Predicting and Testing Latencies with Deep Learning: An IoT Case Study

Bernhard Aichernig; Franz Pernkopf; Richard Alexander Schumi; Andreas Wurm

doi:10.1007/978-3-030-31157-5\_7

Predicting and Testing Latencies with Deep Learning: An IoT Case Study

Bernhard Aichernig, Franz Pernkopf, Richard Alexander Schumi, Andreas Wurm

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

Originalsprache	englisch
Titel	Tests and Proofs - 13th International Conference, {TAP} 2019, Held as Part of the Third World Congress on Formal Methods 2019, Porto, Portugal, October 9-11, 2019, Proceedings
Herausgeber (Verlag)	Springer
Seiten	93-111
DOIs	https://doi.org/10.1007/978-3-030-31157-5\_7
Publikationsstatus	Veröffentlicht - 2019

Publikationsreihe

Name	Lecture Notes in Computer Science
Band	11823

Fields of Expertise

Information, Communication & Computing

Zugriff auf Dokument

10.1007/978-3-030-31157-5\_7

Verlaesslichkeit im Internet der Dinge
Boano, C. A., Kubin, G., Bloem, R., Horn, M., Pernkopf, F., Zakany, N., Mangard, S., Witrisal, K., Römer, K. U., Aichernig, B., Bösch, W., Baunach, M. C., Tappler, M., Malenko, M., Weiser, S., Eichlseder, M., Leitinger, E., Grosinger, J., Großwindhager, B., Ebrahimi, M., Alothman Alterkawi, A. B., Knoll, C., Teschl, R., Saukh, O., Rath, M., Steinberger, M., Steinbauer-Wagner, G. & Tranninger, M.
1/01/16 → 31/03/22
Projekt: Forschungsprojekt

Predicting and Testing Latencies with Deep Learning: an IoT Case Study
Bernhard Aichernig (Redner/in)
10 Okt. 2019
Aktivität: Vortrag oder Präsentation › Vortrag bei Konferenz oder Fachtagung › Science to science

Dieses zitieren

Aichernig, B., Pernkopf, F., Schumi, R. A., & Wurm, A. (2019). Predicting and Testing Latencies with Deep Learning: An IoT Case Study. in Tests and Proofs - 13th International Conference, {TAP} 2019, Held as Part of the Third World Congress on Formal Methods 2019, Porto, Portugal, October 9-11, 2019, Proceedings (S. 93-111). (Lecture Notes in Computer Science; Band 11823). Springer. https://doi.org/10.1007/978-3-030-31157-5\_7

Predicting and Testing Latencies with Deep Learning: An IoT Case Study. / Aichernig, Bernhard ; Pernkopf, Franz; Schumi, Richard Alexander et al.
Tests and Proofs - 13th International Conference, {TAP} 2019, Held as Part of the Third World Congress on Formal Methods 2019, Porto, Portugal, October 9-11, 2019, Proceedings. Springer, 2019. S. 93-111 (Lecture Notes in Computer Science; Band 11823).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

Aichernig, B , Pernkopf, F, Schumi, RA & Wurm, A 2019, Predicting and Testing Latencies with Deep Learning: An IoT Case Study. in Tests and Proofs - 13th International Conference, {TAP} 2019, Held as Part of the Third World Congress on Formal Methods 2019, Porto, Portugal, October 9-11, 2019, Proceedings. Lecture Notes in Computer Science, Bd. 11823, Springer, S. 93-111. https://doi.org/10.1007/978-3-030-31157-5\_7

Aichernig B , Pernkopf F, Schumi RA, Wurm A. Predicting and Testing Latencies with Deep Learning: An IoT Case Study. in Tests and Proofs - 13th International Conference, {TAP} 2019, Held as Part of the Third World Congress on Formal Methods 2019, Porto, Portugal, October 9-11, 2019, Proceedings. Springer. 2019. S. 93-111. (Lecture Notes in Computer Science). doi: 10.1007/978-3-030-31157-5\_7

Aichernig, Bernhard ; Pernkopf, Franz ; Schumi, Richard Alexander et al. / Predicting and Testing Latencies with Deep Learning: An IoT Case Study. Tests and Proofs - 13th International Conference, {TAP} 2019, Held as Part of the Third World Congress on Formal Methods 2019, Porto, Portugal, October 9-11, 2019, Proceedings. Springer, 2019. S. 93-111 (Lecture Notes in Computer Science).

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title = "Predicting and Testing Latencies with Deep Learning: An IoT Case Study",

author = "Bernhard Aichernig and Franz Pernkopf and Schumi, {Richard Alexander} and Andreas Wurm",

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Predicting and Testing Latencies with Deep Learning: An IoT Case Study

Publikationsreihe

Fields of Expertise

Zugriff auf Dokument

Projekte

Verlaesslichkeit im Internet der Dinge

Aktivitäten

Predicting and Testing Latencies with Deep Learning: an IoT Case Study

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