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Article
Open AccessParameters and surrounding rock control of gob-side driving under double key stratum after roof cutting
Taking the return-airway 4204 with roof cutting in Longquan Coal Mine as the engineering background, roof structure, key parameters, and deviatoric stress evolution were studied. Conclusion: The Key Stratum wi...
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Article
Influence of Lateral Pressure on the Mechanical Performance of Bolted Specimens under Biaxial Compression
The influence of lateral pressure (σ2) on the stability of the surrounding rock of roadway increases after excavation. The rock bolt is usually used to improve the stability of the surrounding rock. Therefore, it...
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Article
Study on the impact resistance of prefabricated fractured red sandstone samples with different dip angles reinforced by bolt-grouting
With the development of underground engineering, dynamic disasters, such as rock bursts, are becoming increasingly serious. Bolt-grouting combined support is one of the common support methods, aiming at the pr...
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Article
Open AccessLTF-NSI: a novel local transfer function based on neighborhood similarity index for medical image enhancement
Medical image is an essential tool used in quantitative and qualitative evaluation of different diseases. Medical imaging methods such as fluorescein angiography (FA), optical coherence tomography angiography ...
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Article
Bar transformer: a hierarchical model for learning long-term structure and generating impressive pop music
Recently many deep learning-based automatic music generation models have been proposed. How to generate long pieces of pop music with distinctive musical characteristics remains a challenging problem, as it re...
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Article
Device-free indoor localization based on sparse coding with nonconvex regularization and adaptive relaxation localization criteria
Considering practical device-free localization (DFL), the localization precision is usually proportional to the sensor density, with an ordinary arrangement. A better localization performance generally indicat...
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Chapter and Conference Paper
Symmetry Structured Analysis Sparse Coding for Key Frame Extraction
The efficiency of sparse coding based key frame extraction algorithm is influenced by various sparse regularization and optimization strategies. However, sparse coding with an analytical model for key frame ex...
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Article
Motion artifact correction for MR images based on convolutional neural network
Magnetic resonance imaging (MRI) is a common way to diagnose related diseases. However, the magnetic resonance (MR) images are easily defected by motion artifacts in their acquisition process, which affects th...
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Chapter and Conference Paper
MocNet: Less Motion Artifacts, More Clean MRI
Magnetic Resonance Imaging is a common way of diagnosing related diseases. However, the magnetic resonance images are easily defected by motion artifacts in their acquisition process, which severely affects th...
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Chapter and Conference Paper
A Novel Nonlinear Dictionary Learning Algorithm Based on Nonlinear-KSVD and Nonlinear-MOD
At present, scholars have proposed numerous linear dictionary learning methods. In the field of dictionary learning, linear dictionary learning is the most commonly applied method, and it is typically utilized...
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Chapter and Conference Paper
A Novel Device-Free Localization Approach Based on Deep Dictionary Learning
As an emerging technology, device-free localization (DFL) has a wide range of application scenarios in the field of the internet of things. However, most of the existing DFL methods take the mode of learning f...
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Article
Indoor device-free passive localization with DCNN for location-based services
With the increasing demand of indoor location-based services, such as tracking targets in a smart building, device-free localization technique has attracted great attentions because it can locate the targets w...
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Article
Parameter-Free Landweber Iteration Method for Robust Adaptive Beamforming
In this paper, we propose a novel parameter-free Landweber iteration (LI) method to improve the robustness of a beamformer based on the LI algorithm and the L-curve criterion. The critical aspect of the propos...
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Article
Mechanical Characteristics of Granite After Heating and Water-Cooling Cycles
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Article
Dictionary learning with the \({{\ell }_{1/2}}\) -regularizer and the coherence penalty and its convergence analysis
The \({{\ell }_{1/2}}\) ℓ ...
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Chapter and Conference Paper
Audio Source Separation from a Monaural Mixture Using Convolutional Neural Network in the Time Domain
Audio source separation from a monaural mixture, which is termed as monaural source separation, is an important and challenging problem for applications. In this paper, a monaural source separation method usin...
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Chapter and Conference Paper
Single Channel Speech Separation Using Deep Neural Network
Single channel speech separation (SCSS) is an important and challenging research problem and has received considerable interests in recent years. A supervised single channel speech separation method based on d...
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Chapter and Conference Paper
Phase Constraint and Deep Neural Network for Speech Separation
The phase response of speech is an important part in speech separation. In this paper, we apply the complex mask to the speech separation. It both enhances the magnitude and phase of speech. Specifically, we u...
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Article
Nondestructive Probing Scheme of Quantum State Without Quantum Correlation
We study a scheme that an auxiliary qubit is introduced for probing the information of the given bipartite quantum state, while the correlations of the probed quantum state and even the probed state itself are...
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Chapter and Conference Paper
Nonnegative Dictionary Learning by Nonnegative Matrix Factorization with a Sparsity Constraint
In this paper, we propose an overcomplete nonnegative dictionary learning method for sparse representation of signals by posing it as a problem of nonnegative matrix factorization (NMF) with a sparsity constra...