Zobrazeno 1 - 10
of 2 191
pro vyhledávání: '"Lange, Christoph"'
Autor:
Arnold, Benedikt T., Theissen-Lipp, Johannes, Collarana, Diego, Lange, Christoph, Geisler, Sandra, Curry, Edward, Decker, Stefan
Dataspaces have recently gained adoption across various sectors, including traditionally less digitized domains such as culture. Leveraging Semantic Web technologies helps to make dataspaces FAIR, but their complexity poses a significant challenge to
Externí odkaz:
http://arxiv.org/abs/2403.15451
Autor:
Zoubia, Oussama, Boukhers, Zeyd, Asundi, Nagaraj Bahubali, Dogan, Sezin, Koumpis, Adamantios, Lange, Christoph, Beyan, Oya
The concept of FAIR Digital Objects (FDOs) aims to revolutionise the field of digital preservation and accessibility in the next few years. Central to this revolution is the alignment of FDOs with the FAIR (Findable, Accessible, Interoperable, Reusab
Externí odkaz:
http://arxiv.org/abs/2402.03812
Autor:
Lange, Christoph, Thiele, Isabel, Santolin, Lara, Riedel, Sebastian L., Borisyak, Maxim, Neubauer, Peter, Bournazou, M. Nicolas Cruz
In biotechnology Raman Spectroscopy is rapidly gaining popularity as a process analytical technology (PAT) that measures cell densities, substrate- and product concentrations. As it records vibrational modes of molecules it provides that information
Externí odkaz:
http://arxiv.org/abs/2402.00851
Our vision paper outlines a plan to improve the future of semantic interoperability in data spaces through the application of machine learning. The use of data spaces, where data is exchanged among members in a self-regulated environment, is becoming
Externí odkaz:
http://arxiv.org/abs/2303.08932
Scholars often need to search for matching, high-profile sci-entific events to publish their research results. Information about topical focus and quality of events is not made suÿciently explicit in the existing communication channels where events
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A15939
https://ul.qucosa.de/api/qucosa%3A15939/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A15939/attachment/ATT-0/
Autor:
Karim, Md. Rezaul, Islam, Tanhim, Beyan, Oya, Lange, Christoph, Cochez, Michael, Rebholz-Schuhmann, Dietrich, Decker, Stefan
Artificial intelligence (AI) systems utilizing deep neural networks (DNNs) and machine learning (ML) algorithms are widely used for solving important problems in bioinformatics, biomedical informatics, and precision medicine. However, complex DNNs or
Externí odkaz:
http://arxiv.org/abs/2212.13261
Publikováno v:
Optica 10, 11-19 (2023)
The achievement of large values of the light-matter coupling in nanoengineered photonic structures can lead to multiple photonic resonances contributing to the final properties of the same hybrid polariton mode. We develop a general theory describing
Externí odkaz:
http://arxiv.org/abs/2207.11691
Autor:
Gillespie, Stephen H, DiNardo, Andrew R, Georghiou, Sophia B, Sabiiti, Wilber, Kohli, Mikashmi, Panzner, Ursula, Kontsevaya, Irina, Hittel, Norbert, Stuyver, Lieven J, Tan, Jia Bin, van Crevel, Reinout, Lange, Christoph, Thuong, Thuong Nguyen Thuy, Heyckendorf, Jan, Ruhwald, Morten, Heinrich, Norbert
Publikováno v:
In The Lancet Microbe September 2024 5(9)
