Thousands of videos are posted on websites and social media every day, including Twitter,
Facebook, WhatsApp, Instagram, and YouTube. Newspapers, law enforcement publications …

Memristors have been utilized as an unconventional computational substrate and gained
interest as a medium to implement neuromorphic computations. A mathematical model that …

A predictive method using physics-informed machine learning (PIML) and large eddy
simulation (LES) is developed to capture the transient flow field through microscale porous …

During the past decades, computer science experts were inspired from the study of
biological organisms. Moreover, bio-inspired algorithms were produced that many times can …

This paper presents an adaptive and intelligent sparse model for digital image sampling and
recovery. In the proposed sampler, we adaptively determine the number of required samples …

Inspired by the behavior of natural systems, Cellular Automata (CA) tackle the demanding
long-distance information transfer of conventional computers by the massive parallel …

Cellular automata (CAs) are fully-discrete dynamical models that have received much
attention due to the fact that their relatively simple setup can nonetheless express highly …

Discrete models such as cellular automata may be ported from one platform or language
onto another to improve performances, for instance by rewriting legacy Matlab code into C++ …

This paper discusses a special technique, called conditionally matching rules (CMRs), for
the representation of transition functions of cellular automata (CA) and its application to the …

Various patterns and figures are used widely in image processing including tests of various
algorithms, compressing images and also creating/displaying them in computer games. In …