Scientific Research Publishing

A New Method to Predict the Mechanical Behavior for a Family of Composite Materials ()

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...
GitHub

Combustion Toolbox: A MATLAB-GUI based open-source tool for solving gaseous combustion problems

The Combustion Toolbox is a MATLAB-based thermochemical framework designed to solve problems involving chemical equilibrium for both gas- and condensed-phase species. The toolbox is composed of ...
IEEE

Terminal Recurrent Neural Networks for Time-Varying Reciprocal Solving With Application to Trajectory Planning of Redundant Manipulators

Abstract: Time-varying matrix reciprocal problems are widely appeared in different matrix computations and engineering fields. Neural networks as a powerful tool have been developed to solve the ...
Mmegi

Sekgororoane’s ‘problem-solving’ matrix faces acid test at BFL

Countless times the Botswana Football League’s (BFL) revolving door has swung to welcome a new sheriff amidst soaring expectations for the local game, but the highly charged Lekidi Centre environment ...
GitHub

Solving large systems of linear equations using sparse matrix methods.

Sparse methods are primarily valuable for systems in which the number of non-zero entries is substantially less than the overall size of the matrix. Such situations are common in physical systems, ...
IEEE

Solving Complex-Valued Time-Varying Linear Matrix Equations via QR Decomposition With Applications to Robotic Motion Tracking and on Angle-of-Arrival Localization

Abstract: The problem of solving linear equations is considered as one of the fundamental problems commonly encountered in science and engineering. In this article, the complex-valued time-varying ...
Frontiers

Research on intelligent design and environmental adaptability of public art installations in the context of low-carbon cities

The idea of a low-carbon city is to achieve sustainable development by reducing greenhouse gas emissions. This study explores how intelligent design can enhance the environmental adaptability of ...