CONVOLUTIONAL NEURAL NETWORKS AS A METHOD TO SOLVE ESTIMATION PROBLEM
OF ACOUSTIC WAVE PROPAGATION IN POROELASTIC MEDIA Page 1 News of the National …

With the presence of a large number of inversion algorithms for inverse heat transfer
problems (IHTPs) and non-IHTPs, a need for review to have a holistic view is seen. An …

This article is devoted to the description of a nonlinear partial differential equation, known as
the Korteweg-de Vries equation (KdV)[1]-[3]. To solve this equation numerically, we used a …

The growth in renewable energy sources and retirement of large baseload coalfired power
stations has led to an accompanying decrease in reliability and security of the electrical grid …

Microgrid tends to be the cluster of some of the renewable energy sources. The most
important research area in the power distribution system side is the improvement in the …

CLASSIFICATION OF SEISMIC PHASES BASED ON MACHINE LEARNING Page 1 ISSN
1991-346X Series physico-mathematical. 5. 2020 33 NEWS OF THENATIONAL ACADEMY OF …

In the course of recent years, progresses in sensor innovation has lead to increments in the
interest for automated strategies for investigating seismological signals. Fundamental to the …

Эта статья решает важный класс обратных задач теплопроводности, используя
нейронную сеть обратного распространения для выявления неизвестных граничных …

The exact inverse solutions for real measurements are becoming realistic with the progress
of computational performances. As an example, heat generation and release transients can …

1.1 Motivaçao Quando há transferência de calor através da fronteira comum entre dois
corpos materiais em contato fısico, observa-se experimentalmente que nessa interface há …