A5081082156- Advanced Vision and Imaging
- Image and Video Quality Assessment
- Catalytic Processes in Materials Science
- Computer Graphics and Visualization Techniques
- Industrial Vision Systems and Defect Detection
- Image and Signal Denoising Methods
- Machine Learning in Materials Science
- Catalysis and Oxidation Reactions
- Visual Attention and Saliency Detection
- Advanced Image Processing Techniques
- Image Processing Techniques and Applications
- Advanced Computational Techniques and Applications
- Data Stream Mining Techniques
- Infrared Target Detection Methodologies
- Nanoplatforms for cancer theranostics
- Data Quality and Management
- Thermochemical Biomass Conversion Processes
- Simulation and Modeling Applications
- Advanced Image Fusion Techniques
- Advanced Measurement and Detection Methods
- Text and Document Classification Technologies
- Advanced Optical Imaging Technologies
- Advanced Nanomaterials in Catalysis
- Advanced Image and Video Retrieval Techniques
- Orbital Angular Momentum in Optics
Zhejiang University
2024-2025
Changchun University of Science and Technology
2012-2025
Shanghai University of Traditional Chinese Medicine
2024
Fritz Haber Institute of the Max Planck Society
2024
Hangzhou Medical College
2024
Zhejiang Provincial People's Hospital
2024
Anhui Medical University
2024
China University of Mining and Technology
2014-2023
China University of Petroleum, Beijing
2023
Linyi University
2018
Abstract Triple‐negative breast cancer (TNBC) is a highly aggressive and uncommon subtype of with poor prognosis. It crucial to prioritise the creation nanotherapeutic method that selective actively targeting TNBC. This study explores new nanosystem, Cu 9 S 8 ‐SNAP@PM (C‐S@P), composed ‐SNAP coated platelet membrane (PM). The purpose this nanosystem cure TNBC using multimodal therapy. utilisation PM‐coated nanoparticles (NPs) enables active targeting, leading efficient accumulation C‐S@P...
The AI approach provides new understanding of the formation oxygen vacancies on surface TM-doped cerium systems.
Understanding the structures of oxygen vacancies in bulk ceria is crucial as they significantly impact material's catalytic and electronic properties. The complex interaction between Ce3+ ions presents challenges characterizing ceria's defect chemistry. We introduced a machine learning-assisted cluster-expansion model to predict energetics defective configurations accurately within ceria. This effectively samples configurational spaces, detailing vacancy across different temperatures...
In the field of saliency detection for panoramic images, traditional equirectangular and cube projection methods in image often face issues like distortion discontinuities, impacting accuracy. This study introduces an innovative resampling technique a GCN-ELM joint model. By evenly distributing spherical pixels onto 2D plane, method reduces pixel redundancy from projection. Experimental results show that this approach significantly enhances performance compared to existing methods.
Abstract Extra chemical order within periodic crystalline lattices offers a promising approach for designing materials with emergent functionalities. However, achieving tunable extra in remains challenging. Here, it is found that the vacancy cation‐deficient half‐Heusler crystals V 1‐ δ CoSb can be tuned from long‐range (LRO) to short‐range (SRO), or vice versa. The LRO and SRO configurations are uncovered by scanning transmission electron microscopy analysis Monte Carlo simulations....
Particle morphology, including size and shape, is an important factor that significantly influences the physical chemical properties of biomass material. Based on image processing technology, a method was developed to process sample images, measure particle dimensions, analyse shape distributions knife-milled wheat straw, which had been preclassified into five nominal groups using mechanical sieving approach. Considering great variation from micrometer millimeter, powders greater than 250 μ...
An important index to evaluate the process efficiency of coal preparation is mineral liberation degree pulverized coal, which greatly influenced by particle size and shape distribution acquired image segmentation. However, agglomeration effect fine powders edge granular images caused scanning electron microscopy affect precision In this study, we propose a novel segmentation method derived from mask regional convolutional neural network based on deep learning for recognizing powders....
This paper proposes an improved adaptive density-based spatial clustering of applications with noise (DBSCAN) algorithm based on genetic and MapReduce parallel computing programming framework to improve the poor effect low efficiency DBSCAN algorithm, which due experiential solving parameters. The size Intensive Interval Threshold minPts Scan Radius Eps would be rational planned by iterative optimization, it is secondary statute processing similarity variability dataset efficient power...
