A5007883088- Mathematical Dynamics and Fractals
- Advanced Data Compression Techniques
- Advanced Image and Video Retrieval Techniques
- Image and Signal Denoising Methods
- Image Retrieval and Classification Techniques
- Advanced Steganography and Watermarking Techniques
- Medical Image Segmentation Techniques
- Algorithms and Data Compression
- Remote-Sensing Image Classification
- Chaos-based Image/Signal Encryption
- Advanced Image Fusion Techniques
- Photoacoustic and Ultrasonic Imaging
- Image Processing Techniques and Applications
- Advanced Vision and Imaging
- Advanced Computational Techniques and Applications
- Advanced Wireless Communication Techniques
- Advanced Optical Sensing Technologies
- Heat transfer and supercritical fluids
- Nuclear reactor physics and engineering
- Simulation and Modeling Applications
- Optical Systems and Laser Technology
- Image Enhancement Techniques
- Robotics and Sensor-Based Localization
- Cellular and Composite Structures
- Explainable Artificial Intelligence (XAI)
Wuzhou University
2006-2025
Macau University of Science and Technology
2023-2024
Ministry of Education of the People's Republic of China
2024
Chinese Academy of Medical Sciences & Peking Union Medical College
2023-2024
Taiyuan University of Science and Technology
2024
Huazhong University of Science and Technology
2022-2024
Tongji Hospital
2023-2024
Saudi Center for Organ Transplantation
2024
Shanghai Jiao Tong University
2022
Nanjing University
2019
The current stereo warehouse in the cold chain logistics industry faces problems such as high product loss rate, severe temperature deviations, and low level of informatization. To ensure food quality safety warehouses, achieve cost reduction efficiency improvement, this study focuses on operational scenarios warehouses logistics, designs a five-dimensional digital twin model with full mapping multidimensional simulation. By integrating heterogeneous data from multiple sources, it achieves...
Hyperspectral images can provide rich clues for various computer vision tasks. However, the requirements of professional and expensive hardware capturing hyperspectral impede its wide applications. In this paper, based on a simple but not widely noticed phenomenon that color printer print masks with large number independent spectral transmission responses, we propose low-budget scheme to capture random mask printed by consumer-level printer. Specifically, notice dots different colors are...
As the latest video coding standard, Versatile Video Coding (VVC) is highly efficient at cost of very high complexity, which seriously hinders its practical application. Therefore, it crucial to improve speed. In this paper, we propose a learning-based fast split mode (SM) and directional (DM) decision algorithm for VVC intra prediction using deep learning approach. Specifically, given observation that SM distributions units (CUs) different sizes are significantly distinct, first design...
Currently, screen content video applications are increasingly widespread in our daily lives. The latest Screen Content Coding (SCC) standard, known as Versatile Video (VVC) SCC, employs a quad-tree plus multi-type tree (QTMT) coding structure for Unit (CU) partitioning and Modes (CMs) selection. While VVC SCC achieves high efficiency, its complexity poses significant obstacle to the further adoption of video. Hence, it is crucial enhance speed SCC. In this paper, we propose fast mode...
In this paper, the effects of three typical operation modes, namely short-circuit fault, load change, and chemical energy storage on frequency a regional power grid after photovoltaic asynchronous interconnection were studied with different penetration ratios, taking in Northern Henan Province as research object. It was found that an increase ratio, maximum value system fluctuation amplitude gradually increased, became less stable. With peak at corresponding node valley decreased. load,...
As a type of time series data, trajectory data objectively record the location information and corresponding an object’s activities. It not only describes spatial activity moving object but also contains unique attributes, states, behavioral characteristics itself. can reflect interaction relationship between activities various elements in environment to certain extent. Therefore, mining from target discover implicit, effective, potentially useful spatiotemporal behavior patterns targets,...
Generally, the dynamic range of night vision scenes is large. Owing to limited traditional low light imaging technology, captured images are always partially overexposed or underexposed. Multi-exposure fusion most effective method overcoming limitation sensor, and multi-frame (LDR) image a key consideration. However, existing methods have problems such as detail blurring aliasing. This paper proposes an multi-scale decomposition based on gradient domain guided filter (GDGF), which can better...
Laser range-gated imaging systems can obtain images of targets hidden around the corner, with an intermediary reflective surface certain specular reflection characteristics. This mode is called non-line-of-sight imaging. paper describes a simulation target signal illuminance and disturbance radiation on photosensitive system based modeling surface. Meanwhile, image contrast model constructed. Simulation for laser as equipment was carried out by analyzing effects varying reflection. Our...
Directed against the characteristics of computational intensity fractal image compression encoding, a serial-parallel transfer mechanism is built for encoding procedures. By utilizing properties single instruction and multithreading execution compute unified device architecture (CUDA), parallel model on graphic processor unit(GPU) in order to parallelize considerably time-consuming serial process searching block best match. The experimental result indicates, algorithm this paper shortens...
Developing high light efficiency imaging techniques to retrieve dimensional optical signal is a long-term goal in computational photography. Multispectral imaging, which captures images of different wavelengths and boosting the abilities for revealing scene properties, has developed rapidly last few decades. From scanning method snapshot limit collection kept being pushed enables wider applications especially under light-starved scenes. In this work, we propose novel multispectral technique,...
Pseudorandom sequences have important applications in information security, and the generation method of pseudorandom sequence is an hotspot research. Because owning large amount Knight-tour Hamilton cycles size graph, a based on SemiHam algorithm to generate proposed this paper. Firstly, use produce set random vertices sequences, calculate rows columns each vertex graph. Secondly, bit digits corresponding values Knight moving direction. Finally, according D-values among number judge...
Focal segmental glomerular sclerosis (FSGS) tends to recur after kidney transplantation, particularly when genetic testing is negative. Once the recurrence happens, renal graft function can rapidly become impaired, following a massive urine protein loss. Despite intensive plasmapheresis and high-dose rituximab treatment, complete remission rate remains below 50%. The Kunxian capsule, representing new generation of tripterygium preparation, has shown promising results in controlling...
The research on sea–land segmentation of remote sensing images has received tremendous attention, which is great significance to coastline extraction and ocean monitoring. In recent years, various convolutional neural networks (CNNs) have been presented achieve precise efficient effect. However, existing CNNs typically adopt the symmetric encoder-decoder structure, inefficient for feature extraction, fusion, information transmission. To address these problems, this work develops a CNN...
Although virtual sandboxes are an essential component of platforms such as smart cities and parks, the efficiency visual rendering Web access is frequently hampered by many scenarios models. This paper combines polygon reduction algorithm with human system characteristics, proposes a real-time adjustment method for model data scenes, determines degree surface based on distance model’s center point in observation, then adjusts number triangular faces scene using collapse principle, to...