A5081757519- Flood Risk Assessment and Management
- Precipitation Measurement and Analysis
- Anomaly Detection Techniques and Applications
- Meteorological Phenomena and Simulations
- Advanced Image and Video Retrieval Techniques
- Spectroscopy Techniques in Biomedical and Chemical Research
- Network Security and Intrusion Detection
- Advanced SAR Imaging Techniques
- Advanced Malware Detection Techniques
- Optical Systems and Laser Technology
- Identification and Quantification in Food
- Image Retrieval and Classification Techniques
- Spectroscopy and Chemometric Analyses
- Radar Systems and Signal Processing
- Reinforcement Learning in Robotics
- Human Pose and Action Recognition
- Image Processing and 3D Reconstruction
Sichuan University
2024
Nanjing University of Information Science and Technology
2023
China Meteorological Administration
2023
Institute of Computing Technology
2008
In recent years, with the rapid development of human society, more and complex tasks have emerged that require deep learning to automatically extract abstract feature representations from a large amount data, use reinforcement learn best strategy complete task. Through combination learning, end-to-end input output can be achieved, substantial breakthroughs been made in many planning decision-making systems infinite states, such as games, particular, AlphaGo, robotics, natural language...
Texts in web pages, images and videos contain important clues for information indexing retrieval. Most existing text extraction methods depend on the language type appearance. In this paper, a novel universal method of image is proposed. A coarse-to-fine location implemented. Firstly, multi-scale approach adopted to locate texts with different font sizes. Secondly, projection profiles are used refinement step. Color-based k-means clustering segmentation. Compared grayscale which most...
Precipitation nowcasting has become an essential technology underlying various public services ranging from weather advisories to citywide rainfall alerts. The main challenge facing many algorithms is the high non-linearity a... | Find, read and cite all research you need on Tech Science Press
Radar echo extrapolation based on deep learning is an important method for conducting precipitation nowcasting. sequence data have spatio-temporal correlations and non-rigid movements of the radar echo. According to characteristics data, this study proposes a new fusion neural network called STUNNER. STUNNER implements two-stream strategy extract fuse spatial temporal signals. Specifically, it uses novel cross-network embedding achieve efficient fusion; integrates differencing trajectory...
The data obtained from Raman spectroscopy is characterized by high dimension and complexity. In this study, dimensional reduction techniques, including LASSO, random forest, principal component analysis, were employed to refine the datasets. An optimal model was then constructed using Artificial Neural Networks, which achieved an average accuracy of 0.943 when subjected 10 times 5-fold cross-validation. Based on feature importance ranking map four algorithms, species differences five...