A5070470699- Advanced Image Fusion Techniques
- Remote-Sensing Image Classification
- Remote Sensing in Agriculture
- Remote Sensing and Land Use
- Biosensors and Analytical Detection
- Advanced biosensing and bioanalysis techniques
- Remote Sensing and LiDAR Applications
- Advanced Biosensing Techniques and Applications
- Urban Heat Island Mitigation
- Image and Signal Denoising Methods
- Satellite Image Processing and Photogrammetry
- Food Industry and Aquatic Biology
- Indoor and Outdoor Localization Technologies
- Cryospheric studies and observations
- Climate change and permafrost
- Calibration and Measurement Techniques
- Soil Geostatistics and Mapping
- Stochastic Gradient Optimization Techniques
- Advanced Neural Network Applications
- Machine Learning and ELM
- Context-Aware Activity Recognition Systems
- Fire effects on ecosystems
- Energy Efficient Wireless Sensor Networks
Pain and Rehabilitation Medicine
2025
Yancheng First People's Hospital
2025
Nantong University
2025
Tongji University
2019-2024
Shanghai Skin Disease Hospital
2023
Wuhan University
2021
Fluorescent lateral flow immunoassay (LFA) systems are versatile tools for sensitive and quantitative detection of disease markers at the point care. However, traditional fluorescent nanoparticle-based immunoassays not visible under room light, necessitate an additional reader, lack flexibility different application scenarios. Herein, we report a dual-readout LFA system rapid C-reactive protein (CRP) in clinical samples. The relied on aggregation-induced emission nanobeads (AIENBs)...
Landsat surface temperature (LST) is an important physical quantity for global climate change monitoring. Over the past decades, several LST products have been produced by satellite thermal infrared (TIR) bands or land models (LSMs). Recent research has increased spatio-temporal resolution of to 2 km, hourly based on Geostationary Operational Environmental Satellites (GOES)-R Advanced Baseline Imager (ABI) data. The spatial however, insufficient monitoring at regional scale. This paper...
The thermal infrared band of the moderate resolution imaging spectroradiometer (MODIS) onboard Terra/Aqua satellite can provide daily, 1 km land surface temperature (LST) observations. However, due to influence cloud contamination, spatial gaps are common in LST product, restricting its application greatly at regional scale. In this article, deal with challenge large (especially complete data loss) MODIS for local monitoring, a filling then spatio-temporal fusion (FSTF) method is proposed,...
It is challenging to acquire satellite sensor data with both fine spatial and temporal resolution, especially for monitoring at global scales. Among the widely used sensors, Landsat have a coarse but while moderate resolution imaging spectroradiometer (MODIS) resolution. One solution this problem blend two types of using spatio-temporal fusion, creating images However, reliable geometric registration acquired by different sensors prerequisite fusion. Due potentially large differences between...
Intra-articular drug injection is an effective treatment for osteoarthritis (OA). However, the rapid clearance of drugs from joint cavity results in low utilization and suboptimal therapeutic outcomes. This study describes MXene-based cartilage-adhesive microspheres photothermal-controlled hydrophobic release bone marrow mesenchymal stem cell (BMSC) delivery. Nano cationic amylose (NCA) was obtained by modifying with glycidyltrimethylammonium chloride (GTAC), Kartogenin (KGN) encapsulated...
Spatiotemporal fusion is a technique applied to create images with both fine spatial and temporal resolutions by blending different resolutions. Spatial unmixing (SU) widely used approach for spatiotemporal fusion, which requires only the minimum number of input images. However, ignorance variation in land cover between pixels common issue existing SU methods. For example, all coarse neighbors local window are treated equally model, inappropriate. Moreover, determination appropriate clusters...
Developing a quantum dot (QD) nanobeads-based lateral-flow assay (LFA) is of great importance for achieving ultrasen-sitive, quantitative, and rapid testing clinical specimens at the point-of-care. However, QD nanobeads currently used in LFA still have drawbacks such as large particle size, which leads to high background, easy aggregation, poor fluidity. To address these issues, promising strategy utilize plasmonic energy transfer from gold nanoparticles (AuNPs) QDs order create smaller size...
In the last decade, deep learning has attracted much attention from both academia and industry. As one of important hyperparameters, rate greatly affects speed convergence learning. existing approaches, is commonly adjusted with training process, however, does not consider model accuracy after each epoch. This problem even more complex in distributed approach, which involves multiple machines for this study, we propose an adaptive updating strategy (DALU) After completing epoch,...
Abstract The Landsat-8 Operational Land Imager (OLI), together with the Landsat-9 OLI2 sensors, provides important optical data for various applications. Due to frequent cloud cover, obtained Landsat images always contain different degrees of spatial information loss. Although great efforts have been made remove clouds in remote sensing recent decades, there still exists a large challenge, that is, land cover changes between target cloudy and auxiliary cloud-free images, which limits greatly...
It is commonplace for people to perform various kinds of activities in groups. The recognition human groups importance many applications including crowd evacuation, teamwork coordination, and advertising. Existing group approaches require snapshots trajectories, which often impossible the reality due different data collection start time frequency, inherent deviations devices. This study proposes an approach synchronize recognition. All people's trajectory are aligned by using interpolating....
It is always challenging to acquire satellite sensor data with both fine spatial and temporal resolution, especially for monitoring at global scales. Amongst the widely used satellites, Landsat have a coarse but while MODIS resolution. One solution this problem blend two types of using spatio-temporal fusion, creating images Reliable geometric registration acquired by different sensors prerequisite spatiotemporal fusion. Due potentially large differences between resolutions be fused, process...