Results 11 to 20 of about 1,136,091 (291)
Algorithm for Feature Information Extraction from Scattered Point Cloud Data [PDF]
Jisuanji gongcheng, 2017 To solve the problem of low efficiency and low noise sensitivity in the process of scattered point cloud feature extraction,this paper proposes a double threshold point cloud feature information extraction algorithm.The Principal Component Analysis(PCA ...
SHI Haoliang,WU Lushen,YU Zheqi,WAN Chao
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Determination of the density of scattered spherical data for use in star catalog uniformity [PDF]
فصلنامه علوم و فناوری فضایی, 2021 In this paper, a new algorithm for determining the density of scattered data at the surface of the sphere is presented and then the proposed algorithm along with Geodesic Weighted K-Means clustering and Deluany triangulation are used to make uniform star
Farshad Somayehee +2 more
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Fitting and selecting Scattering Data [PDF]
Proceedings of XVII International Conference on Hadron Spectroscopy and Structure — PoS(Hadron2017), 2018 7 pages, 5 figures, talk presented by ERA at XVII International Conference on Hadron Spectroscopy and Structure - Hadron2017, Salamanca, 25-29 September ...
Arriola, Enrique Ruiz +2 more
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Understanding deep inelastic scattering data [PDF]
Physics Letters B, 1980 Abstract The new experimental results on v ¯ p deep inelastic scattering show that we possess a good numerical understanding of this important class of phenomena. We argue that among the different descriptions of deep inelastic scattering, the MQM clearly qualifies as the most predective, economical and realistic approach to this ...
CASTORINA, Paolo +2 more
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Processing macromolecular diffuse scattering data
, 2023 AbstractDiffuse scattering is a powerful technique to study disorder and dynamics of macromolecules at atomic resolution. Although diffuse scattering is always present in diffraction images from macromolecular crystals, the signal is weak compared with Bragg peaks and background, making it a challenge to visualize and measure accurately. Recently, this
Steve P. Meisburger, Nozomi Ando
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Kernel-based Image Reconstruction from Scattered Radon Data [PDF]
, 2016 Computerized tomography requires suitable numerical methods for the approximation of a bivariate function f from a finite set of discrete Radon data, each of whose data samples represents one line integral of f .
DE MARCHI, Stefano +2 more
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Parallel Hierarchical Genetic Algorithm for Scattered Data Fitting through B-Splines
Applied Sciences, 2019 Curve fitting to unorganized data points is a very challenging problem that arises in a wide variety of scientific and engineering applications. Given a set of scattered and noisy data points, the goal is to construct a curve that corresponds to the best
Jose Edgar Lara-Ramirez +5 more
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Monotonicity preserving approximation of multivariate scattered data [PDF]
, 2005 This paper describes a new method of monotone interpolation and smoothing of multivariate scattered data. It is based on the assumption that the function to be approximated is Lipschitz continuous.
Beliakov, Gleb
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Fractional Euclidean Distance Matrices Extrapolator for Scattered Data
Jaunųjų Mokslininkų Darbai, 2017 The paper deals with application of fractional distance matrices to construct the efficient extrapolator of scattered data. The properties of fractional distance matrices are studied in order to develop the linear extrapolator.
Natalija Pozniak, Leonidas Sakalauskas
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Computational Optimized Monitoring Methodology to Avoid Crowd Crush Accidents with Scattered Data
AppliedMath, 2022 Recently, a crowd crush accident occurred in Seoul. Mathematics and data science can contribute to understanding this incident and to avoiding future accidents.
Dongyung Kim
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