Detecting Compromised Structural Integrity - An AI tool for Critical Infrastructure Operators working towards Climate Resilience
Project SUNRISE's blog
"Critical infrastructure operators across Europe must prepare their facilities, equipment, and personnel to operate under more strenuous conditions in a warming climate.
UAV AI Remote Inspection. Unleashing the power of V-LLM?
Project SUNRISE's blog
It is widely known that we are living through a historic moment in the field of artificial intelligence (AI), capturing the attention of the entire world with spectacular results across multiple application fields, especially in text and image generation.
An Approach to Support Automated Deployment of Applications on Heterogeneous Cloud-HPC Infrastructures
22nd International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)
Complex applications, which include microservices, computationally intensive batch jobs, and sophisticated interaction with the external environment, demand for heterogeneous computational infrastructures that range from cloud to HPC and edge computing.
MegaM@Rt2 EU Project: Open Source Tools for Mega-Modelling at Runtime of CPSs
16th International Conference on Open Source Systems
The MegaM@ Rt2 ECSEL project: MegaModelling at Runtime–Scalable model-based framework for continuous development and runtime validation of complex systems
This paper presents an overview of the ECSEL 1 project entitled “MegaModelling at runtime – Scalable model-based framework for continuous development and runtime validation of complex systems” (MegaM@Rt2), whose aim is to address the challenges facing MDE.
A Situational Approach for the Definition and Tailoring of a Data-Driven Software Evolution Method
Successful software evolution heavily depends on the selection of the right features to be included in the next release. Such selection is difficult, and companies often report bad experiences about user acceptance.
Grammar based genetic programming for software configuration problem
Software Product Lines (SPLs) capture commonalities and variability of product families, typically represented by means of feature models.
Grammar based genetic programming for software configuration problem
Software Product Lines (SPLs) capture commonalities and variability of product families, typically represented by means of feature models.
ARTIST: Model-Based Stairway to the Cloud
Over the past decade, cloud services emerged as one of the most promising technologies in IT.