Ultraschall-gestützte oberflächenchemische Prozesse für Aluminiumlegierungen zur Verbesserung des Korrosionsschutzes und der Haftung von Lackierungen und Verklebungen
Der Markt der Oberflächentechnik und des Korrosionsschutzes an Al-Werkstoffen ist traditionell sehr stark durch KMU geprägt. Diesen soll mit dem vorliegenden Projekt eine neue Methode der Oberflächenbehandlung mittels Ultraschall zur Verfügung gestellt werden. Durch die Verwendung von Ultraschall sollen intermetallische Phasen, die oftmals einen ...
Duration: 04/2021 - 09/2023
Funded by: AiF e.V.
BPM-I4.0 - Process mining for analyzing and prescribing industrial core processes
Nowadays, companies and their processes have to be adapted ever more quickly and flexibly. Process mining methods can create transparency and a better understanding of processes. Process mining makes it possible to identify, analyze and improve business processes based on data.Up to now, process mining research has primarily focused on structured ...
Duration: 04/2021 - 06/2023
Funded by: MWIDE NRW
Contact: Prof. Dr. Daniel Beverungen, Prof. Dr. Oliver Müller
Learning deep speech representations for phonetics research
The speech signal is a rich source of information that conveys not only linguistic but also extra/para-linguistic information, such as the speaker's identity, gender, emotional state, age, or the social status. However, those traits are hidden in complex, non-transparent variations of the speech signal, and mostly obscure to speech research. With ...
Duration: 04/2021 - 12/2024
Funded by: DFG
Performanzorientierte Professionalisierung in der Lehramtsausbildung
Duration: 04/2021 - 12/2025
Funded by: BMBF
Designing education for the digital world at Paderborn University
Firstly, the project will develop innovative formats to implement the curricular requirements in courses for the teaching profession. Secondly, an evaluation tool is being developed that maps the various elements of the framework concept at course level.
Duration: 04/2021 - 06/2023
Funded by: Stifterverband für die Deutsche Wissenschaft e.V.
Self-Regulated Learning for Entrepreneurs – Förderung der Selbstregulationsfähigkeit angehender Unternehmer*innen
Unternehmer/-innen stehen – gerade in der Gründungsphase – häufig vor der Herausforderung, unter großer Unsicherheit und auf Basis lückenhafter Informationen zu handeln. Die Forschung interessiert sich zunehmend für die Frage, welche psychologischen Merkmale Unternehmern/-innen dabei helfen, solche Unsicherheiten zu bewältigen. Wie entscheiden sie,
Duration: 04/2021 - 03/2024
Funded by: DFG
Prozessorientierte wirtschaftliche Bewertung und Auswahl von IT-Sicherheitsmaßnahmen
Aktuelle Technologien, bspw. aus den Bereichen Cloud-Computing oder Data-Science, bieten einerseits erhebliches Potential für den Erhalt und die Stärkung der Wettbewerbsposition von Unternehmen. Andererseits birgt die Einführung solcher Technologien neue Risiken, bspw. in Verbindung mit Data-Security, Cloud-Hacking oder Datenschutz. Um diesen ...
Duration: 04/2021 - 06/2024
Funded by: BMBF
SAFE - Streaming approaches for Europe Enhancing the digital competences by streaming approaches for schools to tackle the challenges of COVID-19
COVID-19 is affecting daily work in all schools. In the current situation, which is strongly characterized by the effects of contact restrictions due to the corona pandemic, it is becoming clear that schools at all levels, i.e. primary, secondary and upper secondary education, are faced with the challenge of teaching in online formats. The Erasmus+ ...
Duration: 03/2021 - 02/2023
Funded by: EU
tRATEmark - Automated evaluation of word marks using machine learning methods
Today, intangible assets determine an average of 84% of a company's value. Among these intangible assets, brands play an important role, which in the form of words, phrases and logos significantly favor the market success of a company. The project aims to develop a method for the automated valuation of brands that is capable of continuously ...
Duration: 03/2021 - 05/2023
Funded by: BMWK
Explainable Feature Importance: Interpretable machine learning through game theoretic analysis of influence variables and interaction effects
Machine learning (ML) methods support the search for patterns in data and relationships between variables, e.g. in complex bio-medical systems. In this way, they can provide new insights and improve decisions in fields of action such as medical diagnostics. In addition to the quality of the models learned from the data, the trust of human experts ...
Duration: 01/2021 - 12/2024
Funded by: MKW NRW