A5039717115- Advanced Image Fusion Techniques
- Image Enhancement Techniques
- Generative Adversarial Networks and Image Synthesis
- Remote-Sensing Image Classification
- Advanced Image Processing Techniques
- Digital Media Forensic Detection
- Image and Signal Denoising Methods
- Infrared Target Detection Methodologies
- Image Processing Techniques and Applications
- Face recognition and analysis
- Advanced Neural Network Applications
- Advanced Steganography and Watermarking Techniques
- Machine Learning in Bioinformatics
- Remote Sensing and Land Use
- Computational Drug Discovery Methods
- Advanced Computational Techniques and Applications
- Biometric Identification and Security
- Protein Structure and Dynamics
- Industrial Vision Systems and Defect Detection
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Multi-Criteria Decision Making
- Energy Load and Power Forecasting
- Fuzzy Logic and Control Systems
- Cancer, Stress, Anesthesia, and Immune Response
- Face and Expression Recognition
Yunnan University
2017-2025
Swift Engineering (United States)
2025
Sun Yat-sen University
2025
Beijing Luhe Hospital Affiliated to Capital Medical University
2024
Anhui Business College
2022-2023
Zhejiang DongFang Vocational and Technical College
2021-2022
University of Electronic Science and Technology of China
2022
Huzhou University
2022
Beijing Jiaotong University
2021
Software (Spain)
2021
This paper proposed a new approach combining priority list (PL) with binary particle swarm optimization (BPSO) to solve unit commitment (UC) problem. At first, PL method was used determine the initial UC, and then window determined according results, at last BPSO adopted UC problem within window. The is reduce computing time improve accuracy. In each iteration, adjustment heuristic strategy applied revise meet generators' constraints. Lambda-iteration dichotomy algorithm economic dispatch...
Remote sensing images are the product of information obtained by various sensors, and higher resolution image, more it contains. Therefore, improving remote image is conducive to identify earth resources from image. We present a multiple branch panchromatic restoration network based on convolutional neural improve spatial spectral simultaneously, named MBPRR-Net. Specifically, we adopt multi-branch structure extract abundant features, utilize feature channel mixing block enhance interaction...
The key issue of multi-sensor image fusion is how to accurately extract and fuse the high-quality pixels or coefficients source images. Nevertheless, so-called an uncertain fuzzy definition, which very suitable for theory address this problem. By integration stationary wavelet transform (SWT) sets, paper proposes a new multi-focus scheme, can merge important features different images into fused image. First, are decomposed by SWT get set sub-images with detailed features. Second, Gaussian...
Computational imaging provides comprehensive and reliable information about human tissue for medical diagnosis treatment, with image fusion as one of the most important technologies in field. Empirical mode decomposition (EMD), a promising model processing, has been used some methods. However, varying number decomposed layers leads to problems using EMD fusion. In this article, we propose method images incorporating L2 -norm-based features, match/salience/fuzzy-weighted measure, 2-D...
Remote sensing data have become increasingly vital in target detection, disaster monitoring, and military surveillance. Abundant pan-sharpening super-resolution (SR) methods based on deep learning been proposed achieved remarkable performance. However, requires paired panchromatic (PAN) multispectral (MS) images, SR cannot increase the spectral resolution of PAN. Thus, we introduce a computational imaging-based method to recover or produce incomplete single PAN MS. This work also explores...
Because thermal infrared (TIR) images are not affected by light and foggy environments, which widely used in various night traffic scenarios. Especially, also play an important role autonomous vehicles. However, low contrast lack of chromaticity have always been their problems. Image colorization is a vital technique to improve the quality TIR images, beneficial human interpretation downstream tasks. Despite image methods rapidly improved, detail blurriness color distortion colorized remain...
There is a growing industry consensus that blockchain presents an exciting insight into the future of next-generation operational technology. As brings new way organising underlying ledgers and communication, often we see leaders launching on-chain version their core business operating both in parallel, such as J. P. Morgan’s Onyx Euroclear’s D-FMI. Therefore, question on minds many what mass adoption would look like, participants balance needs modernising existing systems versus migrating...
Abstract Introduction Increasing evidence has shown that low-dose nicotine could have preventive and therapeutic effects on ischemic stroke (IS). Nevertheless, direct is still missing, especially key molecules signal pathways. Methods Mice were randomly assigned to one of three groups: the sham group, control nicotine-treated group. In mice subjected middle cerebral artery occlusion/reperfusion (MCAO/R). exposed 12 μg/ml in their drinking water for 1 month prior undergoing surgery. For vitro...