Abstract is missing.
- Providing Evidence for the Validity of the Virtual Verification of Automated Driving SystemsBirte Neurohr, Thies de Graaff, Andreas Eggers, Tom Bienmüller, Eike Möhlmann. 5-13 [doi]
- What Level of Power Should We Give an Automation? - - Adjusting the Level of Automation in HCPS -Mehrnoush Hajnorouzi, Astrid Rakow, Akhila Bairy, Jan-Patrick Osterloh, Martin Fränzle. 14-21 [doi]
- A Physics-Based Fault Tolerance Mechanism for UAVs' Flight ControllerDiogo Costa, Anamta Khan, Naghmeh Ivaki, Henrique Madeira. 22-35 [doi]
- Defining an Effective Context for the Safe Operation of Autonomous SystemsMatt Osborne, Richard Hawkins. 36-48 [doi]
- Towards Continuous Assurance Case Creation for ADS with the Evidential Tool BusLev Sorokin, Radouane Bouchekir, Tewodros A. Beyene, Brian Hsuan-Cheng Liao, Adam Molin. 49-61 [doi]
- STARS: A Tool for Measuring Scenario Coverage When Testing Autonomous Robotic SystemsTill Schallau, Dominik Mäckel, Stefan Naujokat, Falk Howar. 62-70 [doi]
- Spatial-Temporal Graph Neural Network for Detecting and Localizing Anomalies in PMU NetworksTohid Behdadnia, Klaas Thoelen, Fairouz Zobiri, Geert Deconinck. 75-82 [doi]
- On the Application of Blockchain Technology in MicrogridsMaarten Evens, Patricia Ercoli, Alessia Arteconi. 83-90 [doi]
- Power System Transient Stability Prediction in the Face of Cyber Attacks: Employing LSTM-AE to Combat Falsified PMU DataBenyamin Jafari, Mehmet Akif Yazici. 91-103 [doi]
- Legal Framework on Trustworthy Artificial Intelligence and Blockchain Technology ApplicationIryna Sofinska. 104-107 [doi]
- An Exploratory Study on Trust in Blockchain-Enabled Energy TradingNiccolò Testi. 108-122 [doi]
- Inspecting Bridges and Critical Infrastructure: An AI and Blockchain ApproachAdriano Mancini, Alessandro Galdelli. 123-126 [doi]