Results 11 to 20 of about 381,042 (274)
An anti‐vibration‐shock inertial matching measurement method for hull deformation
IET Signal Processing, 2022 In order to establish a unified spatial reference for the whole ship, inertial matching measurement of hull deformation is widely used because of its continuity and concealment.
Dongsheng Xu +4 more
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An improved distributed optimized random differential privacy algorithm
Nantong Daxue xuebao. Ziran kexue ban, 2023 For the distributed optimization privacy protection problem in multi-agent systems, each agent uses the information of its neighbors to minimize the sum of the objective functions of all agents. The goal is to protect the objective function of each agent
TAO Meng CAO Jinde
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DEMVSNet: Denoising and depth inference for unstructured multi‐view stereo on noised images
IET Computer Vision, 2022 Most deep‐learning‐based multi‐view stereo series studies are concerned with improving the depth prediction accuracy of noise‐free images. However, it is difficult to obtain off‐the‐set clean images in practice and 3D convolutional neural networks ...
Jiawei Han +4 more
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Вестник Самарского государственного технического университета. Серия: Технические науки, 2022 The paper deals with assessing the scope of the approximation algorithm for smoothing chromatographic signals. The algorithm is based on Chebyshev-Hermite functions.
Andrey V. Bochkarev +1 more
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Differential Privacy Protection Scheme of Adaptive Clustering by Fast Search and Find of Density Peaks [PDF]
Zhengzhou Daxue xuebao. Gongxue ban, 2023 In order to solve the privacy leakage problem caused by adaptive clustering by fast search and find of density peaks(AdDPC) when calculating the local density and the primary allocation strategy, a differential privacy protection scheme of an improved ...
GE Lina +3 more
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Frontiers in Earth Science, 2023 Convolutional Neural Network (CNN) is widely used in seismic data denoising due to its simplicity and effectiveness. However, traditional seismic denoising methods based on CNN ignore multi-scale features of seismic data in the wavelet domain.
Liangsheng He +5 more
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Random noise in Diffusion Tensor Imaging, its Destructive Impact and Some Corrections [PDF]
, 2005 The empirical origin of random noise is described, its influence on DTI variables is illustrated by a review of numerical and in vivo studies supplemented by new simulations investigating high noise levels.
Hahn, K.R. +14 more
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Seismic Random Noise Attenuation Based on PCC Classification in Transform Domain
IEEE Access, 2020 Random noise attenuation of seismic data is an essential step in the processing of seismic signals. However, as the exploration environment is becoming more and more complicated, the energy of valid signals is weaker and the signal to noise (SNR) is much
Yu Sang +5 more
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RTS noise impact in CMOS image sensors readout circuit [PDF]
, 2009 CMOS image sensors are nowadays widely used in imaging applications even for high end applications. This is really possible thanks to a reduction of noise obtained, among others, by Correlated Double Sampling (CDS) readout.
P. Magnan +3 more
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Low rank prior in single patches for non-pointwise impulse noise removal [PDF]
, 2015 This paper introduces a low rank prior in small oriented noise-free image patches: Considering an oriented patch as a matrix, a low-rank matrix approximation is enough to preserve the texture details in the optimally oriented patch.
Trucco, Emanuele; id_orcid +2 more
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