- Cell Image Analysis Techniques
- Parathyroid Disorders and Treatments
- Indoor and Outdoor Localization Technologies
- Optical Coherence Tomography Applications
- Advanced Data Compression Techniques
- Dielectric materials and actuators
- Dental Radiography and Imaging
- Video Analysis and Summarization
- Multimodal Machine Learning Applications
- Dental Implant Techniques and Outcomes
- Land Use and Ecosystem Services
- Combustion and flame dynamics
National Clinical Research Center for Digestive Diseases
2023-2025
State Key Laboratory of Oral Diseases
2021-2025
Sichuan University
2021-2024
Quzhou University
2023
University of Shanghai for Science and Technology
2023
Zhengzhou University
2022
Northwestern Polytechnical University
2019-2021
Tufts University
2021
Nanjing University of Posts and Telecommunications
2018-2020
Data Assurance and Communication Security
2019-2020
Diabetes has long been considered a risk factor in implant therapy and impaired wound healing soft hard oral tissues. Magnesium proved to promote bone under normal conditions. Here, we elucidate the mechanism by which Mg
<title>Abstract</title> Background Homing and differentiation of stem cells is a necessary step in achieving implant osseointegration. However, the specific role mechanism about osseointegration process were rarely reported. Rencently, LepR<sup>+</sup> identified as crucial skeletal long bone alveolar bone, which participated homeostasis maintenance damage repair. As one indispensable trace elements human body, Mg<sup>2+</sup> proved to promote vascularized regeneration. Here, by combining...
In recent years, unmanned aerial vehicles (UAVs) have rapidly developed, but the illegal use of UAVs by civilians has resulted in disorder and security risks increasingly triggered community concern worry. Therefore, monitoring recycling key regions are great significance. This paper presents novel panoramic UAV surveillance autonomous system that is based on unique structure-free fisheye camera array capability real-time detection, 3D localization, tracking, capacity over a very wide field...
Limited by aircraft flight altitude and camera parameters, it is necessary to obtain wide-angle panoramas quickly stitching aerial images, which helpful in rapid disaster investigation, recovery after earthquakes, reconnaissance. However, most existing algorithms do not simultaneously meet practical real-time, robustness, accuracy requirements, especially the case of a long-distance multistrip flight. In this paper, we propose novel image-only real-time UAV image mosaic framework for flights...
Abstract Purpose The aim of this study is to examine and compare the accuracy implant placement using positional guide freehand. Methods 48 implants were placed in patients with single tooth loss freehand, respectively. was assessed by comparing actual planned position, including four parameters: coronal deviation, apical angular vertical deviation. Results Comparing all variables, it has been found that more accurate than All parameters describing deviation significantly lower group...
An evaluation of land use and cover change is a vital component any study into climate change, ecological evolution, human civilization's long-term growth. Remote sensing image data-based (LUCC) research has become an essential frequently utilized approach. Given the scarcity high spatial resolution imagery in urban remote sensing, as well low accuracy efficiency classification, new satellite fusion methodology defined nonshear wave transformation, pulse linked neural network,...
With the explosive increase of image data, efficiency both compression and retrieval becomes unprecedentedly significant. However, these two tasks are usually isolated executed, which waste great computational resources in large-scale applications. In this work, we propose a joint framework called CodedRetrieval, can find general feature expression for based on neural network. Additionally, stage training strategy is designed to achieve better balance between distinct tasks. Experimental...
Locality-Sensitive Hashing (LSH) and its variants are well-known indexing schemes for solving the similarity search problem in high-dimensional space. Traditionally, these centrally managed multiple hash tables needed to guarantee quality. However, due limitation of storage space, centralized become impractical massive data objects. Therefore, several distributed proposed how ensure load balancing is a key issue large-scale structured P2P networks. In this paper, we propose novel theoretical...
Abstract Small unmanned aerial vehicles (UAVs) have developed rapidly and are widely used for disaster relief, traffic monitoring military surveillance. To perform these tasks better, it is necessary to improve the environmental perception ability of UAVs in a dynamic environment, including their static ability. Specifically, both three‐dimensional reconstruction scene localization moving objects required. Simultaneous Localization And Mapping technology has made great progress structure UAV...
Learning from source code usually requires a large amount of labeled data. Despite the possible scarcity data, trained model is highly task-specific and lacks transferability to different tasks. In this work, we present effective pre-training strategies on top novel graph-based representation, produce universal representations for code. Specifically, our representation captures important semantics between elements (e.g., control flow data flow). We pre-train graph neural networks extract...