A5072975038- Advanced Optical Sensing Technologies
- Acute Kidney Injury Research
- Cardiac Arrest and Resuscitation
- Bayesian Modeling and Causal Inference
- Advanced Optical Imaging Technologies
- Autopsy Techniques and Outcomes
- Advanced Fluorescence Microscopy Techniques
- Manufacturing Process and Optimization
- Time Series Analysis and Forecasting
- Experimental Learning in Engineering
- Data Quality and Management
- Image Processing Techniques and Applications
- Image Processing and 3D Reconstruction
- Mesoporous Materials and Catalysis
- Acute Ischemic Stroke Management
- Optical Coherence Tomography Applications
- Layered Double Hydroxides Synthesis and Applications
- Thermal and Kinetic Analysis
- Fault Detection and Control Systems
- Advanced Vision and Imaging
- Trauma, Hemostasis, Coagulopathy, Resuscitation
- Magnesium Oxide Properties and Applications
- Thermal properties of materials
- Random lasers and scattering media
- Advanced Image Processing Techniques
Tsinghua University
2021-2024
South China University of Technology
2013-2014
Multi-spectral imaging is a fundamental tool characterizing the constituent energy of scene radiation. However, current multi-spectral video cameras cannot scale up beyond megapixel resolution due to optical constraints and complexity reconstruction algorithms. To circumvent above issues, we propose tens-of-megapixel handheld videography approach (THETA), with proof-of-concept camera achieving 65-megapixel 12 wavebands within visible light range. The high performance brought by multiple...
Causal discovery in time-series is a fundamental problem the machine learning community, enabling causal reasoning and decision-making complex scenarios. Recently, researchers successfully discover causality by combining neural networks with Granger causality, but their performances degrade largely when encountering high-dimensional data because of highly redundant network design huge graphs. Moreover, missing entries observations further hamper structural learning. To overcome these...
Self‐assembled γ‐ Al 2 O 3 with hierarchical structure was successfully obtained via thermolysis of γ‐boehmite (γ‐ AlOOH ) particles, which hydrothermally derived from aluminum ammonium sulfate hydrate ( NH 4 SO ·12 H ), urea, poly‐glycol PEG )‐2000, and deionized water. SEM observations indicate that the as‐synthesized has flower‐like structure, composing needle‐like building blocks. After calcinations at 800°C, it converts to cubic retained by a topotactical process. N adsorption...
Platelike α‐ Al 2 O 3 powder was obtained at 850°C by thermal decomposition of ammonium aluminum carbonate hydroxide precursor, which treated hydrofluoric acid. The results showed the as‐prepared precursors experienced via three steps, adsorption physical water, dehydration crystalline and activation energies above steps were calculated using Coats–Redfern method. Meanwhile, intermediate ( NH 4 ) AlF 6 played an important role in decreasing energy phase transformation. Moreover, conductivity...
Causal discovery in time-series is a fundamental problem the machine learning community, enabling causal reasoning and decision-making complex scenarios. Recently, researchers successfully discover causality by combining neural networks with Granger causality, but their performances degrade largely when encountering high-dimensional data because of highly redundant network design huge graphs. Moreover, missing entries observations further hamper structural learning. To overcome these...
Due to limited spatial bandwidth, one has compromise between large field of view and high resolution in both photography microscopy. This dilemma largely hampers revealing fine details global structures the target scene simultaneously. Recently, a mainstream method is formed by utilizing multiple sensors for synchronous acquisition across different sub-FOVs with stitching patches according position cameras. Various inpainting algorithms have been proposed eliminate intensity discontinuities,...
Abstract Multi-spectral imaging is one of the fundamental tools characterizing constituent energy scene radiation, and can help non-destructive material identification quantification. A compact multi-spectral video camera covering a large field view with high resolution be wide applications in scientific discoveries industrial inspections. However, current cameras cannot scale up beyond megapixel due to physical constraints from optical design complexity reconstruction algorithm. In order...
ABSTRACT Cardiac surgery-associated Acute Kidney Injury (CSA-AKI) is a significant complication that often leads to increased morbidity and mortality. Effective CSA-AKI management relies on timely diagnosis interventions. However, many cases of are detected too late. Despite the efforts novel biomarkers data-driven predictive models, their limited discriminative generalization capabilities along with stringent application requirements pose challenges for clinical use. Here we incorporate...
Abstract Cardiac surgery-associated Acute Kidney Injury (CSA-AKI) is a significant complication that often leads to increased morbidity and mortality. Effective CSA-AKI management relies on timely diagnosis interventions. However, many cases of are detected too late. Despite the efforts novel biomarkers data-driven predictive models, their limited discriminative generalization capabilities along with stringent application requirements pose challenges for clinical use. Here we incorporate...
This paper proposes key points of precipitation calibration and verification, designs an automatic system based on experiment needs. To design efficient system, this investigates monitor devices standard verification regulations published from China Meteorological Administration. Afterwards, a newly type relevant demands, which takes information management deadlock into consideration. The proposed can finish process automatically complete required management, to largely extent enhance the...
This paper investigate a newly fault diagnosis system and trainee based on 3D draft software. Compared to traditional system, established software enables user easily control manipulating aware of rate process. In this paper, it firstly lists advantage disadvantage secondly introduces practical application, lastly discusses benefit when combines in diagnosis.