If an approach based on the gradient steepest descent is utilized to adapt the parameters of
a radial basis function network, then it requires dimensionality reduction of the input dataset …

While advanced imaging strategies have improved the diagnosis of bone-related
pathologies, early signs of bone alterations remain difficult to detect. The Covid-19 …

Synchrotron radiation technology provides high-resolution and high-sensitivity information
for many fields such as material science, life science, and energy research. Synchrotron …

The wear resistance of magnesium alloys is one of its key technological properties that
could limit their practical application. In accordance with ASTM G99–95a standard, this study …

In this study, we investigate the application of supervised machine learning algorithms for
estimating the Ultimate Tensile Strength (UTS) of Polylactic Acid (PLA) specimens fabricated …

Currently, the onset of bone damage and the interaction of cracks with the surrounding micro-
architecture are still black boxes. With the motivation to address this issue, our research …

Muscles are crucial for balance and walking, activities which depend specifically on the
lower extremity muscles. Therefore, the evaluation of stroke induced atrophy and paralysis is …

The recent advent of deep learning (DL) has enabled data-driven models to pave the way
for the full exploitation of rich image datasets from which physics can be learnt. Here we …

This study focuses on optimizing and designing the Delayed-Fix-Later Awaiting
Transmission Encoding (DEFLATE) algorithm to enhance its compression performance and …

Remote diagnosis enables healthcare professionals to evaluate and diagnose patients from
a distance using telecommunication technologies, enhancing healthcare delivery by …