Oxygen vacancies (V O 's) are of paramount importance in influencing the properties and applications ceria (CeO 2 ).
Our study focuses on the analysis of main determinants which have an effect trade and current account balance. We empirically investigate money supply (M2), real exchange rate, income, inflation, investment, house-hold consumption expenditure balance WAEMU for period 1980-2013. The examination monetary absorption approaches to payments motivate inclusion income (M2). conventional approach elasticity motivates usage rates. adopt panel VAR method additionally includes a simulation variance...
Background Pulse width, which can reflect qi, blood excess, and deficiency, has been used for diagnosing diseases determining the prognosis in traditional Chinese medicine (TCM). This study aimed to devise an objective method measure pulse width based on array diagram diagnosis. Methods The channel 6, region wherein wave signal is strongest, located middle of sensor at guan position cunkou during data collection. Therefore, main (h 1 ) time was collected from 6 through calculation. left h...
Oxygen vacancies (VO's) are of paramount importance in influencing the properties and applications ceria (CeO2). Yet, comprehending distribution nature VO's poses a significant challenge due to vast number electronic configurations intricate many-body interactions among polarons (Ce3+'s). In this study, we employed combination LASSO regression machine learning, conjunction with cluster expansion model first-principles calculations decouple Ce3+'s VO's, thereby circumventing limitations...
An electrostatic self-assembled multilayer film has successfully been prepared by alternating adsorption of a wheel-shaped nanoporous isopolyoxomolybdate and bipolar hemicyanine derivative, as monitored absorption spectroscopy. The square roots second-harmonic intensities the exhibit quadratic dependence on thickness up to 10 layers. average titled angle nonlinear optical chromophores substrate normal is derived be 34° polarized generation measurements.
A method of object detecting based on local contour learning and matching is proposed. Firstly, the representative images are obtained through unsupervised clustering to be as templates. The information template extracted generalized feature, at same time, codebook dictionary built up. Secondly, dictionary, using simple sliding-window mechanism vote algorithm select initial candidate windows, final windows got from feature matching. Experimental results demonstrate that our proposed approach...
This paper has been withdrawed due to major technical problems. --------------------------------------------------------------------- presents a consistent hashing data optimize multiple copy distributed clustered storage placement strategy, using technology create virtual node and aliquots area ensure the balanced distribution of storage. With speed processing accelerated, it is possible for clusters actual required complete expansion, development adaptive optimization. Experiments show...
Novel polymer nanocomposites of methacryloyloxy ethyl dimethyl hexadecyl ammonium bromide-modified montmorillonite (O-MMt) with acrylamide/sodium p-styrene sulfonate/methacryloyloxy bromide (ASD/O-MMt) were synthesized via in situ polymerization. The molecular structures the materials confirmed using Fourier-transform infrared and 1H-nuclear magnetic resonance spectroscopy. X-ray diffractometry transmission electron microscopy revealed well-exfoliated dispersed nanolayers matrix, scanning...
For orbital angular momentum (OAM) recognition in atmosphere turbulence, how to design a self-adapted model is challenging problem. To address this issue, an efficient deep learning framework that uses derived extreme machine (ELM) has been put forward. Different from typical neural network methods, the provided analytical can match different OAM modes automatically. In selection phase, multilayer ELM adopted quantify laser spot characteristics. parameter optimization fast iterative...
The study of microstructural evolution in ternary Sn-Bi-Ag solder alloys is critical due to its direct impact on the mechanical properties these low-temperature materials. This research compares solidification and deformation behaviors two such alloys, Sn-10Bi-1Ag Sn-57Bi-1Ag, shed light influences bismuth (Bi) content variations. Experimental results indicate that increasing Bi alters process degree undercooling. In alloy, eutectic reaction produces plate-like Ag3Sn with a predominant...
Scanning electron microscopy (SEM) plays an important role in the intuitive understanding of microstructures because it can provide ultrahigh magnification. Tens or hundreds images are regularly generated and saved during a typical imaging process. Given subjectivity microscopist's focusing operation, blurriness is distortion that debases quality micrographs. The selection high-quality micrographs using subjective methods expensive time-consuming. This study proposes new no-reference...