A5100340499- Advanced Image Fusion Techniques
- Infrared Target Detection Methodologies
- Advanced X-ray and CT Imaging
- Advanced Wireless Network Optimization
- Advanced Measurement and Detection Methods
- Wireless Communication Networks Research
- Advanced Algorithms and Applications
- Advanced battery technologies research
- Image Enhancement Techniques
- Thermochemical Biomass Conversion Processes
- Bone Tissue Engineering Materials
- Cognitive Radio Networks and Spectrum Sensing
- Material Dynamics and Properties
- Catalytic Processes in Materials Science
- Chemical Looping and Thermochemical Processes
- Photoacoustic and Ultrasonic Imaging
- Optical Systems and Laser Technology
- Catalysis and Oxidation Reactions
- Blind Source Separation Techniques
- Image Processing Techniques and Applications
- Catalysis and Hydrodesulfurization Studies
- Wireless Networks and Protocols
- Optical Coherence Tomography Applications
- Advanced Image Processing Techniques
- Fuel Cells and Related Materials
University of Science and Technology of China
2013-2025
First Affiliated Hospital of Zhengzhou University
2024
Institute of Physics
2024
Qingdao University of Science and Technology
2021
Hefei University
2018
Hefei National Center for Physical Sciences at Nanoscale
2018
Collaborative Innovation Center of Chemistry for Energy Materials
2018
Microscale (United States)
2018
Suzhou Research Institute
2015
Zhejiang Normal University
2005-2006
Herein, we construct a novel electrocatalyst with Fe–Co dual sites embedded in N-doped carbon nanotubes ((Fe,Co)/CNT), which exhibits inimitable advantages towards the oxygen reduction reaction.
Methane, a major greenhouse gas and abundant carbon resource, presents significant challenges in catalysis due to its high symmetry thermodynamic stability, which tend cause over‐oxidation CO2. Traditional catalysts require temperatures pressures facilitate CH4 conversion, constrained by their rigid structures lack the flexibility needed for optimizing complex reaction steps. This study introduces novel Cu single atoms‐embedded liquid metal catalyst (Cu‐LMC) based on gallium alloys,...
The nucleation pathway determines the structures and thus properties of formed nanomaterials, which is governed by free energy intermediate phase during nucleation. amorphous structure, as one phases nucleation, plays an important role in modulating pathway. However, process mechanism crystal from still need to be fully investigated. Here, situ aberration-corrected high-angle annular dark-field scanning transmission electron microscopy (HAADF-STEM) employed conduct real-time imaging...
Abstract To gain a more meaningful understanding of bone regeneration, it is essential to select an appropriate assessment method. Micro-computed tomography (Micro-CT) widely used for regeneration because provides substantially higher spatial resolution. Dual-energy computed (DECT) ensure shorter scan time and lower radiation doses during quantitative evaluation. Therefore, in this study, DECT Micro-CT were evaluate regeneration. We created 18 defects the tibial plateau rabbits filled them...
A new intelligent method for signals recognition of electronic nose, based on support vector machine (SVM) classification, is presented. The SVM operates the principle structure risk minimization; hence a better generalization ability guaranteed. This paper discusses basic at first, and then uses it as classifier to recognize gas category. can classify complicated patterns achieve higher rate reasonably small size training sample set overcome disadvantages artificial neural networks....
Summary As users move around in wireless local area networks, they associate with different access points succession to maintain connectivity. Without the carefully designed association control policy, it may lead frequent handoffs and imbalanced load, which can potentially incur unacceptable delays poor throughput. While existing works this issue mainly focus on minimizing number of over time, paper, we propose a new scheme goal reducing frequency balancing load among points. The defined...
In order to reduce the noise in infrared image, gray-level histogram was smoothed by Bezier curve and obtained. One dimension stationary wavelet transform implemented curvature of histogram. Position peak values domain were adjusted from "fine-to-coarse" at all scales. The gray level values, which located scales, considered as segmentation thresholds. valley between peaks quantity levels. Optimal scale obtained a cost criterion. results experiment show that target can be segmented...
Infrared technology plays a crucial role in various fields. However, defocus blur occurs infrared images due to improper focusing, resulting undesirable blurring effects. In recent years, deep learning-based methods have achieved remarkable success image restoration. the spatial variability of blur, combined with low resolution and lack textural details images, still presents significant challenges for deblurring. this paper, we propose CNN-based neural network that employs dynamic large...
A new fast algorithm to segment man-made target from infrared image is given employing Bezier histogram and edge information. In order reduce computation burden, an efficient approach select region of interest (ROI) proposed based on prior-information. Thus a piece region, which contains be segmented, extracted original image. The gray level ROI smoothed by curve restrain noise in the ROI. obtained. Peaks curvature are detected obtained segmentation thresholds. An optimal threshold selected...
An identification approach of nonlinear optical dynamic systems, based on adaptive kernel methods which are modified version least squares support vector machine (LS-SVM), is presented in order to obtain the reference model for solving real time applications such as signal processing systems. The feasibility this demonstrated with computer simulation through identifying a Bragg acoustic-optical bistable system. Unlike artificial neural networks, possess prominent advantages: over fitting...