This article reviews the current knowledge and recent advancements in computational
modeling of the cell cycle. It offers a comparative analysis of various modeling paradigms …

Artificial intelligence is becoming an increasingly popular tool in more and more areas of
technology. New challenges in control systems design and application are related to …

Optimization algorithms are essential tools used to address real-world problems through
minimization or maximization processes. In the context of photovoltaic (PV) systems, various …

Virtual globes are soft real-time systems, which stream multi-resolution data sets and render
world-scale landscapes in real-time. Such systems require an adaptation mechanism to …

This study aims to examine adaptability for educational games in terms of adaptation
elements, components used in creating user profiles, and decision algorithms used for …

Within the modeling and simulation community, simulation-based optimization has often
been successfully used to improve productivity and business processes. However, the …

In contested environments, self-exploration is a self-* property that serves as a proactive
mechanism for countering threats posed by adversaries. Specifically, self-exploration …

In engineering, cost minimization, especially in Computer Numerical Control (CNC)
machining like pocket milling, is crucial. Existing tool path definition software often lacks …

Fault detection, which requires a lot of time and complexity, is one of the most difficult tasks
for cloud computing. In this research, we investigate the utilization of the anytime algorithm …

Most of the multicomponent real-life signals, such as electroencephalogram (EEG), are non-
stationary having fast-and slowly-varying components. Their dynamics can precisely be …