Zobrazeno 1 - 10
of 87
pro vyhledávání: '"Anna Wilbik"'
Publikováno v:
Digital Chemical Engineering, Vol 12, Iss , Pp 100161- (2024)
In this paper, we provide an overview of the technologies that enable digitalization in the chemical process industry and describe their applications to solve problems in industrial settings. This is done through the identification and categorization
Externí odkaz:
https://doaj.org/article/63f13bca9dbe47c79db1bb981fb20489
Autor:
Paul Grefen, Irene Vanderfeesten, Anna Wilbik, Marco Comuzzi, Heiko Ludwig, Estefania Serral, Frank Kuitems, Menno Blanken, Marcin Pietrasik
Publikováno v:
Machines, Vol 11, Iss 6, p 636 (2023)
The outcome economy is a relatively new economic and business paradigm that promotes focusing on the effects that the use of provided products and services create for customers in their markets, rather than focusing on these products or services them
Externí odkaz:
https://doaj.org/article/a57a3d7f58e4446abd2b4fbebd918274
Autor:
Anna Wilbik, Irene Vanderfeesten, Dennis Bergmans, Serge Heines, Oktay Turetken, Walther van Mook
Publikováno v:
Algorithms, Vol 16, Iss 2, p 109 (2023)
In healthcare settings, compliance with clinical protocols and medical guidelines is important to ensure high-quality, safe and effective treatment of patients. How to measure compliance and how to represent compliance information in an interpretable
Externí odkaz:
https://doaj.org/article/c2e99f6eaa914470a0d49b96fbdbf69d
Autor:
Morris Stallmann, Anna Wilbik
Publikováno v:
Applied Sciences, Vol 12, Iss 20, p 10455 (2022)
Federated learning is becoming increasingly popular to enable automated learning in distributed networks of autonomous partners without sharing raw data. Many works focus on supervised learning, while the area of federated unsupervised learning, simi
Externí odkaz:
https://doaj.org/article/7a7c7ae520a74185beddd372c1b31483
Publikováno v:
Algorithms, Vol 15, Iss 8, p 273 (2022)
Federated learning (FL) is a privacy-preserving distributed learning approach that allows multiple parties to jointly build machine learning models without disclosing sensitive data. Although FL has solved the problem of collaboration without comprom
Externí odkaz:
https://doaj.org/article/a2855a6aef384c618feb710dacf161e5
Publikováno v:
Software and Systems Modeling, 22, 709-731. Springer Verlag
Due to their unique characteristics, knowledge-intensive processes (KiPs) are difficult to capture with conventional modeling and management approaches. One such KiP is the advanced therapy medicinal product (ATMP) development process. ATMPs are high
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c96b0c44d7a83203df161191313fb91b
https://lirias.kuleuven.be/handle/20.500.12942/713241
https://lirias.kuleuven.be/handle/20.500.12942/713241
Publikováno v:
Algorithms; Volume 15; Issue 8; Pages: 273
Algorithms, 15(8):273. MDPI AG
Algorithms, 15(8):273. MDPI AG
Federated learning (FL) is a privacy-preserving distributed learning approach that allows multiple parties to jointly build machine learning models without disclosing sensitive data. Although FL has solved the problem of collaboration without comprom
Autor:
Jonathan Aechtner, Lena Cabrera, Dennis Katwal, Pierre Onghena, Diego Penroz Valenzuela, Anna Wilbik
Publikováno v:
2022 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE)
Artificial Intelligence (AI) has gained notable momentum, culminating in the rise of intelligent machines that deliver unprecedented levels of performance in many application sectors across the field. In recent years, the sophistication of these syst
Autor:
Anna Wilbik
Publikováno v:
STARTPAGE=9;ENDPAGE=11;TITLE=None
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62787cc954d2eecb3ec5e41f814f3c34
https://doi.org/10.5220/0011598500003332
https://doi.org/10.5220/0011598500003332
Publikováno v:
Proceedings of the 2021 IEEE International Conference on Internet of Things and Intelligence Systems, IoTaIS 2021, 28-34
STARTPAGE=28;ENDPAGE=34;TITLE=Proceedings of the 2021 IEEE International Conference on Internet of Things and Intelligence Systems, IoTaIS 2021
2021 IEEE International Conference on Internet of Things and Intelligence Systems, IoTaIS 2021, 28-34
STARTPAGE=28;ENDPAGE=34;TITLE=2021 IEEE International Conference on Internet of Things and Intelligence Systems, IoTaIS 2021
STARTPAGE=28;ENDPAGE=34;TITLE=Proceedings of the 2021 IEEE International Conference on Internet of Things and Intelligence Systems, IoTaIS 2021
2021 IEEE International Conference on Internet of Things and Intelligence Systems, IoTaIS 2021, 28-34
STARTPAGE=28;ENDPAGE=34;TITLE=2021 IEEE International Conference on Internet of Things and Intelligence Systems, IoTaIS 2021
In the current economy, we see a shift of focus from delivering products or services to delivering value or outcomes to customers, reflected in the concept of the outcome economy. The concept has been embraced by research andpractice but lacks proper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ddced2e58dc0d39b56769d328faf1e24
https://research.tue.nl/nl/publications/f6fce3bc-2d15-4425-a086-a3ed543f7700
https://research.tue.nl/nl/publications/f6fce3bc-2d15-4425-a086-a3ed543f7700