Zobrazeno 1 - 10
of 103
pro vyhledávání: '"Robert Birke"'
Publikováno v:
Frontiers in Big Data, Vol 6 (2024)
The usage of synthetic data is gaining momentum in part due to the unavailability of original data due to privacy and legal considerations and in part due to its utility as an augmentation to the authentic data. Generative adversarial networks (GANs)
Externí odkaz:
https://doaj.org/article/cadc0d9f91144ec8a38ce8c0ecd320f9
Autor:
Nur Zincir-Heywood, Robert Birke, Elias Bou-Harb, Giuliano Casale, Khalil El-Khatib, Takeru Inoue, Neeraj Kumar, Hanan Lutfiyya, Deepak Puthal, Abdallah Shami, Natalia Stakhanova, Farhana Zulkernine
Publikováno v:
IEEE Transactions on Network and Service Management. 19:3988-3994
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c526c5279b3edaeb96c1e5237870c571
https://doi.org/10.1109/tnsm.2022.3227775
https://doi.org/10.1109/tnsm.2022.3227775
Publikováno v:
Proceedings of the 2023 SIAM International Conference on Data Mining (SDM) ISBN: 9781611977653
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d44b44e58775858508030471dcaba54a
https://doi.org/10.1137/1.9781611977653.ch64
https://doi.org/10.1137/1.9781611977653.ch64
Autor:
Nur Zincir-Heywood, Takeru Inoue, Robert Birke, