Veröffentlichungen
Sphynx ist in der Regel Partner in Forschungsprojekten, die neue und innovative Ergebnisse hervorbringen. Hier finden Sie einen Index aller Forschungsarbeiten und Veröffentlichungen, an denen unsere Teammitglieder mitgewirkt haben:
2021
Danilatou V. et al., 2021. Automated machine learning algorithms in prediction of intensive care unit readmission of patients with thrombosis. 32nd Congress of the Hellenic Society of Haematology, November 11-14, 2021, Athens
2021
V. Bellandi et al., 2021. Engineering Continuous Monitoring of Intrinsic Capacity for Elderly People, 2021 IEEE International Conference on Digital Health (ICDH), 2021, pp. 166-171, doi:10.1109/ICDH52753.2021.00030
2021
Schlee, W. et al., 2021. Towards a unification of treatments and interventions for tinnitus patients: The EU research and innovation action UNITI. Progress in brain research, 260, 441–451
2020
Pateraki et al., 2020. Chapter 2 – Biosensors and Internet of Things in smart healthcare applications: challenges and opportunities, In Advances in ubiquitous sensing applications for healthcare, Wearable and Implantable Medical Devices, Academic Press, Volume 7, 2020, Pages 25-53, ISBN 9780128153697, DOI: 10.1016/B978-0-12-815369-7.00002-1
2020
Hatzivasilis G. et al., 2020. MobileTrust: Secure Knowledge Integration in VANETs. ACM Transactions on Cyber-Physical Systems, 4 (3), 33
2020
Saunders et al., 2020. Application of Big Data to Support Evidence-Based Public Health Policy Decision-Making for Hearing. Ear and Hearing. 2020 Jan, DOI: 10.1097/aud.0000000000000850
2020
Bröring et al., 2020. Networking-Aware IoT Application Development, Sensors. 2020; 20(3):897, DOI: 10.3390/s20030897
2020
Miaoudakis et al., 2020. Pairing a Circular Economy and the 5G-Enabled Internet of Things: Creating a Class of “Looping Smart Assets”, in IEEE Vehicular Technology Magazine, vol. 15, no. 3, pp. 20-31, Sept. 2020, DOI: 10.1109/MVT.2020.2991788
2020
Smyrlis et al., 2020. Cyber Range Training Programme Specification Through Cyber Threat and Training Preparation Models, 2nd Model-Driven Simulation and Training Environments for Cybersecurity (MSTEC), co-located with the European Symposium on Research in Computer Security (ESORICS), Guildford, UK, 17 Sept. 2020
2020
Papoutsakis et al., 2020. A Pattern-Driven Adaptation in IoT Orchestrations to Guarantee SPDI Properties, 2nd Model-Driven Simulation and Training Environments for Cybersecurity (MSTEC), co-located with the European Symposium on Research in Computer Security (ESORICS), Guildford, UK, 17 Sept. 2020
