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Three-invariant model and bifurcation analysis of deformation bands for a sandstone subjected to true triaxial loading paths
This paper presents a general three-invariant model to evaluate the theoretical prediction of strain localization against laboratory measurements...
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Age-Invariant Face Recognition Based on Self-Supervised Learning
Face recognition across aging has grown into an extremely prominent and challenging job in the field of facial recognition in recent times. Many...
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Tensor low-rank representation combined with consistency and diversity exploration
In recent years, many tensor data processing methods have been proposed. Tensor low-rank representation (TLRR) is a recently proposed tensor-based...
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Adapted Jacobi Orthogonal Invariant Moments for Image Representation and Recognition
Images recognition and classification require an extraction technique of feature vectors of these images. These vectors must be invariant to the...
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Data-Driven OCL Invariant Patterns-Based Process Model Exploration for Process Mining
Process mining has become an effective and efficient means to manage organisations’ processes. A commonly used type of process mining today is...
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Gait coordination feature modeling and multi-scale gait representation for gait recognition
Gait recognition is an advanced biometric modality that identifies individuals based on their walking postures. Currently, the majority of gait...
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Direct parametrisation of invariant manifolds for non-autonomous forced systems including superharmonic resonances
The direct parametrisation method for invariant manifold is a model-order reduction technique that can be applied to nonlinear systems described by...
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Invariant manifolds of Lyapunov periodic orbits in the RCD solar sail problem with dipole secondary
Invariant manifolds of a periodic orbit are very important dynamical aspects to understand the quantitative as well as qualitative behaviour of...
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Scale-Invariant Geometries Arising from the Interaction Between a 9%Cr Steel and Molten Nitrate Salt
The surface topography and microstructure of a 9%Cr steel are shown to drastically impact its interaction with molten nitrate salt at 550 °C. In...
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Damage Localization Through Assignment of Invariant Eigenpairs
The present paper reviews a method based on output feedback eigenstructure assignment for locating damage in minimum-phase structural systems with...
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Cross-domain transferable discriminant dictionary based sparse representation approach for EEG emotion-level recognition
Emotion is usually caused by complex psychological and physiological changes triggered by external stimuli. It is considered one of the abilities to...
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Rolling Element Bearing Fault Investigation Based on Translation Invariant Wavelet Means Denoising and Empirical Mode Decomposition (EMD)
The defected rolling element bearing produces a non-stationary vibration signal, and these vibration signals are generally immersed with heavy noise....
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Arithmetic in the Design of Linear Time-Invariant Filters
This chapter provides an arithmetic-centered point of view on the construction of hardware digital filters. Such filters combine arithmetic...
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Weakly Nonlinear Time Invariant Systems
As outlined in Chap. 1 , the behavior of nonlinear systems is substantially richer than the one of...
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Reduced-order representation and reconstruction of non-stationary flow system using flow-time-history deep learning
A representation and reconstruction model for the time-variant flow features of non-stationary flow system is proposed. Different from snapshot-based...
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The determinant representation of Ward soliton solutions and its dynamical behaviors
In this work, we constructed the multi-soliton solutions to the Ward equation with the help of the generalized Darboux transformation method....
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Invariant Analysis of Vortical Delta Wing Flow Using the Extended Optimal Triple Tensor Decomposition
Vortices and vortex breakdown flow structures over a multi-delta wing configuration are often analyzed by applying flow field invariant analysis...
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Preserving Spatio-Temporal Information in Machine Learning: A Shift-Invariant k-Means Perspective
In conventional machine learning applications, each data attribute is assumed to be orthogonal to others. Namely, every pair of dimension is...
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Problems: Different Representations of Linear Time-Invariant (LTI) Systems
In this chapter, different representations of linear time-invariant (LTI) systems, including differential equation representation, impulse response...