Search Results - "Zhang, Qingchen"
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Convolutional neural networks for medical image analysis: State-of-the-art, comparisons, improvement and perspectives
Published in Neurocomputing (Amsterdam) (15-07-2021)“…Convolutional neural networks, are one of the most representative deep learning models. CNNs were extensively used in many aspects of medical image analysis,…”
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Privacy Preserving Deep Computation Model on Cloud for Big Data Feature Learning
Published in IEEE transactions on computers (01-05-2016)“…To improve the efficiency of big data feature learning, the paper proposes a privacy preserving deep computation model by offloading the expensive operations…”
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Deep Convolutional Computation Model for Feature Learning on Big Data in Internet of Things
Published in IEEE transactions on industrial informatics (01-02-2018)“…Currently, a large number of industrial data, usually referred to big data, are collected from Internet of Things (IoT). Big data are typically heterogeneous,…”
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Modeling Elastic Wave Propagation Using K -Space Operator-Based Temporal High-Order Staggered-Grid Finite-Difference Method
Published in IEEE transactions on geoscience and remote sensing (01-02-2017)“…The traditional high-order staggered-grid finite-difference (SGFD) method has high-order accuracy in space, but only the second-order accuracy in time, which…”
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High-order possibilistic c-means algorithms based on tensor decompositions for big data in IoT
Published in Information fusion (01-01-2018)“…•A CP-HOPCM algorithm based on canonical polyadic decomposition is proposed.•The canonical polyadic decomposition in CP-HOPCM is used to compress the…”
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6
Hybrid-domain simultaneous-source full waveform inversion without crosstalk noise
Published in Geophysical journal international (01-12-2018)Get full text
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7
Robust boundary-preserving multi-source least-squares reverse-time migration with combined sparse constraints
Published in Journal of applied geophysics (01-09-2022)“…•Encode the harmonic wavelets to perform the multi-source wavefield simulation.•Deblend the blended wavefield to solve the crosstalk and acquisition…”
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Wave propagation in the poro-viscoelastic orthorhombic two-phase media: plane-wave theory and wavefield simulation
Published in Geophysical journal international (01-10-2021)“…SUMMARY Most researches on the Biot-squirt (BISQ) model are limited to the poroelastic transverse isotropic (TI) media. Actually, the poro-viscoelasticity and…”
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9
MVST: Identifying spatial domains of spatial transcriptomes from multiple views using multi-view graph convolutional networks
Published in PLoS computational biology (05-09-2024)“…Spatial transcriptome technology can parse transcriptomic data at the spatial level to detect high-throughput gene expression and preserve information…”
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10
Efficient reverse time migration based on fractional Laplacian viscoacoustic wave equation
Published in Geophysical journal international (01-01-2016)Get full text
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11
An Incremental CFS Algorithm for Clustering Large Data in Industrial Internet of Things
Published in IEEE transactions on industrial informatics (01-06-2017)“…With the rapid advances of sensing technologies and wireless communications, large amounts of dynamic data pertaining to industrial production are being…”
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12
Typical Aroma of Merlot Dry Red Wine from Eastern Foothill of Helan Mountain in Ningxia, China
Published in Molecules (Basel, Switzerland) (27-07-2023)“…Aroma is an important aspect of wine quality and consumer appreciation. The volatile organic compounds (VOCs) and olfactory profiles of Merlot dry red wines…”
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13
Crosstalk-free simultaneous-source full waveform inversion with normalized seismic data
Published in Computers & geosciences (01-05-2020)“…Simultaneous-source algorithms can increase the efficiency of full waveform inversion (FWI) dramatically through reducing the number of times of wavefield…”
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14
Advances in the role of resveratrol and its mechanism of action in common gynecological tumors
Published in Frontiers in pharmacology (17-07-2024)“…The incidence of common gynecological malignancies remains high, with current treatments facing multiple limitations and adverse effects. Thus, continuing the…”
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15
Five-dimensional seismic data reconstruction using the optimally damped rank-reduction method
Published in Geophysical journal international (01-09-2020)“…SUMMARY It is difficult to separate additive random noise from spatially coherent signal using a rank-reduction (RR) method that is based on the truncated…”
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Five-dimensional seismic data reconstruction using the optimally damped rank-reduction method
Published in Geophysical journal international (01-07-2019)Get full text
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17
Privacy-Preserving Double-Projection Deep Computation Model With Crowdsourcing on Cloud for Big Data Feature Learning
Published in IEEE internet of things journal (01-08-2018)“…Recent years have witness a considerable advance of Internet of Things with the tremendous progress of communication theories and sensing technologies. A large…”
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A Tensor-Train Deep Computation Model for Industry Informatics Big Data Feature Learning
Published in IEEE transactions on industrial informatics (01-07-2018)“…The deep computation model has been proved to be effective for big data hierarchical feature and representation learning in the tensor space. However, it…”
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Comparison of the transcriptomic responses of two Chrysanthemum morifolium cultivars to low light
Published in Molecular biology reports (01-11-2021)“…Background Low light is a primary regulator of chrysanthemum growth. Our aim was to analyse the different transcriptomic responses of two Chrysanthemum…”
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A High-Order Possibilistic C-Means Algorithm for Clustering Incomplete Multimedia Data
Published in IEEE systems journal (01-12-2017)“…Clustering is a commonly used technique for multimedia organization, analysis, and retrieval. However, most multimedia clustering methods are difficult to…”
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