The smart factory leads to a strong digitalization of industrial processes and continuous
communication between the systems integrated into the production, storage, and supply …

This article presents a case study on estimating the real service inspection intervals for
German-brand passenger cars in Kazakhstan and Poland. This study aimed to identify …

Distributed Machine learning has delivered considerable advances in training neural
networks by leveraging parallel processing, scalability, and fault tolerance to accelerate the …

In recent years, there has been a significant increase in the development of autonomous
vehicles. One critical task for ensuring their safety and dependability, is obstacle avoidance …

One of the challenges of Industry 4.0, is to determine and optimize the flow of data, products
and materials in manufacturing companies. To realize these challenges, many solutions …

The article presents a multi-agent simulation utilizing fuzzy logic to explore battery
recharging management for Autonomous Industrial Vehicles (AIVs). This approach offers …

1 Résumé L'Industrie 4.0 entraîne une forte digitalisation des processus industriels, mais
aussi une augmentation significative de la communication et de la coopération entre les …

Since its creation in 2015, SUMO has successfully developed formal methods for large
quantitative systems, in particular addressing verification, synthesis and control problems …