Összesen 40 elem 4 oldalon, 10 listázva, a(z) 1. oldal megjelenítve.Következő oldalÁtlépés a keresőbeIn English
Megjegyzés: This work has been partially supported by the European Union in the frame of the project European Dataspace for Growth and Education – Skills, short: EDGE Skills (101123471), and the Department of Navy award (N629092412063) issued by the Office of Naval Research.
Megjegyzés: This paper was partially supported by the Wallenberg AI, Autonomous Systems and Software Program (WASP) funded by the Knut and Alice Wallenberg Foundation and Vetenskapsrådet (VR), by the Doctoral Excellence Fellowship Programme (DCEP) funded by the National Research Development and Innovation Fund of the Ministry of Culture and Innovation and the Budapest University of Technology and Economics, and by the Department of Navy award (N629092412063) issued by the Office of Naval Research.
Megjegyzés: Funding Agency and Grant Number: Doctoral Excellence Fellowship Programme (DCEP) - National Research Development and Innovation Fund of the Ministry of Culture and Innovation; Budapest University of Technology and Economics [N629092412063]; Department of Navy award by the Office of Naval Research [N629092412063]
Funding text: The project was partially supported by the Doctoral Excellence Fellowship Programme (DCEP), funded by the National Research Development and Innovation Fund of the Ministry of Culture and Innovation and the Budapest University of Technology and Economics, and the Department of Navy award (N629092412063) issued by the Office of Naval Research. The computational resources were provided by the BME VIK CIR-CLE cloud infrastructure, which is developed and operated by BME IK and BME IIT, partially funded by faculty resources.Megjegyzés: Export Date: 24 October 2024