Zobrazeno 1 - 10
of 122
pro vyhledávání: '"Michael Seufert"'
Autor:
Katharina Dietz, Michael Muhlhauser, Jochen Kogel, Stephan Schwinger, Marleen Sichermann, Michael Seufert, Dominik Herrmann, Tobias Hosfeld
Publikováno v:
IEEE Access, Vol 12, Pp 79815-79837 (2024)
Intrusion Detection Systems (IDS) tackle the challenging task of detecting network attacks as fast as possible. As this is getting more complex in modern enterprise networks, Artificial Intelligence (AI) and Machine Learning (ML) have gained substant
Externí odkaz:
https://doaj.org/article/b80b0fd4c03f462d8e77738513b4e18f
Autor:
Haitham Afifi, Sabrina Pochaba, Andreas Boltres, Dominic Laniewski, Janek Haberer, Leonard Paeleke, Reza Poorzare, Daniel Stolpmann, Nikolas Wehner, Adrian Redder, Eric Samikwa, Michael Seufert
Publikováno v:
IEEE Access, Vol 12, Pp 54673-54720 (2024)
Machine learning has found many applications in network contexts. These include solving optimisation problems and managing network operations. Conversely, networks are essential for facilitating machine learning training and inference, whether perfor
Externí odkaz:
https://doaj.org/article/5b982b09f1ce4a29a7797224fa45a7f0
Publikováno v:
IEEE Access, Vol 11, Pp 25401-25414 (2023)
Group-based communication is a highly popular communication paradigm, which is especially prominent in mobile instant messaging (MIM) applications, such as WhatsApp. Chat groups in MIM applications facilitate the sharing of various types of messages
Externí odkaz:
https://doaj.org/article/21a714ee48464a03ac9d435c2228d1d5
Publikováno v:
Humanities & Social Sciences Communications, Vol 9, Iss 1, Pp 1-9 (2022)
Abstract The strict restrictions introduced by the COVID-19 lockdowns, which started from March 2020, changed people’s daily lives and habits on many different levels. In this work, we investigate the impact of the lockdown on the communication beh
Externí odkaz:
https://doaj.org/article/2c6ab766455a4ad68074f67b67c77183
Publikováno v:
Sensors, Vol 21, Iss 17, p 5880 (2021)
Crowdsensing offers a cost-effective way to collect large amounts of environmental sensor data; however, the spatial distribution of crowdsensing sensors can hardly be influenced, as the participants carry the sensors, and, additionally, the quality
Externí odkaz:
https://doaj.org/article/3f6eeb7030ec497385bbde9993c04b0f
Publikováno v:
IEEE Access. 11:25401-25414
Autor:
Florian Metzger, Stefan Geisler, Alexej Grigorjew, Frank Loh, Christian Moldovan, Michael Seufert, Tobias Hosfeld
Publikováno v:
IEEE Communications Surveys & Tutorials. 24:1894-1925
Publikováno v:
2022 IEEE 11th International Conference on Cloud Networking (CloudNet).
Publikováno v:
2022 18th International Conference on Network and Service Management (CNSM).
Autor:
Michael Seufert
Publikováno v:
The Catholic Biblical Quarterly. 84:308-310