Results 221 to 230 of about 7,028 (257)

Prototypical contrastive learning with patch-based spatio-temporal alignment for multivariate time series anomaly detection. [PDF]

Sci Rep
Yang C, Li X, Xu K, Lin X, Fu G.
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2-D Modeling and Analysis of Time-Domain Electromagnetic Anomalous Diffusion With Space-Fractional Derivative

IEEE Transactions on Geoscience and Remote Sensing, 2023
Yibing Yu, Quanming Gao, Xuejiao Zhao
exaly   +2 more sources

Fractional Calculus Models for the Anomalous Diffusion Processes and Their Analysis

AIP Conference Proceedings, 2010
In this paper, the anomalous diffusion processes are modeled with partial differential equations of the fractional order that are then discussed in details. The anomalous diffusion can be characterized by the property that it no longer follows the Gaussian statistics and in particular one observes a deviation from the linear time dependence of the mean
Yu. Luchko, Michail D. Todorov, Christo I. Christov   +2 more
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Analysis of a Model for Anomalous-Diffusion Behavior of CO2 in the Macromolecular-Network Structure of Coal

SPE Journal, 2010
Summary This paper gives an analysis of the Thomas and Windle model (Thomas and Windle 1982) to determine its usefulness for describing anomalous diffusion of CO2 in coal and its relation to matrix swelling. In addition, a finite-element description for this model is derived.
Saikat Mazumder, Fred Vermolen, Johannes Bruining   +2 more
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Models of the neutral-fractional anomalous diffusion and their analysis

AIP Conference Proceedings, 2012
Anomalous diffusion can be roughly characterized by the property that the diffusive particles do not follow the Gaussian statistics. When the mean squared displacement of the particles behaves in time like a power function, time- and/or space-fractional derivatives were shown to be useful in modeling of such diffusion processes.
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Models of Anomalous Diffusion and its analysis

Journal of Al-Rafidain University College For Sciences ( Print ISSN: 1681-6870 ,Online ISSN: 2790-2293 )
The anomalous diffusion is characterized by deviation from Gaussian statistics and the absence of a linear time dependency in the mean square displacement. This study investigates anomalous diffusion processes that exhibit a power-law growth in mean square displacement as time progresses.
Muhannad F. AL- Saadony, null Nasir A. Naser   +1 more
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Dispersive conductivity and dielectric behavior in niobium based NASICON glasses and analysis using anomalous diffusion model

Solid State Ionics, 2010
Abstract Ion transport properties of Na 2 NbZnP 3 O 12 , Na 2 NbCdP 3 O 12 , Na 2 NbPbP 3 O 12 , Na 2 NbCuP 3 O 12 and Li 2 NbPbP 3 O 12 phosphate glasses were investigated over a frequency range from 100 Hz to 1 MHz at different temperatures. The non-Debye behaviors in real part of ac conductivity and permittivity of these glasses were analyzed ...
S. Vinoth Rathan, G. Govindaraj
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Thin film growth by 3D multi-particle diffusion limited aggregation model: Anomalous roughening and fractal analysis

Physica A: Statistical Mechanics and its Applications, 2018
Abstract In this study a 3D multi-particle diffusion limited aggregation method is employed to simulate growth of rough surfaces with fractal behavior in electrodeposition process. A deposition model is used in which the radial motion of the particles with probability P, competes with random motions with probability 1 − P .
Maryam Nasehnejad, G. Nabiyouni, Mehran Gholipour Shahraki   +2 more
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Unified stochastic representation, well-posedness analysis, and regularity analysis for the equations modeling anomalous diffusions

Discrete and Continuous Dynamical Systems - B
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Sun, Rui, Deng, Weihua
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