11 Results Found

The Causal Quantum Spacetime Theory (CQST) treats spacetime as emergent from a discrete causal substrate, the quantum spacetime regenerating (QSR) lattice, assembling its geometric, holographic, quantum-foundational and phenomenological strands. The...

Shale is typically studied as a transversely isotropic medium with a vertical axis of symmetry (VTI). This model can be extended to vertical fractures in transversely isotropic (VFTI) media when the shale background contains a set of vertical fractur...

The spin alignment of vector mesons, characterized by the spin-density-matrix element ${\rho }_{00}$, is an important observable for studying spin dynamics in relativistic heavy-ion collisions. Experimental measurements have reported deviations of ${\rho }_{00}$ f...

This paper presents an overview of coding methods used to encode a set of covariance matrices. Starting from a Gaussian mixture model (GMM) adapted to the Log-Euclidean (LE) or affine invariant Riemannian metric, we propose a Fisher Vector (FV) descr...

The statement of the eigenvalue problem for a tensor–block matrix (TBM) of any order and of any even rank is formulated, and also some of its special cases are considered. In particular, using the canonical presentation of the TBM of the tensor...

The mean-shift method is a convenient mode-seeking method. Using a principle of the sample mean over an analysis window, or kernel, in a data space where samples are distributed with bias toward the densest direction of sample from the kernel center,...

Detecting similarities between image patches and measuring their mutual displacement are important parts in the registration of multimodal remote sensing (RS) images. Deep learning approaches advance the discriminative power of learned similarity mea...

Capsule networks explicitly encode pose and part–whole structure, making them attractive for heterogeneous visual and speech data but creating structured messages and substantial communication costs in federated learning. We present FedCap-Priv...

Let $\overrightarrow{p}\in {(0,\infty )}^n$ be an exponent vector and A be a general expansive matrix on ${\mathbb{R}}^n$. Let $H_A^{\overrightarrow{p}}\left({\mathbb{R}}^n\right)$ be the anisotropic mixed-norm Hardy spaces associated with A defined via the non-tangential grand maximal function. In this article, using the known atomic ch...

This paper continues the analysis from Parts I and II, which addressed two-dimensional dispersed random composites. This part extends previous analytical studies by incorporating machine learning (ML) methods to quantitatively classify microstructure...

This paper focuses on a new type of configuration design of a compliant parallel mechanism (CPM) planar continuum structure and its characteristic analysis of vibration-inherent frequency for planar motion, which can suppress the impact of random vib...