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Chapter and Conference Paper
DOA Estimation of Special Non-uniform Linear Array Based on Quantum Honey Badger Search Algorithm
Aiming at the current lack of research related to the application of special non-uniform linear arrays in impulsive noise and multi-coherent signal environments, in this paper, a direction of arrival (DOA) est...
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Chapter and Conference Paper
Construction of Software Design and Programming Practice Course in Information and Communication Engineering
Innovation and entrepreneurship education is becoming one of the important goals of higher education in China. According to the requirements of the Ministry of Education to deepen the reform of innovation and ...
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Chapter and Conference Paper
Relation Extraction Model Based on Global Pointer and Potential Relation Embedding
Relationship extraction means automatically extracting the relationship triples from a large amount of unstructured text, which is an important subtask for building knowledge graphs (KG). However, a traditiona...
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Chapter and Conference Paper
Dynamic Texture Segmentation Based on Improved Mixtures of Hidden Markov Model
Dynamic texture (DT) can be regarded as a movement pattern with certain repetition in time and space. Dynamic texture segmentation focus on the problem of clustering multiple
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Chapter and Conference Paper
Adaptive Evolution Threshold for Multiscale Dynamic Texture Classification Based on Complex Network
In this paper, we propose an adaptive evolution threshold algorithm for dynamic texture classification. In the method, each pixel of the dynamic texture is mapped into a vertices of the network. Initially, a r...
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Article
GM130 regulates pulmonary surfactant protein secretion in alveolar type II cells
Pulmonary surfactant is a lipid-protein complex secreted by alveolar type II epithelial cells and is essential for the maintenance of the delicate structure of mammalian alveoli to promote efficient gas exchan...
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Article
Open AccessPRMT7 targets of Foxm1 controls alveolar myofibroblast proliferation and differentiation during alveologenesis
Although aberrant alveolar myofibroblasts (AMYFs) proliferation and differentiation are often associated with abnormal lung development and diseases, such as bronchopulmonary dysplasia (BPD), chronic obstructi...
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Chapter and Conference Paper
The Unified Framework of Deep Multiple Kernel Learning for Small Sample Sizes of Training Samples
Recently, deep learning technologies have rapidly developed. They have shown excellent performances in many fields. However, deep learning networks have weak adaptability to small sample sizes. In this paper, ...
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Chapter and Conference Paper
Quasiconformal Mahalanobis Distance-Based Kernel Map** Machine Learning for Hyperspectral Data Classification
In this paper, we present quasiconformal map** kernel machine learning-based intelligent hyperspectral data classification algorithm for the internet-based hyperspectral data retrieval. The contributions inc...
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Article
A CNNs-based method for optical flow estimation with prior constraints and stacked U-Nets
Traditional approaches for optical flow estimation always build an energy function which contains data term and smoothness term. However, optimizing the complex function is usually time-consuming. Nowadays, co...
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Chapter and Conference Paper
Near Infrared, Long-Wave Infrared and Visible Image Fusion Based on Oversampled Graph Filter Banks
The near infrared (NIR), long-wave infrared (LWIR) and visible image fusion combines the interesting information of NIR and LWIR images and the details of visible images, which can provide an informative imag...
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Chapter and Conference Paper
Research on the Application of Instance Segmentation Algorithm in the Counting of Metro Waiting Population
With the development of deep learning, intelligent security and measurement and control products emerge in endlessly. In order to maintain the operation order of subway station, it is one of the important prob...
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Chapter and Conference Paper
Research and Implementation of Distributed Intelligent Processing Architecture
In order to meet the needs of modern development, a distributed intelligent processing architecture that is easy to manage is designed and implemented for the problem of inconvenient management of many product...
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Chapter and Conference Paper
SAR Target Recognition Via 2DPCA and Weighted Sparse Representation
Target recognition about synthetic aperture radar (SAR) image using weight sparse representation-based classification (WSRC) is one of the research hotspots in recent years. For test samples, the weight coeffi...
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Article
Quantumness protection for open systems in a double-layer environment
We study the dynamics of two-level atomic systems (qubits) subject to a double-layer environment that consists of a network of single-mode cavities coupled to a common reservoir. A general exact master equatio...
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Chapter and Conference Paper
Dynamic Texture Classification with Relative Phase Information in the Complex Wavelet Domain
In recent years, dynamic texture classification has caused widespread concern in the image sequence analysis field. We propose a new method of combining relative phase information of dynamic texture in the com...
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Chapter and Conference Paper
CHMM-Based Classification of Dynamic Textures
Classification of dynamic textures is an important and meaningful research in texture analysis. To accurately describe and classify dynamic textures, this paper proposes Continuous Hidden Markov Model (CHMM) ...
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Article
Open AccessAurora-A promotes the establishment of spindle assembly checkpoint by priming the Haspin-Aurora-B feedback loop in late G2 phase
Aurora-A kinase functions mainly in centrosome maturation, separation and spindle formation. It has also been found to be amplified or overexpressed in a range of solid tumors, which is linked with tumor progr...
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Chapter and Conference Paper
A Kernel Density Estimation Model for Moving Object Detection
Moving object segmentation is an important component of many vision systems, especially in the non-static background. This paper proposes an approach based on Kernel Density Estimation that can handle situatio...
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Chapter and Conference Paper
Modified Wavelet Domain Hidden Tree Model for Texture Segmentation
The wavelet-domain hidden Markov tree (HMT) model provides a powerful approach for image modeling and processing because it captures the key features of the wavelet coefficients of real-world data. However, it...
