In this review paper, we computationally analyze a vast volume of published articles in the
field of Adaptive Learning, as obtained by the Scopus Database. Particularly, we use a …

Data-driven models utilizing powerful artificial intelligence (AI) algorithms have been
implemented over the past two decades in different fields of simulation-based engineering …

A collection of thirty mathematical functions that can be used for optimization purposes is
presented and investigated in detail. The functions are defined in multiple dimensions, for …

We present a numerical scheme for computation of Artificial Neural Networks (ANN) weights,
which stems from the Universal Approximation Theorem, avoiding costly iterations. The …

Scientific literature is prosperously evolving, exhibiting exponential growth in the last
decades. For a wide range of scientific thematic areas, it is hard or even impossible for …

A collection of thirty mathematical functions that can be used for optimization purposes is
presented and investigated in detail. The functions are defined in multiple dimensions, for …

Multiple sclerosis (MS) is a disease that deteriorates the central human nervous system,
which can potentially cause significant brain, spinal cord and visual problems. Based on …

In this review paper, we computationally analyze a vast volume of published articles in the
field of Adaptive Learning, as obtained by the Scopus Database. Particularly, we use a …

Abstract Research in Multiple Sclerosis (MS) has attracted extensive attention from the
scientific field of machine learning due to its dependency on a variety of medical parameters …

Atomistic molecular simulations are capable to predict the properties of systems, and
materials, starting from their atomic microstructure. To enhance the range of spatiotemporal …