Results 1 to 10 of about 14,024,872 (145)
Joint Demosaicing and Denoising Based on Interchannel Nonlocal Mean Weighted Moving Least Squares Method [PDF]
Nowadays, the sizes of pixel sensors in digital cameras are decreasing as the resolution of the image sensor increases. Due to the decreased size, the pixel sensors receive less light energy, which makes it more sensitive to thermal noise.
Yeahwon Kim +3 more
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Electrothermal Actuator Performance Analysis via the Moving Least Square Method [PDF]
This paper presents a case study demonstrating the use of the moving least square method (MLS) for modeling the mechanical response of an electrothermal microactuator.
Yuanhu Gu +4 more
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Moving Least Squares Method and its Improvement: A Concise Review [PDF]
The concise review systematically summarises the state-of-the-art variants of Moving Least Squares (MLS) method. MLS method is a mathematical tool which could render cogent support in data interpolation, shape construction and formulation of meshfree ...
Wah Yen Tey +4 more
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POINT CLOUD SMOOTH SAMPLING AND SURFACE RECONSTRUCTION BASED ON MOVING LEAST SQUARES [PDF]
In point cloud data processing, smooth sampling and surface reconstruction are important aspects of point cloud data processing. In view of the current point cloud sampling method, the point cloud distribution is not uniform, the point cloud feature ...
C. L. Kang +9 more
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By introducing the dimension splitting method (DSM) into the improved interpolating moving least-squares (IMLS) method with nonsingular weight function, a dimension splittingâinterpolating moving least squares (DS-IMLS) method is first proposed.
Jufeng Wang, Fengxin Sun, Rongjun Cheng
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Analysis of a plane stress wave by the moving least squares method [PDF]
A meshless method based on the moving least squares approximation is applied to stress wave propagation analysis. Two kinds of node meshes, the randomly generated mesh and the regular mesh are used.
Wojciech Dornowski
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A Novel Reconstruction Method for Measurement Data Based on MTLS Algorithm
Reconstruction methods for discrete data, such as the Moving Least Squares (MLS) and Moving Total Least Squares (MTLS), have made a great many achievements with the progress of modern industrial technology.
Tianqi Gu +3 more
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In this paper, the Volterra differential equations governing on the predatorâprey dynamics is numerically solved through the combination of evolutionary algorithms with Moving Least Squares as well as the Finite Difference Method.
Mohammad Javad Mahmoodabadi
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Methods for Fitting the Limit State Function of the Residual Strength of Damaged Ships
The limit state function is important for the assessment of the longitudinal strength of damaged ships under combined bending moments in severe waves.
Zhiyao Zhu +4 more
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Tomographic Synthetic Aperture Radar (TomoSAR) is an advanced technology for three-dimensional (3D) mountain reconstruction. However, the TomoSAR mountain point clouds have a significant location error in the elevation direction, making high-precision 3D
Xiaowan LI +7 more
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