Buscar recursos académicos

Prospective elementary teachers (PET) are required to have sufficient mathematical and didactic knowledge about fractions, but many of them have difficulties explaining various concepts of fractions to students. Given th...

We evaluate the performance of novel numerical methods for solving one-dimensional nonlinear fractional dispersive and dissipative evolution equations. The methods are based on affine combinations of time-splitting integ...

Machine learning (ML) and neuromorphic computing have been enforcing problem-solving in many applications. Such approaches found fertile ground in optical communications, a technological field that is very demanding in t...

Introduction. Metaheuristic algorithms are effective for solving complex power system optimization problems characterized by nonlinearity, multimodality, and high dimensionality. Nature-inspired strategies based on adapt...

Mathematical representation is an idea interpretation form of solving mathematical problems. The process of mathematical representation is essential to pay attention to, especially in carrying out transformations between...

In this article, we analyse the skills and competencies of young Polish adults in the context of a rapidly changing labour market. The research focuses on understanding how young adults, faced with technological progress...

"The placement of obstacles in front of doors is believed to be an effective strategy to increase the flow of pedestrians, hence improving the evacuation process. Since it was first suggested, this counterintuitive featu...

ABSTRACT While solving the problem of sport horses’ pathologies it is important to choose safe and environmentally friendly methods, including cryotherapy, which is the topic of our research. The use of cryotherapy is ...

Efforts to harness quantum hardware relying on quantum mechanical principles have been steadily progressing. The search for novel material platforms that could spur the progress by providing new functionalities for solvi...

In the context of global changes and the complexity of socio-economic systems, making management decisions is becoming an increasingly challenging process. Digital transformation, which has become a key goal for the deve...

Introduction: According to statistics, the number of students with disability at Lviv Polytechnic National University is 374 people; the number of veteran-students is 6; the number of students-children of veterans is 811...

Type of the article: Research Article AbstractIn emerging economies, youth unemployment and limited entrepreneurial education remain persistent challenges for higher education institutions. This study aims to examine ho...

Introduction: Achieving a high level of social welfare requires investment in human capital, and its sufficiency and rational use is a necessary condition for the development of the state. The health of the nation as a f...

This paper presents a hybrid method to solve hard multiobjective problems. The proposed approach adopts an epsilon-constraint method which uses a Particle Swarm Optimizer to get points near of the true Pareto front. In t...

En este Trabajo de Grado se presenta una estrategia general (metaheurística) para la resolución del Problema del Viajante de Comercio. Éste es un problema clásico de optimización combinatoria, cuyo conjunto de solu...

In this paper, we present a new model of an artificial immune system (AIS), based on the process that suffers the T-Cell, it is called T-Cell Model. It is used for solving constrained (numerical) optimization problems. T...

Our interest is to define evolutionary algorithms to solve Constraint Satisfaction Problems (CSP), which indlude benefits of taditional resolution methods of CSPs as well as inherent characteristics of these kind of prob...

In this Ph. D thesis, the main significant contributions are: formulation of a new non-linear membership function using fuzzy approach to capture and describe vagueness in the technological coefficients of constraints in...

Q-Learning is a Reinforcement Learning method for solving sequential decision problems, where the utility of actions depends on a sequence of decisions and there exists uncertainty about the dynamics of the environment t...

Evolving neural arrays (ENA) have proved to be capable of learning complex behaviors, i.e., problems whose solution requires strategy learning. For this reason, they present many applications in various areas such as rob...

"Este trabajo tiene por objetivo analizar el funcionamiento de una planta híbrida de generación de energía. En este contexto, se busca encontrar una solución a un problema energético particular. El problema elegido ...

Fil: Lepratte, Leandro. Universidad Tecnológica Nacional. Facultad Regional Concepción del Uruguay; Argentina. El presente artículo presenta los avances de un trabajo teórico-analítico desarrollado para crear un mar...

Complex control tasks may be solved by dividing them into a more specific and more easily handled subtasks hierarchy. Several authors have demonstrated that the incremental layered evolution paradigm allows obtaining con...

The resolution of optimization problems is of great interest nowadays and has encouraged the development of various information technology methods to attempt solving them. There are several problems related to Software E...