Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Faiza A. Bukhsh"'
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 6, Iss 3, Pp 1997-2017 (2024)
Research into explainable artificial intelligence (XAI) methods has exploded over the past five years. It is essential to synthesize and categorize this research and, for this purpose, multiple systematic reviews on XAI mapped out the landscape of th
Externí odkaz:
https://doaj.org/article/4ba16559bcb84ecb888b8c90992ac18c
Autor:
Konstantinos Kotzias, Faiza A. Bukhsh, Jeewanie Jayasinghe Arachchige, Maya Daneva, Abhishta Abhishta
Publikováno v:
IET Software, Vol 17, Iss 3, Pp 195-248 (2023)
Abstract Industry 4.0 refers to the digital transformation in the manufacturing domain through new technology. Currently, it expands well beyond manufacturing, affecting many areas of life and posing implications for all types of business. This paper
Externí odkaz:
https://doaj.org/article/32a7cdeaa1a54badb9e9da97ca0d58d3
Publikováno v:
Applied Sciences, Vol 11, Iss 22, p 10686 (2021)
Healthcare providers are legally bound to ensure the privacy preservation of healthcare metadata. Usually, privacy concerning research focuses on providing technical and inter-/intra-organizational solutions in a fragmented manner. In this wake, an o
Externí odkaz:
https://doaj.org/article/ce504c19ff7c424880e480590d250708
Autor:
Konstantinos Kotzias, Faiza A. Bukhsh, Jeewanie Jayasinghe Arachchige, Maya Daneva, Abhishta Abhishta
Publikováno v:
IET software.
Industry 4.0 refers to the digital transformation in the manufacturing domain through new technology. Currently, it expands well beyond manufacturing, affecting many areas of life and posing implications for all types of business. This paper focuses
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::605cc5cd3fd216bdfc5b0b0109f265bf
https://doi.org/10.1049/sfw2.12074
https://doi.org/10.1049/sfw2.12074
Publikováno v:
2021 International Conference on Frontiers of Information Technology (FIT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39a813970ad8d665903880f1d09649f4
https://doi.org/10.1109/fit53504.2021.00064
https://doi.org/10.1109/fit53504.2021.00064
Publikováno v:
Applied Sciences, Vol 11, Iss 10686, p 10686 (2021)
Applied Sciences
Volume 11
Issue 22
Applied Sciences
Volume 11
Issue 22
Healthcare providers are legally bound to ensure the privacy preservation of healthcare metadata. Usually, privacy concerning research focuses on providing technical and inter-/intra-organizational solutions in a fragmented manner. In this wake, an o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e47fb9879459739b24672b0c3e15c2fa
https://doi.org/10.3390/app112210686
https://doi.org/10.3390/app112210686
Autor:
Faiza Allah Bukhsh, Rob Bemthuis, Martijn Koot, Martijn R.K. Mes, Nirvana Meratnia, Maria-Eugenia Iacob
Publikováno v:
2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW), 54-64
STARTPAGE=54;ENDPAGE=64;TITLE=2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW)
EDOC Workshops
STARTPAGE=54;ENDPAGE=64;TITLE=2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW)
EDOC Workshops
Information systems leave a traceable digital footprint whenever an action is executed. Business process modelers capture these digital traces to understand the behavior of a system, and to extract actual run-time models of those business processes.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50dcd95b968e134c82fb3b79c0aee9e5
http://www.scopus.com/inward/record.url?scp=85076053543&partnerID=8YFLogxK
http://www.scopus.com/inward/record.url?scp=85076053543&partnerID=8YFLogxK
Publikováno v:
ICEIS (1)
Proceedings of the 23rd International Conference on Enterprise Information Systems (ICEIS), 1, 290-296
Proceedings of the 23rd International Conference on Enterprise Information Systems (ICEIS), 1, 290-296
When aggregating logistic event data from different supply chain actors and information systems for process mining, interoperability, data loss, and data quality are common challenges. This position paper proposes and evaluates the use of the Open Tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31e3cbde049d07713195557b290f6d16
https://doi.org/10.5220/0010477702900296
https://doi.org/10.5220/0010477702900296
Publikováno v:
Lecture Notes in Business Information Processing ISBN: 9783030799755
BMSD
BMSD
Non-functional requirements (NFRs) are often addressed late in a project and, in turn, can get less attention in the requirements prioritization (RP) process. For various reasons, RP may happen based on functional requirements (FRs) only. While many
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e8d61522c879c1cf0c022c86e6d5049
https://doi.org/10.1007/978-3-030-79976-2_21
https://doi.org/10.1007/978-3-030-79976-2_21
Autor:
Jeroen Geerdink, Shreyasi Pathak, Faiza Allah Bukhsh, Onno Vijlbrief, Christin Seifert, Maurice van Keulen, Francesca Marazza
Publikováno v:
International Journal of Environmental Research and Public Health
Volume 17
Issue 16
International Journal of Environmental Research and Public Health, Vol 17, Iss 5707, p 5707 (2020)
International journal of environmental research and public health, 17(16):5707, 1-23. MDPI
Volume 17
Issue 16
International Journal of Environmental Research and Public Health, Vol 17, Iss 5707, p 5707 (2020)
International journal of environmental research and public health, 17(16):5707, 1-23. MDPI
CA Seifert CA extern Processes in organisations, such as hospitals, may deviate from the intended standard processes, due to unforeseeable events and the complexity of the organisation. For hospitals, the knowledge of actual patient streams for patie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50e45503dddeffffaecec7083d7f1dde