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Accurate and rapid gravitational waveform models for binary black hole coalescences

Setyawati, Yoshinta Eka (Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2021-09-29)

The first direct gravitational wave detection by LIGO and Virgo in 2015 marked the beginning of the gravitational wave astronomy era. Gravitational waves are an excellent tool to prove general relativity and unveil compact ...
An architectural framework for self-configuration and self-improvement at runtime

Tomforde, Sven (Hannover : Gottfried Wilhelm Leibniz Universität Hannover, 2011)

[no abstract]
A holistic evaluation concept for long-term structural health monitoring

Häckell, Moritz Werther (Hannover : Gottfried Wilhelm Leibniz Universität Hannover, 2015)

[no abstract]
Machine learning-based available bandwidth estimation

Khangura, Sukhpreet Kaur (Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2019)

Today’s Internet Protocol (IP), the Internet’s network-layer protocol, provides a best-effort service to all users without any guaranteed bandwidth. However, for certain applications that have stringent network performance ...
Profiling und automatisierte Einzelentscheidungen im Versicherungsbereich

Hänold, Stefanie (Institutionelles Repositorium der Leibniz Universität Hannover : Hannover, 2019-07-12)

Die Digitalisierungs- und Big Data-Bewegung wirkt sich auch auf die Versicherungsbranche erheblich aus. Die Flut an personenbezogenen Daten, die täglich generiert wird, und die Möglichkeiten, diese mittels Big Data ...
Smartphone Based Detection of Vehicle Encounters

Schimansky, Tim P.J.; Wage, Oskar; Golze, Jens; Feuerhake, Udo (New York, NY, USA : ACM, 2024)

Riding a bicycle in shared traffic alongside motor vehicles causes discomfort or even stress for many cyclists. Avoiding busy or crowded roads is only possible with good local knowledge, as no data is available on the ...
Social search in collaborative tagging networks : the role of ties

Bischoff, Kerstin (Hannover : Gottfried Wilhelm Leibniz Universität Hannover, 2013)

[no abstract]
Spatially detailed analysis of drill core samples with Laser-Induced Breakdown Spectroscopy: Detection, classification, and quantification of rare earth elements and lithium

Müller, Simon Arne (Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2023)

In the transformation towards climate neutral consumption, electric alternatives rise in favour of fossil energy sources in a variety of different fields. Lithium and several elements from the group of Rare Earth Elements ...
Towards automated phenotyping in plant tissue culture

Bethge, Hans Lukas (Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2023)

Plant in vitro culture techniques comprise important fundamental methods of modern plant research, propagation and breeding. Innovative scientific approaches to further develop the cultivation process, therefore, have the ...
Transmissibility-based monitoring and combination of damage feature decisions within a holistic structural health monitoring framework

Tsiapoki, Stavroula (Hannover : Institut für Statik und Dynamik, Leibniz Universität Hannover, 2018)

Over the past forty years, intensive research has been carried out in the field of structural health monitoring (SHM), since the identification of damage at an early stage contributes to avoiding structural failure and ...
Updating structural wind turbine blade models via invertible neural networks

Noever Castelos, Pablo (Hannover : Institut für Windenergiesystem, Leibniz Universität Hannover, 2023)

Wind turbine rotor blades are huge and complex composite structures that are exposed to exceptionally high loads, both extreme and fatigue loads. These can result in damages causing severe downtimes or repair costs. It is ...

Now showing items 1-11 of 11

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Browsing by Subject "maschinelles Lernen"

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