We consider a gravitational theory with an additional non-minimal coupling between baryonic matter fields and geometry. The is second order in the energy momentum tensor can be seen as generalization of energy-momentum squared gravity model. will add constraint through Lagrange multiplier to ensure conservation tensor. Background cosmological implications together its dynamical system analysis ...

Chi-square (X) test is a nonparametric statistical analyzing method often used in experimental work where the data consist in frequencies or ‘counts’ – for example the number of boys and girls in a class having their tonsils out – as distinct from quantitative data obtained from measurement of continuous variables such as temperature, height, and so on. The most common use of the test is to ass...

Magnitude Squared Coherence is a signal processing tool that indicates how well two time domain signals match one with the other by tracking linear dependencies in their spectral decomposition. This paper introduces different ways of using the Magnitude Squared Coherence for Side Channel Analysis. This distinguisher has several advantages over well-known distinguishers.

This paper develops adaptive graph filters that operate in reproducing kernel Hilbert spaces. We consider both centralized and fully distributed implementations. first define nonlinear on graph-shifted versions of the input signal. then propose a least mean squares (GKLMS) algorithm to identify filters' model parameters. To reduce dictionary size GKLMS, we apply principles coherence check rando...

Let G(V;E) be a graph. The common neighborhood graph (congraph) of G is a graph with vertex set V , in which two vertices are adjacent if and only if they have a common neighbor in G. In this paper, we obtain characteristics of congraphs under graph operations; Graph :::::union:::::, Graph cartesian product, Graph tensor product, and Graph join, and relations between Cayley graphs and its c...

Many scientific and engineering processes produce spatially unstructured data. However, most data-driven models require a feature matrix that enforces both set number order of features for each sample. They thus cannot be easily constructed an dataset. Therefore, graph based model to perform inference on fields defined mesh, using Graph Convolutional Neural Network (GCNN) is presented. The abil...

The problem of forming images that are optimal with respect to a Mean Square Error (MSE) criterion, based on nite data, is considered. First, it is shown that the MSE criterion is consistent with the general goal of classifying images, in that decreasing the MSE guarantees a decrease in the probability of misclassifying an image. The problem of choosing sampling locations for image formation th...

We study the existence and uniqueness of solutions of SDEs describing squared Bessel particle systems in full generality. We define non-negative and non-colliding squared Bessel particle systems and we study their properties. Particle systems dissatisfying noncolliding and unicity properties are pointed out. The structure of squared Bessel particle systems is described.

Several countries of the world are involved in mutual and collaborative business military equipments, weapons terms their production, sales, technical maintenance, training services. As a consequence, manufacturing boms, rockets, missiles other ammunitions have taken structured smooth shape to help others where when needed. Often support among remain open for information media, but sometime sec...