A5100575513- Remote-Sensing Image Classification
- Topic Modeling
- Clinical Nutrition and Gastroenterology
- Vehicle emissions and performance
- Aerosol Filtration and Electrostatic Precipitation
- Advanced Image and Video Retrieval Techniques
- Catalytic Processes in Materials Science
- Human Mobility and Location-Based Analysis
- E-commerce and Technology Innovations
- Ideological and Political Education
- Laser-Ablation Synthesis of Nanoparticles
- Child Nutrition and Feeding Issues
- Image Processing Techniques and Applications
- Image Retrieval and Classification Techniques
- Optical Wireless Communication Technologies
- Environmental remediation with nanomaterials
- Metabolism and Genetic Disorders
- Text and Document Classification Technologies
- Phosphorus and nutrient management
- COVID-19 diagnosis using AI
- Domain Adaptation and Few-Shot Learning
- Ammonia Synthesis and Nitrogen Reduction
- Face recognition and analysis
- Automated Road and Building Extraction
- Power Quality and Harmonics
Wuhan University of Technology
2025
Nankai University
2024-2025
Ocean University of China
2024
Beijing Institute of Graphic Communication
2023-2024
Shanghai Jinyuan Senior High School
2024
National University of Defense Technology
2024
Shanghai Electric (China)
2024
Yunnan University
2024
Deyang Stomatological Hospital
2023
University of Toronto
2023
The foundation model has recently garnered significant attention due to its potential revolutionize the field of visual representation learning in a self-supervised manner. While most models are tailored effectively process RGB images for various tasks, there is noticeable gap research focused on spectral data, which offers valuable information scene understanding, especially remote sensing (RS) applications. To fill this gap, we created first time universal RS model, named SpectralGPT,...
Multiple active sites have been confirmed to exist in the Cu-SSZ-13, and three types of reached a consensus. To accurately simulate reaction kinetics NH3-SCR, constructing global kinetic model with responsible for NH3 storage is key element, moreover, precisely modeling ammonia adsorption desorption most basic core. In this study, several TPD experiments were carried out at various temperatures, presence was demonstrated effects temperature on explored. Then, characteristics different...
Pulmonary hypertension syndrome (PHS) is a poultry disease that causes significant economic losses in broilers.Portal and liver cirrhosis can cause ascites formation.Disturbance of mitochondrial dynamics several diseases; however, its mechanism action PHS not yet fully understood.In this research, 210 broilers were split randomly into two groups: control PHS.Broilers the group injected with normal saline those CM-32 cellulose particles at 20 days age.Transmission electron microscopy (TEM)...
Abstract Fisheye camera calibration is an essential task in photogrammetry. However, previous patterns and the robustness of adjoint processing methods are limited due to fisheye distortion various lighting. This problem leads additional manual intervention data collection. Moreover, it arduous accurately detect board target under fisheye's distortion. To increase this task, we present a novel encoded “Meta‐Board” learning‐based detection method. Additionally, automatic image...
With the rapid development of nanotechnology, synthesis and properties new nanomaterials in field inorganic chemistry have attracted much attention. In this study, method, structural characteristics optical, electrochemical magnetic molybdenum oxide nanosheets were systematically studied. Molybdenum synthesized by solvothermal their morphology crystal structure deeply analyzed means X-ray diffraction (XRD). The results show that two-dimensional lamellar structure, excellent crystallinity...
The task of text summarization aims to provide highly condensed summaries long textual information, with the perfect summary being both precise and concise. In recent years, there has been extensive research on brevity summaries, but these methods still have significant room for improvement in ROUGE scores, especially when beam width is increased. We propose a new model called DC (Dual-Level Contrastive Learning), which combines contrastive learning data augmentation, design scoring function...
Architecture plays an important role in deciding the performance of deep neural networks. However, search for optimal architecture is often hindered by vast space, making it a time-intensive process. Recently, novel approach known as training-free (NAS) has emerged, aiming to discover ideal without necessitating extensive training. Training-free NAS leverages various indicators selection, including metrics such count linear regions, density per-sample losses, and stability finite-width...
Optical imaging of space targets using ground-based or space-based telescopes is typically affected by complex noise. Due to the sparse features and limited data, denoising performance star images often suboptimal. In this paper, we propose a lightweight zero-shot image framework featuring an improved 3-layer U-Net backbone, which can efficiently complete task without dataset. This network extracts feature information through two pair down-sampling up-sampling layers, as well several...
Data on the relationship between body composition (BC) and physical activity (PA) in children with intestinal failure (IF) are lacking. The objectives were to collect data PA BC IF, both parenterally enterally fed, assess BC.Cross-sectional study 5-18 years IF including those receiving parenteral nutrition (PN) fully fed. levels measured using accelerometry. was by dual-energy X-ray absorptiometry. compared age- sex-matched population norms t tests. Regression analysis assessed...
The increasing penetration of renewable energy resources based on power electronic devices results in levels harmonic distortion. It is necessary to improve the monitoring and control ability. performance Prony algorithm can be promised if order set half window length, but this will introduce many pseudo modes which interfere mechanism screening. To solve problem above, paper proposes a detection clustering method from noisy signal. exactly existed harmonics are adaptively detected using...
As an important part of the “Five Education,” labor education is a practical activity for cultivating values, skills, and spirit (also named craftsman spirit). This article points out importance integrating into process “funding educating people” in applied colleges universities. It also explores role as starting point from three aspects spirit. provides innovative path to fund educate people.
Traditional K-Means algorithm is not only strongly dependent on cluster center, but also difficult to determine the optimal center. The determination of clustering center very important for subsequent analysis. Therefore, in this paper, aiming at key problem that reliability determined by improved based simulated Anneal-KNN tested using questionnaire Star collect data sets. characteristic with labels generated k-means trained anneal-KNn algorithm. annealing seeks Knn parameter combination...