Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Philipp Zehnder"'
Autor:
Kai Hoffeld, Olivia Mair, Markus Wurm, Philipp Zehnder, Dominik Pförringer, Peter Biberthaler, Chlodwig Kirchhoff, Michael Zyskowski
Publikováno v:
Medicina, Vol 58, Iss 8, p 1033 (2022)
Background and objectives: Electromobility has become increasingly popular. In 2001, Segway personal transporters (Segway) were established for tourists, and e-scooters have been in use since their approval in 2019. The aim of this study was to analy
Externí odkaz:
https://doaj.org/article/9148b80954494fac96e2d256aeb19560
Autor:
Michael Zyskowski, Markus Wurm, Frederik Greve, Philipp Zehnder, Patrick Pflüger, Michael Müller, Peter Biberthaler, Chlodwig Kirchhoff
Publikováno v:
Journal of Clinical Medicine; Volume 11; Issue 23; Pages: 7178
(1) Background: As age in western populations is rising, so too are fractures, e.g., of the distal fibula. The aim of this study was to find out whether a novel, minimally invasive intramedullary osteosynthesis technique for the treatment of distal f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db9383068926c93b092464d6db91df7e
https://pubmed.ncbi.nlm.nih.gov/36498750
https://pubmed.ncbi.nlm.nih.gov/36498750
Publikováno v:
GI_Forum
The types of data available have changed in the last decade. While, historically, data were gathered in batches and distributed as such, e.g. as a database or shapefile, today we are dealing increasingly with real-time data. This data is produced and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5127a70e40bd8e7504db2be94066a9a
https://doi.org/10.1553/giscience2020_02_s107
https://doi.org/10.1553/giscience2020_02_s107
Publikováno v:
DEBS
The industrial IoT and its promise to realize data-driven decision-making by analyzing industrial event streams is an important innovation driver in the industrial sector. Due to an enormous increase of generated data and the development of specializ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79aa1d1893b6029892f964bc754b802f
https://doi.org/10.1145/3401025.3401764
https://doi.org/10.1145/3401025.3401764
Publikováno v:
The Semantic Web ISBN: 9783030494605
ESWC
ESWC
Accessing continuous time series data from various machines and sensors is a crucial task to enable data-driven decision making in the Industrial Internet of Things (IIoT). However, connecting data from industrial machines to real-time analytics soft
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49b976d43d35d823791d97b4f0c6e6fd
https://doi.org/10.1007/978-3-030-49461-2_39
https://doi.org/10.1007/978-3-030-49461-2_39
Publikováno v:
ICFEC
Distributed publish/subscribe systems are an enabling technology for Industrial Internet of Things applications. While the number of sensors increases, network bandwidth becomes a bottleneck. Existing solutions typically aim to reduce network load ei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a35264d6cc2c496026c75fd08f71aef4
https://doi.org/10.1109/cfec.2019.8733146
https://doi.org/10.1109/cfec.2019.8733146
Autor:
Dominik Riemer, Philipp Zehnder
Publikováno v:
IEEE BigData
Digital twins provide the opportunity to observe and simulate current and future behaviour of cyber-physical systems in a non-invasive way. At the same time, digital representations of real-world assets allow to compare multiple situations in paralle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12212915b01ab59bd5afd482ee8816ac
https://doi.org/10.1109/bigdata.2018.8622400
https://doi.org/10.1109/bigdata.2018.8622400
Autor:
Dominik Riemer, Philipp Zehnder
Publikováno v:
IEEE BigData
Many emerging application areas such as the Internet of Things rely on the usage of Machine Learning (ML) techniques that operate on continuous streaming data in order to automatically generate added business value. However, the integration of ML com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b707d6a966b11ae5883c38ff563fe920
https://doi.org/10.1109/bigdata.2017.8258170
https://doi.org/10.1109/bigdata.2017.8258170
Autor:
Dominik Riemer, Philipp Zehnder
Publikováno v:
IEEE BigData
In recent years, there has been an increasing need for flexible stream processing platforms that focus on enabling domain experts to model data processing pipelines using graphical user interfaces. Such pipelines can then be automatically deployed an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47df880be69fbef85a9f7cbd1e8fe2a5
https://doi.org/10.1109/bigdata.2017.8258571
https://doi.org/10.1109/bigdata.2017.8258571
Publikováno v:
BMVC
We propose a novel multi-class object detector, that optimizes the detection costs while retaining a desired detection rate. The detector uses a cascade that unites the handling of similar object classes while separating off classes at appropriate le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f288f005fb0e36f37c79b7255fbeacb
https://doi.org/10.5244/c.22.80
https://doi.org/10.5244/c.22.80