Results 81 to 90 of about 123,245 (174)
Spectral-Spatial Ensemble Low-Rank Domain Adaptation for Hyperspectral Image Classification
Domain adaptation has been proven effective for addressing cross-domain hyperspectral image (HSI) classification, especially when the target domain has no labeled samples.
Xue Zhang +5 more
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We propose an expansion of multivariate time-series data into maximally independent source subspaces. The search is made among rotations of prewhitened data which maximize non-Gaussianity of candidate sources.
Carlos A. L. Pires, Abdel Hannachi
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Analytic solution of nonlinear fractional Burgers-type equation by invariant subspace method
In this paper we study the analytic solutions of Burgers-type nonlinear fractional equations by means of the Invariant Subspace Method. We first study a class of nonlinear equations directly related to the time-fractional Burgers equation. Some generalizations linked to the forced time-fractional Burgers equations and variable-coefficient diffusion are
ARTALE HARRIS, PIETRO, GARRA, ROBERTO
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In this study coupled system of nonlinear time fractional Drinfeld-Sokolov-Wilson equations, which describes the propagation of anomalous shallow water waves is investigated. The Lie symmetry analysis is performed on the model.
Hadi Roohani Ghehsareh +2 more
doaj
Nonlinear reduced order models for elastic structures
The problem of synthesizing the reduced-order dynamic models for continuous elastic systems in a geometrically nonlinear formulation (primarily thin-walled structures) based on the finite element method is considered.
Lukin Aleksei +3 more
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Modal Parameter Identification of a Structure Under Earthquake via a Wavelet-Based Subspace Approach
This paper introduces a novel wavelet-based methodology for identifying the modal parameters of a structure in the aftermath of an earthquake. Our proposed approach seamlessly combines a subspace method with a stationary wavelet packet transform.
Wei-Chih Su +2 more
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Human action recognition based on tensor shape descriptor
Human action recognition is an important task. This study presents an efficient framework for recognising action with a 3D skeleton kinematic joint model in less computational time for practical usage.
Jianjun Li +3 more
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Motor brain-computer interfaces (BCIs) have gained growing research interest in motor rehabilitation, restoration, and prostheses control. Decoding upper-limb movement direction with noninvasive BCIs has been extensively investigated.
Bolin Peng +4 more
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Invariant subspace method for fractional Black-Scholes equations [PDF]
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Adaptive dual-graph learning joint feature selection for EEG emotion recognition
Emotion recognition based on electroencephalography (EEG) has garnered increasing attention for its ability to reflect human emotional states objectively and in real time.
Liangliang Hu, Congming Tan, Yin Tian
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