by Lena Tasse | May 3, 2021
PI: Andrei Gurtov (LiU). Industry 4.0 (Focus theme 4) calls for combining industrial machine sensor connectivity with cloud big data analytics. Sample application areas include smart factories, autonomous ships and vehicles, predictive maintenance and optimizations of...
by Lena Tasse | May 3, 2021
PI: Anders Robertsson (LU). Co-PIs: R Johansson (LU), M Greiff (LU), R Tyllström (LU), E Rofors (LU). During commissioning, operation and decommissioning of nuclear power plants, particle accelerators and industries dealing with radioactive materials, there is a need...
by Lena Tasse | May 3, 2021
PI: Anders Rantzer (LU). Co-PIs: Richard Pates (LU), Claudio Altafini (LiU), Anders Hansson (LiU). This project aims to develop scalable algorithms to monitor, predict, and analyze data from large-scale dynamic networks. In line with ELLIIT focus theme Big Data and...
by Lena Tasse | May 3, 2021
Per Runeson, LU & Christian Kowalkowski, LiU With the emergence of machine learning (ML) techniques into Industry 4.0 applications, increasing volumes of data are required to train ML applications. This project explores novel business models for...
by Lena Tasse | May 3, 2021
Volker Krueger, LU & Per-Erik Forssén, LiU This project will address the areas of sensing, analytics and learning. We will develop a modular adaptable situation-aware approach for perception, such that autonomous robotic systems (ARS) such as autonomous cars or...
