Zobrazeno 1 - 10
of 9 656
pro vyhledávání: '"Schlögl, A."'
Kripke models are an effective and widely used tool for representing epistemic attitudes of agents in multi-agent systems, including distributed systems. Dynamic Epistemic Logic (DEL) adds communication in the form of model transforming updates. Priv
Externí odkaz:
http://arxiv.org/abs/2406.10010
Exploring Machine Learning Algorithms for Infection Detection Using GC-IMS Data: A Preliminary Study
Autor:
Sardianos, Christos, Symvoulidis, Chrysostomos, Schlögl, Matthias, Varlamis, Iraklis, Papadopoulos, Georgios Th.
The developing field of enhanced diagnostic techniques in the diagnosis of infectious diseases, constitutes a crucial domain in modern healthcare. By utilizing Gas Chromatography-Ion Mobility Spectrometry (GC-IMS) data and incorporating machine learn
Externí odkaz:
http://arxiv.org/abs/2404.15757
Publikováno v:
Schlogl, S., Doherty, G., & Luz, S. (2015). Wizard of Oz Experimentation for Language Technology Applications: Challenges and Tools. Interacting with Computers 27(6), pp. 592-615
Wizard of OZ (WOZ) is a well-established method for simulating the functionality and user experience of future systems. Using a human wizard to mimic certain operations of a potential system is particularly useful in situations where extensive engine
Externí odkaz:
http://arxiv.org/abs/2402.14563
Knowledge about historic landslide event occurrence is important for supporting disaster risk reduction strategies. Building upon findings from 2022 Landslide4Sense Competition, we propose a deep neural network based system for landslide detection an
Externí odkaz:
http://arxiv.org/abs/2312.16717
Autor:
Zehua Li, Eylül Öztuna, Katarzyna Skorupska, Olga V. Vinogradova, Afshan Jamshaid, Alexander Steigert, Christian Rohner, Maria Dimitrakopoulou, Mauricio J. Prieto, Christian Kunkel, Matus Stredansky, Pierre Kube, Michael Götte, Alexandra M. Dudzinski, Frank Girgsdies, Sabine Wrabetz, Wiebke Frandsen, Raoul Blume, Patrick Zeller, Martin Muske, Daniel Delgado, Shan Jiang, Franz-Philipp Schmidt, Tobias Köhler, Manuela Arztmann, Anna Efimenko, Johannes Frisch, Tathiana M. Kokumai, Raul Garcia-Diez, Marcus Bär, Adnan Hammud, Jutta Kröhnert, Annette Trunschke, Christoph Scheurer, Thomas Schmidt, Thomas Lunkenbein, Daniel Amkreutz, Helmut Kuhlenbeck, Vanessa J. Bukas, Axel Knop-Gericke, Rutger Schlatmann, Karsten Reuter, Beatriz Roldan Cuenya, Robert Schlögl
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Future carbon management strategies require storage in elemental form, achievable through a sequence of CO2 hydrogenation reactions. Hydrogen is recycled from molecular intermediates by dehydrogenation, and side product acetylene selectively
Externí odkaz:
https://doaj.org/article/6b2bc0e5acf74e049eed478a8a45e820
The Digital Twin is a well-known concept of industry 4.0 and is the cyber part of a cyber-physical production system providing several benefits such as virtual commissioning or predictive maintenance. The existing production systems are lacking a Dig
Externí odkaz:
http://arxiv.org/abs/2310.04422
Self-disclosure counts as a key factor influencing successful health treatment, particularly when it comes to building a functioning patient-therapist-connection. To this end, the use of chatbots may be considered a promising puzzle piece that helps
Externí odkaz:
http://arxiv.org/abs/2307.12345
Autor:
Schlögl, Thomas, Schmid, Ulrich
Publikováno v:
EPTCS 379, 2023, pp. 487-506
Existing protocols for byzantine fault tolerant distributed systems usually rely on the correct agents' ability to detect faulty agents and/or to detect the occurrence of some event or action on some correct agent. In this paper, we provide sufficien
Externí odkaz:
http://arxiv.org/abs/2304.00389
Modern, state-of-the-art Convolutional Neural Networks (CNNs) in computer vision have millions of parameters. Thus, explaining the complex decisions of such networks to humans is challenging. A technical approach to reduce CNN complexity is network p
Externí odkaz:
http://arxiv.org/abs/2302.08878
Driven by ongoing improvements in machine learning, chatbots have increasingly grown from experimental interface prototypes to reliable and robust tools for process automation. Building on these advances, companies have identified various application
Externí odkaz:
http://arxiv.org/abs/2302.00397