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

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Original languageEnglish
Title of host publicationTests 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
PublisherSpringer
Pages93-111
DOIs
Publication statusPublished - 2019

Publication series

NameLecture Notes in Computer Science
Volume11823

Fields of Expertise

  • Information, Communication & Computing

Cite this

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 (pp. 93-111). (Lecture Notes in Computer Science; Vol. 11823). Springer. https://doi.org/10.1007/978-3-030-31157-5\_7