A5038747278- Advanced Graph Neural Networks
- Image and Signal Denoising Methods
- Digital Filter Design and Implementation
- PAPR reduction in OFDM
- Complex Network Analysis Techniques
- Wireless Signal Modulation Classification
- Music and Audio Processing
- Remote-Sensing Image Classification
- Music Technology and Sound Studies
- Image Retrieval and Classification Techniques
- Energy Efficient Wireless Sensor Networks
- Time Series Analysis and Forecasting
- Advanced SAR Imaging Techniques
- Intensive Care Unit Cognitive Disorders
- Advanced Numerical Analysis Techniques
- Image and Video Quality Assessment
- Advanced Image Processing Techniques
- Video Surveillance and Tracking Methods
- Spectroscopy and Chemometric Analyses
- Traffic Prediction and Management Techniques
- Remote Sensing and Land Use
- Epigenetics and DNA Methylation
- Photoacoustic and Ultrasonic Imaging
- Bayesian Modeling and Causal Inference
- Image Processing Techniques and Applications
Air Force Medical University
2022-2025
Xijing Hospital
2022-2025
China Jiliang University
2024
Guilin University of Electronic Technology
2012-2023
Anhui University of Technology
2010-2023
Chongqing Medical University
2023
University of Science and Technology of China
2022
Qingdao University
2022
China University of Mining and Technology
2020
Xidian University
2014-2019
The electrocardiogram (ECG) has always been an important biomedical test to diagnose cardiovascular diseases. Current approaches for ECG monitoring are based on body attached electrodes leading uncomfortable user experience. Therefore, contactless drawn tremendous attention, which however remains unsolved. In fact, cardiac electrical-mechanical activities coupling in a well-coordinated pattern. this paper, we achieve by breaking the boundary between mechanical and electrical activity....
Neonatal anesthesia-related neurological impairments are of significant concern, closely linked to oligodendrocyte dysfunction. However, there is a notable temporal discrepancy between the sustained development oligodendrocytes (myelination) and short-term vulnerability anesthesia exposures. Given rise in iron demand by during neonatal period, our objective was clarify potential roles underlying mechanisms homeostasis, particularly focusing on transferrin receptor 1 (TfR1), governing...
Traditional research into the arts has almost always been based around subjective judgment of human critics. The use data mining tools to understand art great promise as it is objective and operational. We investigate distribution music from world: geographical ethnomusicology. cast problem training a machine learning program predict origin pieces music. This technically interesting features both classification regression, because spherical geometry surface Earth. Because these...
Radar signal recognition plays a crucial role in modern electronic reconnaissance systems. With the increasing complexity of electromagnetic environments, radar signals are susceptible to noise interference under low signal-to-noise ratio (SNR) conditions, posing challenge accurate recognition. To address this issue, we propose multilayer decomposition denoising empowered convolutional neural network (CNN) for Specifically, original first processed by denoising, which consists variational...
Photoacoustic (PA) imaging provides unique advantages in peripheral vascular due to its high sensitivity hemoglobin. Nevertheless, limitations associated with handheld or mechanical scanning by stepping motor techniques have precluded photoacoustic from advancing clinical applications. As applications require flexibility, affordability, and portability of equipment, current systems developed for usually use dry coupling. However, it inevitably induces uncontrolled contact force between the...
Realizing accurate prediction of base station traffic and effectively controlling the entire network has become a major problem that needs to be solved urgently in rapidly developing mobile communications environment. We propose method based on STL-LSTM model, introduce Seasonal Trend decomposition using Loess (STL) robust local weighted regression achieve smoothness. By this method, trend, period, noise data are separately decomposed efficient use data. Then paper introduces long-term...
In this study, the lifting scheme is first employed to design two-channel biorthogonal graph filter bank. The condition parameterised by imposing a single-level structure on analysis and synthesis kernels. Based parametric structure, two kernels are separately optimised constrained quadratic programming. obtained banks of structurally perfect reconstruction. Numerical results comparison included show proposed algorithm can lead with improved performance.
In this paper we present a study on music mood classification by using only lyrics information. Specially considering the Chinese songs, word-segmentation has caused intolerable errors and inadequate use of Our work proposes to bag-of-character features instead bag-of-word avoid word segmentation error, which makes more inaccurate. Further more, DBN trains useful automatically can make With experiments 1200 songs collected, demonstrate that our high level trained joint perform much better...
This paper presents a color–texture descriptor based on the local mapped pattern approach for classification under different lighting conditions. The proposed descriptor, namely extended color (ECLMP), considers magnitude of vectors inside RGB cube to extract information from images. These features are combined with texture luminance image in multiresolution fashion get ECLMP feature vector. robustness method is evaluated using RawFooT, KTH-TIPS-2b, and USPtex databases. experimental results...