In recent years, some attention has been driven to modeling, simulation, and optimization
techniques capable of representing and improving discrete event systems. These …

Smart Grids consist of multiple actors and physical phenomena, which are often difficult to
capture in one single simulation framework. Therefore, researchers increasingly couple …

Despite the creation of thousands of machine learning (ML) models, the promise of
improving patient care with ML remains largely unrealized. Adoption into clinical practice is …

Discrete Event Simulation (DES) is an essential tool for network practitioners. Unfortunately,
existing DES simulators cannot achieve satisfactory performance at the scale of modern …

Network simulators are an essential tool for network operators, and can assist important
tasks such as capacity planning, topology design, and parameter tuning. Popular simulators …

The concept of digital twin demands fast and efficient methods to distribute, initialize, and
execute simulation models that replicate real-world systems and processes. In the field of …

A maturing and promising technology, Cloud computing can benefit large‐scale simulations
by providing on‐demand, anywhere simulation services to users. In order to enable …

This paper describes a computationally efficient parallel-computing framework for
mesoscopic transportation simulation on large-scale networks. By introducing an overall …

The study aims to develop a conceptual framework for assisting tourism educators to
construct an Events Management Training Simulation (EMTS) educational tool. The …

This paper introduces a new Discrete EVent system Specification (DEVS) modeling and
simulation library implemented in Ruby: a dynamic, reflective, object-oriented programming …