Over the last decade, machine learning (ML) and deep learning (DL) algorithms have
significantly evolved and been employed in diverse applications, such as computer vision …

This paper deals with self-adaptive real-time embedded systems (RTES). A self-adaptive
system can operate in different modes. Each mode encodes a set of real-time tasks. To be …

As machine learning (ML) has been proven effective in solving various problems,
researchers in the real-time systems (RT) community have recently paid increasing attention …

To reduce the latency of time-sensitive flows in Ethernet networks, the IEEE TSN Task Group
introduced the IEEE 802.1 Qbu Standard, which specifies a 1-level preemption scheme for …

Today's integrated circuit technologies allow the design of complete systems on a single
chip which execute complex applications specified as a set of tasks. The tasks are managed …

Praca niniejsza została ujęta w trzynastu rozdziałach. We wstępie zamieszczono ogólne
informacje dotyczące historycznego rozwoju informatycznych systemów sterowania oraz …

With increasing embedded application complexity, designers have proposed to introduce
new hardware architectures based on heterogeneous processing units on a single chip. For …

In previous work, the authors proposed an approach to the approximate solution of
scheduling problems, neural network based algorithms, applied to the preemptive and non …

Group communication in partitionable systems has been the focus of many research
activities over the last decade. Fault-tolerant applications in a partitionable system model …

Résumé Ce papier présente les premières réflexions sur l'extension de l'utilisation des
réseaux de neurones dans l'ordonnancement de tâches temps réel, à des architectures …