Food digestion is important for human health. Advances have been made using in vitro
models to study food digestion, but there is considerable potential for numerical approaches …

Fractional diffusion equations with conformable derivative have become an important
research topic in Newtonian mechanics, quantum mechanics, arbitrary time scale problems …

This paper pays more attention to the dynamic bifurcations of a fractional-order Cohen–
Grossberg neural network in the sense of the Caputo fractional derivative with three delays …

In the global economy, plastics are considered a versatile and ubiquitous material. It can
reach to marine ecosystems through diverse channels, such as road runoff, wastewater …

The concept of oscillator problems finds its indispensable presence in numerous dynamical
systems. Machine learning techniques for handling dynamical systems is a challenging and …

The human stomach is a complex organ. Its role is to degrade food particles by using
mechanical forces and chemical reactions in order to release nutrients. All ingested items …

In view of the fact that impulsive differential equations have the discreteness due to the
impulse phenomenon, this article proposes a single hidden layer neural network method …

Explosion flow fields are characterized by shock waves with varying intensity and position
(ie, explosive loads), which are the primary causes of structural damage. Accurate and rapid …

This paper presents an approach to prevent the incorrect transfer of fuel to the wrong tank
during refueling. An experimental setup was developed to perform ultrasonic and dielectric …

In this paper, a numerical method to solve second order nonlinear ordinary differential
equations with singular initial value problems was proposed. Here, block Legendre basis …