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  1. Article

    Open Access

    Parameters 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...

    Lei Xu, Yuzhao Ma, Davide Elmo, Shuxue Ding, Hengzhong Zhu in Scientific Reports (2024)

  2. No Access

    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...

    Shuxue Ding, Peilin Jiang, **g Qiao, Hua Nan, Lei Xu in KSCE Journal of Civil Engineering (2024)

  3. No Access

    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...

    Dafang Yang, Jiasai Li, Shuxue Ding in Bulletin of Engineering Geology and the En… (2023)

  4. Article

    Open Access

    LTF-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 ...

    Idowu Paul Okuwobi, Zhixiang Ding, Jifeng Wan in Complex & Intelligent Systems (2023)

  5. No Access

    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...

    Yang Qin, Huiming **e, Shuxue Ding, Benying Tan, Yujie Li, Bin Zhao in Applied Intelligence (2023)

  6. No Access

    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...

    Kangkang Zhang, Benying Tan, Shuxue Ding in International Journal of Machine Learning … (2023)

  7. No Access

    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...

    Yujie Li, Benying Tan, Shuxue Ding in Machine Learning for Cyber Security (2023)

  8. No Access

    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...

    Bin Zhao, Zhiyang Liu, Shuxue Ding, Guohua Liu, Chen Cao in Optoelectronics Letters (2022)

  9. No Access

    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...

    Bin Zhao, Shuxue Ding, Mengran Wu, Guohua Liu, Chen Cao in Artificial Intelligence in China (2022)

  10. No Access

    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...

    **aoju Chen, Yujie Li, Shuxue Ding, Benying Tan, Yuqi Jiang in Artificial Intelligence (2022)

  11. No Access

    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...

    Manman Wang, Benying Tan, Shuxue Ding, Yujie Li in Artificial Intelligence (2022)

  12. No Access

    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...

    Lingjun Zhao, Chunhua Su, Zeyang Dai, Huakun Huang in The Journal of Supercomputing (2020)

  13. No Access

    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...

    **nyi Wang, Wenlong Liu, Minglu ** in Circuits, Systems, and Signal Processing (2020)

  14. No Access

    Article

    Mechanical Characteristics of Granite After Heating and Water-Cooling Cycles

    Dong Zhu, Hongwen **g, Qian Yin, Shuxue Ding in Rock Mechanics and Rock Engineering (2020)

  15. No Access

    Article

    Dictionary learning with the \({{\ell }_{1/2}}\) -regularizer and the coherence penalty and its convergence analysis

    The \({{\ell }_{1/2}}\) ℓ ...

    Zhenni Li, Takafumi Hayashi, Shuxue Ding in International Journal of Machine Learning … (2018)

  16. No Access

    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...

    Peng Zhang, **aohong Ma, Shuxue Ding in Advances in Neural Networks - ISNN 2017 (2017)

  17. No Access

    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...

    Linlin Chen, **aohong Ma, Shuxue Ding in Advances in Neural Networks - ISNN 2017 (2017)

  18. No Access

    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...

    Zhuangguo Miao, **aohong Ma, Shuxue Ding in Advances in Neural Networks - ISNN 2017 (2017)

  19. No Access

    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...

    Zhenni Li, Chang-shui Yu, Shuxue Ding in International Journal of Theoretical Physi… (2013)

  20. No Access

    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...

    Zunyi Tang, Shuxue Ding in Advances in Neural Networks – ISNN 2012 (2012)

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