Simulation Tools and Techniques -

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Résumé :
.- Simulation Tools and Methods. .- A DEVS-based methodology for simulation and model-driven development of IoT. .- Performance Evaluation of a Legacy Real-Time System: An Improved RAST Approach. .- KNXsim: Simulator tool for KNX home automation training by means of group addresses. .- Development of a 3D visualization interface for virtualized UAVs. .- Test-Driven Simulation of Robots Controlled by Enzymatic Numerical P Systems Models. .- PySPN: An Extendable Python Library for Modeling & Simulation of Stochastic Petri Nets. .- Replacing Sugarscape: A Comprehensive, Expansive, and Transparent Reimplementation. .- Artificial Intelligence and Simulation. .- Generative AI with Modeling and Simulation of Activity and Flow-based Diagrams. .- Wildfire Risk Mapping based on Mutlti-Source Data and Machine Learning. .- An Intelligent Ranking Evaluation Method of Simulation Models Based on Graph Neural Network. .- Simulation of drinking water infrastructures through artificial intelligence-based modelling for sustainability improvement. .- Transportation and Logistics. .- Spatio-temporal Speed Metrics for Traffic State Estimation on complex Urban Roads. .- Integrating Efficient Routes with Station Monitoring for Electric Vehicles in Urban Environments: Simulation and Analysis. .- Comparing the Efficiency of Traffic Simulations using Cellular Automata. .- Multi-Agent Simulation for Scheduling and Path Planning of Autonomous Intelligent Vehicles. .- Medical Sciences. .- ECG pre-processing and feature extraction tool for intelligent simulation systems. .- OTOVIRT: An image-guided workflow for individualized surgical planning and multiphysics simulation in cochlear implant patients. .- Network Simulations. .- Adaptive sharing of IoT resources through SDN-based microsegmentation of services using Mininet. .- UAV-Assisted Wireless Communications: An Experimental Analysis of A2G and G2A Channels. .- Trajectory-Aware Rate Adaptation for Flying Networks.- Rate Adaptation Aware Positioning for Flying Gateways using Reinforcement Learning. .- RateRL: A Framework for Developing RL-Based Rate Adaptation Algorithms in ns-3. .- On the Analysis of Computational Delays in Reinforcement Learning-based Rate Adaptation Algorithms....