Cerca risorse accademiche

Fil: Bircher, Natalia Lorena. Universidad Tecnológica Nacional. Facultad Regional Santa Fe; Argentina. La investigación desarrollada en esta tesis estuvo orientada a analizar, cómo impactan los contenidos digitales en...

Fue implementado un ambiente virtual de aprendizaje siguiendo algunos principios de la Educación a Distancia, para auxiliar las clases presenciales de Física. Para su construcción fueron investigadas las herramientas ...

Foi implementado um ambiente virtual de aprendizagem para auxiliar as aulas presenciais de Física, cuja ênfase foi a utilização de simulações de experimentos. Os recursos que o ambiente apresenta possibilitaram org...

Previous article Next article Fractional Brownian Motions, Fractional Noises and ApplicationsBenoit B. Mandelbrot and John W. Van NessBenoit B. Mandelbrot and John W. Van Nesshttps://doi.org/10.1137/1010093PDFBibTexSecti...

Lots of learning tasks require dealing with graph data which contains rich relation information among elements. Modeling physics systems, learning molecular fingerprints, predicting protein interface, and classifying dis...

Since the classical molecular dynamics simulator LAMMPS was released as an open source code in 2004, it has become a widely-used tool for particle-based modeling of materials at length scales ranging from atomic to mesos...

Neste artigo é discutido o impacto relevante causado pelo uso de simulações na aprendizagem significativa. O acesso às simulações na área de Física representa um incremento considerável na compreensão conceitua...

En el siguiente trabajo se expone una propuesta metodológica para la enseñanza de sistemas cinemáticos y su modelización a través de herramientas informáticas. Para ello se incorpora a la resolución teórica de pr...

Se presenta una propuesta de incorporación de trabajos prácticos o laboratorio virtual basados en simulación a la enseñanza-aprendizaje de la Física en los primeros cursos universitarios, con posible extensión al n...

Materie / parole chiave: learning physics, teaching physics, physics education; Education: Special aspects of education; Science: Physics

Materie / parole chiave: teaching physics, learning physics, physics education; Education: Special aspects of education; Science: Physics

Abstract As a large-scale mining excavator, the electric shovel (ES) has been extensively employed in open-pit mines for overburden removal and mineral loading. In the development of unmanned operations for ES, dynamic e...

Abstract Despite significant progress in the Prognostics and Health Management (PHM) domain using pattern learning systems from data, machine learning (ML) still faces challenges related to limited generalization and wea...

Abstract Electric cable shovel (ECS) is a complex production equipment, which is widely utilized in open-pit mines. Rational valuations of load is the foundation for the development of intelligent or unmanned ECS, since ...

The popular Q-learning algorithm is known to overestimate action values under certain conditions. It was not previously known whether, in practice, such overestimations are common, whether they harm performance, and whet...

Abstract This study examines the evidence for the effectiveness of active learning. It defines the common forms of active learning most relevant for engineering faculty and critically examines the core element of each me...

Recent ethnographic studies of workplace practices indicate that the ways people actually work usually differ fundamentally from the ways organizations describe that work in manuals, training programs, organizational cha...

Ch. Argyris, D. A. Schön, Organizational Learning: A Theory of Action Perspective, Reis: Revista Española de Investigaciones Sociológicas, No. 77/78, Monográfico sobre la Formación y las Organizaciones (Jan. - Jun.,...

Materie / parole chiave: Sketch; Action (physics); Markov process; Markov decision process; Convergence (economics); Computer science; Q-learning; Simple (philosophy); Mathematical optimization; Dynamic programming; Artificial intelligence; Math...

Recurrent neural networks (RNNs) have been widely adopted in research areas concerned with sequential data, such as text, audio, and video. However, RNNs consisting of sigma cells or tanh cells are unable to learn the re...

Materie / parole chiave: Mechanics; Stability (learning theory); Physics; Classical mechanics; Computer science; Machine learning

Anomaly detection is an important problem that has been researched within diverse research areas and application domains. Many anomaly detection techniques have been specifically developed for certain application domains...

An exact stochastic simulation of the Schroedinger equation for charged bosons and fermions has been used to calculate the correlation energies, to locate the transitions to their respective crystal phases at zero temper...