A5011013347- Advanced Neural Network Applications
- Metamaterials and Metasurfaces Applications
- Infrared Target Detection Methodologies
- Remote Sensing in Agriculture
- Satellite Communication Systems
- Remote-Sensing Image Classification
- Hybrid Renewable Energy Systems
- Industrial Vision Systems and Defect Detection
- Remote Sensing and LiDAR Applications
- Antenna Design and Analysis
- Radar Systems and Signal Processing
- Tensor decomposition and applications
- Advanced Image and Video Retrieval Techniques
- Epigenetics and DNA Methylation
- Gene expression and cancer classification
- Spacecraft and Cryogenic Technologies
- Remote Sensing and Land Use
- Terahertz technology and applications
- Advanced Antenna and Metasurface Technologies
- GNSS positioning and interference
- Bioinformatics and Genomic Networks
- Recommender Systems and Techniques
- Millimeter-Wave Propagation and Modeling
- Integrated Energy Systems Optimization
- Brain Tumor Detection and Classification
Hebei University of Science and Technology
2022-2024
Advances in single-cell biotechnologies have generated the RNA sequencing (scRNA-seq) of gene expression profiles at cell levels, providing an opportunity to study cellular distribution. Although significant efforts developed their analysis, many problems remain studying types distribution because heterogeneity, high dimensionality, and noise scRNA-seq. In this study, a multi-view clustering with graph learning algorithm (MCGL) for scRNA-seq data is proposed, which consists learning, type...
The accumulated DNA methylation and gene expression provide a great opportunity to exploit the epigenetic patterns of genes, which is foundation for revealing underlying mechanisms biological systems. Current integrative algorithms are criticized undesirable performance because they fail address heterogeneity data, intrinsic relations among them. To solve this issue, novel multi-view clustering with self-representation learning low-rank tensor constraint (MCSL-LTC) proposed integration...
Object detection and recognition in high-resolution remote sensing images captured by satellite optical sensors from a bird's-eye view perspective has been challenging task with considerable practical value. Unlike natural scenes, several inherent characteristics of scenes including irregular scale variations orientation, intricate contextual textures diverse ground materials domain gaps, dense distribution tiny fuzzy objects have severely hampered the development accuracy for geospatial...
In this study, we introduce a genetic algorithm (GA) into the catenary theory model to achieve automatic and inverse design for terahertz (THz) metasurface absorbers. The GA method was employed by seeking optimal dispersion distributions broadband impedance matching. A THz dual-metasurface absorber designed using proposed approach. exhibits an absorbance exceeding 88% at 0.21-5 THz. Compared traditional method, can reduce time consumption find result high performance. investigations provide...
Detection of small objects in Unmanned Aerial Vehicle (UAV) images, which contain a large number with extremely pixels, has been major challenge over the last few decades. Owing to lack sufficiently detailed representation object features, conventional detectors based on deep learning are unsatisfactory when detecting objects. Meanwhile, flight altitude and shooting angle drone always changing, leads an uneven dispersion multiple varying density In response issues mentioned above, novel...
Since the fingerprints of numerous crucial biologic materials can be identified by terahertz (THz) spectroscopy, THz sensing have become an important approach biological and medical detections. Particularly, benefit from excellent capability metasurface, strong interactions between metasurface waves realized, thus with high sensitivity becomes reality. However, common configuration metasurface-based sensor is composed metallic subwavelength structure. Due to inherent resistive loss metal, it...
Driven by improvements in satellite internet and Low Earth Orbit (LEO) navigation augmentation, the integration of communication has become increasingly common, further improving capabilities based on constellations a significant challenge. In context existing Orthogonal Frequency Division Multiplexing (OFDM) systems, this paper proposes new ranging signal design method an LEO constellation. The Satellite Communication Constellation Block-type Pilot (LSCC-BPR) is superimposed block-type form...
Due to unfavorable factors such as cluttered spatial and temporal distribution of multiple types targets, occlusion background objects different shapes, blurring feature information by inclement weather, the low detection accuracy in complex traffic scenarios has been a troubling issue. Regarding above-mentioned issues, paper proposes lightweight real-time network augment multi-scale object perception capabilities while ensuring speed. First, we construct novel global extraction (GFE)...