Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Annie Antón"'
Autor:
Sokratis Katsikas, Frédéric Cuppens, Nora Cuppens-Boulahia, Costas Lambrinoudakis, Joaquin Garcia-Alfaro, Guillermo Navarro-Arribas, Pantaleone Nespoli, Christos Kalloniatis, John Mylopoulos, Annie Antón, Stefanos Gritzalis
This two-volume set LNCS 14398 and LNCS 14399 constitutes the refereed proceedings of eleven International Workshops which were held in conjunction with the 28th European Symposium on Research in Computer Security, ESORICS 2023, in The Hague, The Net
Autor:
Sokratis Katsikas, Frédéric Cuppens, Nora Cuppens, Costas Lambrinoudakis, Christos Kalloniatis, John Mylopoulos, Annie Antón, Stefanos Gritzalis, Frank Pallas, Jörg Pohle, Angela Sasse, Weizhi Meng, Steven Furnell, Joaquin Garcia-Alfaro
This book constitutes the refereed post-conference proceedings of the 5th International Workshop on Security of Industrial Control Systems and Cyber-Physical Systems, CyberICPS 2019, the Third International Workshop on Security and Privacy Requiremen
Autor:
Sokratis Katsikas, Frédéric Cuppens, Nora Cuppens, Costas Lambrinoudakis, Christos Kalloniatis, John Mylopoulos, Annie Antón, Stefanos Gritzalis, Weizhi Meng, Steven Furnell
This book constitutes the refereed post-conference proceedings of the 6th International Workshop on Security of Industrial Control Systems and Cyber-Physical Systems, CyberICPS 2020, the Second International Workshop on Security and Privacy Requireme
Autor:
Sokratis K. Katsikas, Frédéric Cuppens, Nora Cuppens, Costas Lambrinoudakis, Annie Antón, Stefanos Gritzalis, John Mylopoulos, Christos Kalloniatis
This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Workshop on the Security of Industrial Control Systems and Cyber-Physical Systems, CyberICPS 2018, and the Second International Workshop on Security an
Autor:
Jorge Lizarazu, Ehsan Harirchian, Umar Arif Shaik, Mohammed Shareef, Annie Antoni-Zdziobek, Tom Lahmer
Publikováno v:
Results in Engineering, Vol 20, Iss , Pp 101587- (2023)
The study presents a Machine Learning (ML)-based framework designed to forecast the stress-strain relationship of arc-direct energy deposited mild steel. Based on microstructural characteristics previously extracted using microscopy and X-ray diffrac
Externí odkaz:
https://doaj.org/article/98dde2ef952045bcaffa874b3858132c
Autor:
Sokratis K. Katsikas, Frédéric Cuppens, Nora Cuppens, Costas Lambrinoudakis, Christos Kalloniatis, John Mylopoulos, Annie Antón, Stefanos Gritzalis
This book constitutes the thoroughly refereed post-conference proceedings of the Third International Workshop on the Security of Industrial Control Systems and of Cyber-Physical Systems, CyberICPS 2017, and the First International Workshop on Securit