Bernhard Moser; Lukas Fischer; Atif Mashkoor; Johannes Sametinger; Anna-Christina Glock; Michael Mayr; Sabr Luftensteiner Springer International Publishing AG (2024) Pehmeäkantinen kirja
Christoph Fischer; Inga Graf; Robert Herold; Alexander Joist; Stephanie Kroesen; Markus Langner; Sebastian Lippert; Mielk Cornelsen Verlag GmbH (2021) Kovakantinen kirja
Gottfried Fischer; Robert Bering; Kurt Mosetter; Reiner Mosetter; Christiane Eichenberg; Adrian Fischer Asanger Verlag GmbH (2013) Pehmeäkantinen kirja
Klaus Fischer; Gerd Hölter; Wolfgang Beudels; Christina Jasmund; Astrid Krus; Stefanie Kuhlenkamp Springer Fachmedien Wiesbaden (2016) Pehmeäkantinen kirja
Christian Lindermayer; Martina Schmidt-Kessel; Kathrin Stauber; Dieter Bergmann; Anne Brendel; Franz Eisentraut; Fischer Buchner, C.C. Verlag (2021) Kovakantinen kirja
Angelika Thönneßen-Fischer; Robert Will; Klaus Tetling; Diana Schönenborn; Norbert Pabelick; Christoph Schappert; De Mohr Cornelsen Verlag GmbH (2023) Kovakantinen kirja
Angelika Thönneßen-Fischer; Robert Will; Klaus Tetling; Diana Schönenborn; Norbert Pabelick; Christoph Schappert; De Mohr Cornelsen Verlag GmbH (2023) Kovakantinen kirja
This volume constitutes the refereed proceedings of the workshops held at the 35th International Conference on Database and Expert Systems Applications, DEXA 2024, which took place in Naples, Italy, in August 2024.
The papers included in this book stem from the following workshops:
- 9th International Workshop on Cyber-Security and Functional Safety inCyber-Physical Systems (IWCFS 2024),
- 4th International Workshop on AI SystemEngineering: Math, Modelling and Software (AISys 2024),
- 2nd InternationalWorkshop on Certainty in Uncertainty: Exploring Probabilistic Approaches in AI (CIU2024)
The 10 full papers and 5 short papers were thoroughly reviewed and selected from a total of 24 submissions. They were organized in topical sections as follows: Cyber-security and functional safety in cyber-physical systems; AI system engineering: math, modelling, and software; certainty in uncertainty: exploring probabilistic approaches in AI.
