Zobrazeno 1 - 10
of 1 593
pro vyhledávání: '"Preserving Data"'
Autor:
Benedetta Gottardelli, Roberto Gatta, Leonardo Nucciarelli, Andrada Mihaela Tudor, Erica Tavazzi, Mauro Vallati, Stefania Orini, Nicoletta Di Giorgi, Andrea Damiani
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background Artificial intelligence (AI) has become a pivotal tool in advancing contemporary personalised medicine, with the goal of tailoring treatments to individual patient conditions. This has heightened the demand for access to diverse d
Externí odkaz:
https://doaj.org/article/035e319bf17347ed9f0449ed221bd2de
Publikováno v:
Cogent Engineering, Vol 11, Iss 1 (2024)
In today’s digital age, individuals using online social platforms have created complex social connections, transforming the landscape of virtual relationships. In traditional graph-based models, various issues, such as community clustering, privacy
Externí odkaz:
https://doaj.org/article/9bdf9b6d7458494bab0c4e1af1de89a3
Autor:
Yi-Jun Tang, Po-Wen Chi
Publikováno v:
IEEE Access, Vol 12, Pp 141130-141143 (2024)
With the vigorously developed services of cloud computing, it is relatively easier and more convenient for organizations or enterprises to open data on clouds. However, as personal information in electronic data becomes more massive and detailed, how
Externí odkaz:
https://doaj.org/article/357afa646a7648a48b40f2051780079d
Publikováno v:
IEEE Access, Vol 12, Pp 79861-79874 (2024)
Data-driven decision-making has become critical to every organization. There is a growing emphasis on adopting robust data governance frameworks for data management. This encompasses data publishing to empower stakeholders with the ability to access
Externí odkaz:
https://doaj.org/article/3f5ae39078b94da18f0e3a39f5b1f70a
Autor:
Imanol Isasa, Mikel Hernandez, Gorka Epelde, Francisco Londoño, Andoni Beristain, Xabat Larrea, Ane Alberdi, Panagiotis Bamidis, Evdokimos Konstantinidis
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract Background Synthetic data is an emerging approach for addressing legal and regulatory concerns in biomedical research that deals with personal and clinical data, whether as a single tool or through its combination with other privacy enhancin
Externí odkaz:
https://doaj.org/article/fa415233cda846b5bf8b77eeeaf389b0
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 6502-6518 (2023)
Sustainability and energy savings are two intertwined research aims for humanity’s long-term survival, aligned with the Paris Agreement and the Egyptian vision of 2030. The purpose of this research is to minimize the cost needed to measure the HVAC
Externí odkaz:
https://doaj.org/article/6b6a9a7d67934b46b53ca956124c8abf
Autor:
Garrett, Jeffrey1
Publikováno v:
College & Research Libraries. May2023, Vol. 84 Issue 3, p464-466. 3p.
Autor:
Jianhong Zhang, Chenghe Dong
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 4, Pp 100-111 (2023)
Because privacy-preserving data aggregation protocols provide data privacy and data compression, they have been extensively studied in smart grids. However, most of the existing data aggregation protocols are based on honest-but-curious aggregators,
Externí odkaz:
https://doaj.org/article/845387d0a8a1451ea2a8caa3361d7836
Publikováno v:
IEEE Access, Vol 11, Pp 21374-21386 (2023)
Location data is valuable for various applications such as epidemiology, natural disasters, and urban planning but causes exposure of sensitive information, e.g., home or work place, from collected data in a datastore. Local Differential Privacy (LDP
Externí odkaz:
https://doaj.org/article/415c15ac7df44872a89e0b81a7116f55
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