A5077094802- Distributed and Parallel Computing Systems
- Parallel Computing and Optimization Techniques
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Advanced Data Storage Technologies
- Medical Image Segmentation Techniques
- Scientific Computing and Data Management
- Image Retrieval and Classification Techniques
- Cloud Computing and Resource Management
- Brain Tumor Detection and Classification
- Genomics and Phylogenetic Studies
- Graph Theory and Algorithms
- Motor Control and Adaptation
- Algorithms and Data Compression
- Infrared Target Detection Methodologies
- CRISPR and Genetic Engineering
- High-Voltage Power Transmission Systems
- CCD and CMOS Imaging Sensors
- Pluripotent Stem Cells Research
- Sport Psychology and Performance
- Particle Detector Development and Performance
- Power Systems and Technologies
- Matrix Theory and Algorithms
- Advanced Data Compression Techniques
- Space Satellite Systems and Control
Huazhong University of Science and Technology
2016-2025
Chongqing Vocational Institute of Engineering
2025
Zhongnan Hospital of Wuhan University
2020-2025
Wuhan University
2011-2025
Beijing Institute of Optoelectronic Technology
2020-2024
Vrije Universiteit Amsterdam
2021-2024
State Key Laboratory of Inorganic Synthesis and Preparative Chemistry
2022-2024
Jilin University
2022-2024
Central South University
2023-2024
Yanshan University
2024
While content-based landmark image search has recently received a lot of attention and became very active domain, it still remains challenging problem. Among the various reasons, high diverse visual content is most significant one. It common that for same landmark, images with wide range appearances can be found from different sources landmarks may share similar sets images. As consequence, hard to accurately estimate similarities between purely based on single type feature. Moreover,...
Abstract “A Craftsman Must Sharpen His Tools to Do Job,” said Confucius. Nuclear detection and readout techniques are the foundation of particle physics, nuclear astrophysics reveal nature universe. Also, they being increasingly used in other disciplines like power generation, life sciences, environmental medical etc. The article reviews short history, recent development, trend techniques, covering Semiconductor Detector, Gaseous Scintillation Cherenkov Transition Radiation Readout...
Hepatocyte paraffin 1 (Hep Par 1), a murine monoclonal antibody, is widely used in surgical pathology practice to determine the hepatocellular origin of neoplasms. However, identity antigen for Hep unknown. The aim this study was characterize antigen. To identify antigen, immunoprecipitation isolate protein from human liver tissue, and distinct band detected at approximately 165 kDa. also present small intestinal but not several other non-liver tissues nor three carcinoma cell lines, Huh-7,...
There exists an increasing need for precision measurement & pointing control and extreme motion stability current future space systems, e.g., Ultra-Performance Spacecraft (UPS). Some notable technologies of realizing Ultra-Pointing (UP) ability have been developed particularly Ultra-accuracy Ultra-stability Ultra-agility (3U) spacecraft over recent decades. Usually, Multilevel Compound Pointing Control Techniques (MCPCTs) are deployed in aerospace engineering, especially astronomical...
Landmark image classification attracts increasing research attention due to its great importance in real applications, ranging from travel guide recommendation 3-D modelling and visualization of geolocation. While large amount efforts have been invested, it still remains unsolved by academia industry. One the key reasons is intra-class variance rooted diverse visual appearance landmark images. Distinguished most existing methods based on scalable search, we approach problem a new perspective...
UNet and its variations achieve state-of-the-art performances in medical image segmentation.In end-to-end learning, the training with high-resolution images achieves higher accuracy for segmentation.However, network depth, a massive number of parameters, low receptive fields are issues developing deep architecture.Moreover, lack multi-scale contextual information degrades segmentation performance due to different sizes shapes regions interest.The extraction aggregation features play an...
The metabolic signature identification of colorectal cancer is critical for its early diagnosis and therapeutic approaches that will significantly block progression improve patient survival. Here, we combined an untargeted analysis strategy based on internal extractive electrospray ionization mass spectrometry the machine learning approach to analyze metabolites in 173 pairs samples matched normal tissue build robust models diagnostic purposes. Screening independent validation signatures...
Abstract The Chinese mitten crab, Eriocheir sinensis H. Milne Edwards, 1853, is a migratory species critical to both aquatic ecosystems and aquaculture in China. We investigated the construction of migration passageways through floodgates examined length-weight relationships E. Yangtze River. In response declining numbers due fishing infrastructural barriers, we developed implemented two types crab at Sanchahe River Gate Nanjing, China: vertical made burlap cloth horizontal passageway...
Abstract In order to promote the construction of teaching innovation team in context informationization, this paper proposes a quality assessment model based on hierarchical analysis. A higher vocational college is selected as research object, and evaluation carried out using questionnaire method. The analysis software SPSS used calculate reliability student teacher questionnaire, different components are analyzed CIPP theory. Using association rules technique, peer were with level...
Polychlorinated naphthalene (PCN) concentrations in the soil at an e-waste recycling area Guiyu, China, were measured and associated human cancer risk due to e-waste-related exposures was investigated. We quantified PCNs agricultural used these with predictive equations calculate theoretical outdoor air. then calculated indoor air using attenuation factor local diet previously published models for contaminant uptake plants fruits. Potential risks of assessed multiple exposure pathways,...
Phototheranostic agents have thrived as prominent tools for tumor luminescence imaging and therapies. Herein, a series of organic photosensitizers (PSs) with donor-acceptors (D-A) are elaborately designed synthesized. In particular, PPR-2CN exhibits stable near infrared-I (NIR-I) emission, excellent free radicals generation phototoxicity. Experimental analysis calculations imply that small singlet-triplet energy gap (ΔES1-T1 ) large spin-orbit coupling (SOC) constant boost the intersystem...
Sparse Matrix-Vector multiplication (SpMV) is one of the most significant yet challenging issues in computational science area. It a memory-bound application whose performance mostly depends on input matrix and underlying architecture. Many researchers have paid more attentions exploring variety optimization techniques to SpMV. One promising respects how adapt storage format satisfy Alterative formats can largely lessen memory pressure, however, resources are often underutilized. Therefore,...
Inspired by the success of bag‐of‐words in text retrieval, bag‐of‐visual‐words and its variants are widely used content‐based image retrieval to describe visual content. Various weighting schemes have also been proposed integrate different yet complementary visual‐words. However, most these tend use fixed weight for every visual‐word extracted from query image, which may lose discriminative information. This study presents a novel combining method captures query‐specific weights visual‐words...
The application of rapid and accurate diagnostic methods can improve colorectal cancer (CRC) survival rates dramatically. Here, we used a non-targeted metabolic analysis strategy based on internal extractive electrospray ionization mass spectrometry (iEESI-MS) to detect metabolite ions associated with the progression CRC from 172 tissues (45 stage I/II CRC, 41 III/IV 86 well-matched normal tissues). A support vector machine (SVM) model 10 differential for differentiating early-stage was...
Rayleigh wave isolation using metamaterials is a research hotspot in the engineering community, yet development of relevant mitigation methods remains an open and challenging problem. Herein, we propose new type metasurface, known as engineered metagrating, which special metasurface buried soil plays role shielding surface waves. Moreover, total omnidirectional reflection characteristics subwavelength properties exhibited by proposed provide more flexible reference for measures practical...
There are deficiencies about traditional algorithms in speed and accuracy, so a new algorithm for edge detection is proposed. Firstly the source image decomposed by wavelet lifting transform, then modulus maximum used high-frequency information Canny operator low-frequency during detection. Lifting speeds decomposition; self-adaptive processing of update operators well reserves local structural feature information; when decomposed, column row transformations reduce requirement memory...
In recent years, the frequent occurrence of public health emergencies has affected people’s daily lives. response, this paper evaluates risk logistics terminal distribution and puts forward corresponding countermeasures. Firstly, summarizes relevant literature analyzes characteristics distribution. This constructs index system under for first time. Secondly, conducts a questionnaire survey on domestic e-commerce enterprise. paper, intuitionistic fuzzy entropy weight method is applied to...
Most studies on deception in soccer penalty kicks have focused the deceptive actions used by takers. However, it is worth noting that can also be played out goalkeepers. To examine effectiveness of goalkeepers' professional competition, we analysed 714 taken during matches English Premier League and German Bundesliga, spanning seasons from 2016-2017 to 2019-2020. We scored whether goalkeepers deception, if so, what type outcome kicking strategy taker. The results showed half kicks, resulting...
Surveillance video service (SVS) is one of the most important services provided in a smart city. It very for utilization SVS to provide design efficient surveillance analysis techniques. Key frame extraction simple yet effective technique achieve this goal. In applications, key frames are typically used summarize content. and essential extract accurately efficiently. A novel approach proposed from traffic videos based on GPU (graphics processing units) ensure high efficiency accuracy. For...
Glioma is one of the most widespread and intense forms primary brain tumors. Accurate subcortical segmentation essential in evaluation gliomas which helps to monitor growth assists assessment medication effects. Manual needed a lot human resources on Magnetic Resonance Imaging (MRI) data. Deep learning methods have become powerful tool learn features automatically medical imaging applications including tissue segmentation, liver tumor segmentation. The shape gliomas, structure, location are...