Concrete is a prominent construction material globally, owing to its reputed attributes such as robustness, endurance, optimal functionality, and adaptability. Formulating concrete mixtures poses formidable challenge, mainly when introducing novel materials additives evaluating diverse design resistances. Recent methodologies for projecting performance in fundamental aspects, including compressive strength, flexural tensile durability (encompassing homogeneity, porosity, internal structure),...

In recent years, advancements in deep learning (DL) have been leveraged civil engineering, but further exploration is necessary to apply DL techniques asphalt research. These advances involve employing computer vision tasks and machine approaches solve current challenges develop innovative solutions for the conservation monitoring of roads. laboratory, Hamburg-Wheel Tracking (HWT) test simulates expected vehicle traffic evaluates permanent deformation, such as rutting mixtures. Current works...

WaveGFD is a repository inspired by the development and analysis of meshless finite difference schemes for wave equation in highly irregular domains, such as polygonal approximations geographical regions. These methods' innovative approach allows to address complexity solving partial differential equations They stand out their precision efficiency. The proposed methodology overcomes limitations conventional techniques, promising applicability broad spectrum complex physical problems....

This research explores the efficacy of YOLOR (You Only Learn One Representation) algorithm integrated with Deep Sort for real-time vehicle detection, classification, and counting in Morelia, Mexico. The study aims to enhance traffic monitoring management by leveraging advanced deep learning techniques. methodology involves deploying model at six key stations, varying confidence levels pre-trained weights, evaluate its performance across diverse conditions. results demonstrate that is...

Nowadays, society faces a catastrophic problem related to respiratory syndrome due the coronavirus SARS-CoV-2: Covid-19 disease. This virus has changed our coexistence rules and, in consequence, reshaped daily activities modern societies. Thus, there are many efforts understand behaviour order reduce its negative impact, and these produce an incredible amount of information data sources every week. Data scientists, which use techniques such as Machine learning, focusing their abilities...

This work presents the use of a schemes in generalized finitedifferences for calculation numeric solution associated to stationary, advection-diffusion problem, and usage such study an inverse problem related this one, which non-linear, regularized leastsquares adjustment is employed determine certain coefficients involved problem.

In this paper, we present an heuristic finite difference scheme for the second-order linear operator, which is derived from unconstrained least squares problem defined by consistency condition on residuals of order one, two and three in Taylor expansion local truncation error. It based a non-iterative calculation coefficients can be used to solve efficiently Poisson-like equations non-rectangular domains are approximated structured convex grids. Mathematics Subject Classification: 65M06, 65M50

The variational grid generation method is a powerful tool for generating structured convex grids on irregular simply connected domains whose boundary polygonal Jordan curve. Several examples that show the accuracy of finite difference approximation to solution Poisson equation using this kind have been recently reported. In paper, we compare numerical calculated those and differences against obtained with Delaunay-like triangulations regions.

Density-driven groundwater flows are described by nonlinear coupled differential equations. Due to its importance in engineering and earth science, several linearizations semi-linearization schemes for approximating their solution have been proposed. Among the more efficient combinations of Newtonian iterations spatially discretized system obtained either scalar homotopy methods, fictitious time or meshless generalized finite difference method, with implicit methods integration. However,...

When designing and implementing numerical schemes, it is imperative to consider the stability of applied methods. Prior research has presented different results for generalized finite-difference methods advection diffusion equations. In recent years, explored a approach advection-diffusion equation solved on non-rectangular highly irregular regions using convex, logically rectangular grids. This paper presents study finite difference schemes solution wave equation, clouds points domains. The...