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The KARYON project: Predictable and safe coordination in cooperative vehicular systems.

, , , , , , and . DSN Workshops, page 1-12. IEEE Computer Society, (2013)

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On the Performance of Byzantine Fault-Tolerant MapReduce., , , and . IEEE Trans. Dependable Sec. Comput., 10 (5): 301-313 (2013)Byzantine Fault-Tolerant MapReduce: Faults are Not Just Crashes., , , and . CloudCom, page 32-39. IEEE Computer Society, (2011)Dependability Benchmarking Using Software Faults: How to Create Practical and Representative Faultloads., , and . PRDC, page 289-294. IEEE Computer Society, (2009)A set of novel modifications to improve algorithms from the A* family applied in mobile robotics., , , , and . J. Braz. Comp. Soc., 19 (2): 167-179 (2013)Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis., , , , , , , , , and . CoRR, (2017)O-MedAL: Online Active Deep Learning for Medical Image Analysis., , , , , , , , , and 2 other author(s). CoRR, (2019)MedAL: Deep Active Learning Sampling Method for Medical Image Analysis., , , , , , , , and . CoRR, (2018)Bath-Ambience - A Mechatronic System for Assisting the Caregivers of Bedridden People., , , , , , and . Sensors, 17 (5): 1156 (2017)On the behaviour of low cost laser scanners in HW/SW particle filter SLAM applications., , , , and . Robotics and Autonomous Systems, (2016)A Comparison of A* and RRT* Algorithms with Dynamic and Real Time Constraint Scenarios for Mobile Robots., , , , , and . SIMULTECH, page 398-405. SciTePress, (2019)