Zobrazeno 1 - 10
of 787
pro vyhledávání: '"Reichert, Manfred"'
This paper presents an investigation of the capabilities of Generative Pre-trained Transformers (GPTs) to auto-generate graphical process models from multi-modal (i.e., text- and image-based) inputs. More precisely, we first introduce a small dataset
Externí odkaz:
http://arxiv.org/abs/2406.04959
Autor:
Mangler, Juergen, Seiger, Ronny, Benzin, Janik-Vasily, Grüger, Joscha, Kirikkayis, Yusuf, Gallik, Florian, Malburg, Lukas, Ehrendorfer, Matthias, Bertrand, Yannis, Franceschetti, Marco, Weber, Barbara, Rinderle-Ma, Stefanie, Bergmann, Ralph, Asensio, Estefanía Serral, Reichert, Manfred
The IoT and Business Process Management (BPM) communities co-exist in many shared application domains, such as manufacturing and healthcare. The IoT community has a strong focus on hardware, connectivity and data; the BPM community focuses mainly on
Externí odkaz:
http://arxiv.org/abs/2405.08528
Autor:
Pryss, Rüdiger, Schlee, Winfried, Hoppenstedt, Burkhard, Reichert, Manfred, Spiliopoulou, Myra, Langguth, Berthold, Breitmayer, Marius, Probst, Thomas
Publikováno v:
Journal of Medical Internet Research, Vol 22, Iss 6, p e15547 (2020)
BackgroundTinnitus is often described as the phantom perception of a sound and is experienced by 5.1% to 42.7% of the population worldwide, at least once during their lifetime. The symptoms often reduce the patient’s quality of life. The TrackYourT
Externí odkaz:
https://doaj.org/article/aed5dc1f48674bd4a54904b50c357305
Publikováno v:
JMIR Serious Games, Vol 8, Iss 1, p e15374 (2020)
BackgroundThe management and comprehension of business process models are of utmost importance for almost any enterprise. To foster the comprehension of such models, this paper has incorporated the idea of a serious game called Tales of Knightly Proc
Externí odkaz:
https://doaj.org/article/be360365f0ef4056bbae5e307d776f45
Autor:
Pryss, Rüdiger, John, Dennis, Schlee, Winfried, Schlotz, Wolff, Schobel, Johannes, Kraft, Robin, Spiliopoulou, Myra, Langguth, Berthold, Reichert, Manfred, O'Rourke, Teresa, Peters, Henning, Pieh, Christoph, Lahmann, Claas, Probst, Thomas
Publikováno v:
JMIR mHealth and uHealth, Vol 7, Iss 10, p e13978 (2019)
BackgroundThe mobile phone app, TrackYourStress (TYS), is a new crowdsensing mobile health platform for ecological momentary assessments of perceived stress levels. ObjectiveIn this pilot study, we aimed to investigate the time trend of stress level
Externí odkaz:
https://doaj.org/article/34fa2afd4686493aa1020d74cea32d39
Autor:
Schobel, Johannes, Pryss, Rüdiger, Probst, Thomas, Schlee, Winfried, Schickler, Marc, Reichert, Manfred
Publikováno v:
JMIR mHealth and uHealth, Vol 6, Iss 6, p e148 (2018)
BackgroundMany research domains still heavily rely on paper-based data collection procedures, despite numerous associated drawbacks. The QuestionSys framework is intended to empower researchers as well as clinicians without programming skills to deve
Externí odkaz:
https://doaj.org/article/81b141ee38c04a8f8f5dfed6025dccfe
Autor:
Gaugel, Stefan, Reichert, Manfred
Publikováno v:
Engineering Applications of Artificial Intelligence, Volume 122, 2023
The fourth industrial revolution creates ubiquitous sensor data in production plants. To generate maximum value out of these data, reliable and precise time series-based machine learning methods like temporal neural networks are needed. This paper pr
Externí odkaz:
http://arxiv.org/abs/2302.10182
Predictive business process monitoring (PPM) has been around for several years as a use case of process mining. PPM enables foreseeing the future of a business process through predicting relevant information about how a running process instance might
Externí odkaz:
http://arxiv.org/abs/2202.08041
Predictive Process Monitoring (PPM) has been integrated into process mining tools as a value-adding task. PPM provides useful predictions on the further execution of the running business processes. To this end, machine learning-based techniques are w
Externí odkaz:
http://arxiv.org/abs/2202.08265