Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Godwin Badu-Marfo"'
Autor:
Marius Hobart, Michael Schirrmann, Abdul-Halim Abubakari, Godwin Badu-Marfo, Simone Kraatz, Mohammad Zare
Publikováno v:
Remote Sensing, Vol 16, Iss 11, p 1942 (2024)
The study focused on the prediction of the Temperature Vegetation Dryness Index (TVDI), an agricultural drought index, for a Mango orchard in Tamale, Ghana. It investigated the temporal relationship between the meteorological drought index, Standardi
Externí odkaz:
https://doaj.org/article/52f26ab41c71404eaf3a0aa9ec109036
Publikováno v:
IEEE Access, Vol 11, Pp 125064-125079 (2023)
Federated Learning (FL) is a paradigm in Machine Learning (ML) that addresses data privacy, security, access rights and access to heterogeneous information issues by training a global model using distributed nodes. Despite its advantages, there is an
Externí odkaz:
https://doaj.org/article/63b70b60f4dd410faef0fc77dee73ddd
Publikováno v:
IEEE Access, Vol 9, Pp 161046-161054 (2021)
In Federated Learning (FL), a group of workers participate to build a global model under the coordination of one node, the chief. Regarding the cybersecurity of FL, some attacks aim at injecting the fabricated local model updates into the system. Som
Externí odkaz:
https://doaj.org/article/a00967a179284b0b9f67e62afa91035e
As the most significant data source in smart mobility systems, GPS trajectories can help identify user travel mode. However, these GPS datasets may contain users' private information (e.g., home location), preventing many users from sharing their pri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12b7531ae7e674523e5198ba763279de
Publikováno v:
IEEE Access, Vol 9, Pp 161046-161054 (2021)
In Federated Learning (FL), a group of workers participate to build a global model under the coordination of one node, the chief. Regarding the cybersecurity of FL, some attacks aim at injecting the fabricated local model updates into the system. Som
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0bcdc093f98fda9e85dc83c4a59d666
http://arxiv.org/abs/2109.05385
http://arxiv.org/abs/2109.05385
Publikováno v:
Journal of Big Data Analytics in Transportation. 1:1-23
In recent years, and especially since the development of the smartphone, enormous amounts of data relevant for transportation have become available. These data hold out the potential to redefine how transportation system (i.e. design, planning and op
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd399e8a9b9d1d2249507e8df0f7d5d6
https://doi.org/10.1007/s42421-019-00001-z
https://doi.org/10.1007/s42421-019-00001-z
Publikováno v:
Web of Science
Federated Learning (FL) is a paradigm in Machine Learning (ML) that addresses data privacy, security, access rights and access to heterogeneous information issues by training a global model using distributed nodes. Despite its advantages, there is an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3535937e0b5be5c864a387b6227c722b
http://arxiv.org/abs/2101.10904
http://arxiv.org/abs/2101.10904
Autor:
Nana Yaw Asabere, Gare Lawson, Godwin Badu-Marfo, Lydia Kwofie, Daniel Opoku Mensah, Reginald Lartey
Publikováno v:
Journal of Healthcare Engineering, Vol 2021 (2021)
Journal of Healthcare Engineering
Journal of Healthcare Engineering
A health system is described as a logically organized collection of resources, agents, and institutions that offer healthcare to a specific population based on the finance, regulation, and delivery of health services. Many health centres have been es
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb932979b1b7172379f183d1b325a1c3
https://doaj.org/article/3c5187c074854960a560900c3d267fcb
https://doaj.org/article/3c5187c074854960a560900c3d267fcb
Agent-based transportation modelling has become the standard to simulate travel behaviour, mobility choices and activity preferences using disaggregate travel demand data for entire populations, data that are not typically readily available. Various
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73f712b73aede1fa483ae1db9cf01dd3
Smartphone based travel data collection has become an important tool for the analysis of transportation systems. Interest in sharing travel survey data has gained popularity in recent years as "Open Data Initiatives" by governments seek to allow the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2ea7d09004878620e601445f3583e69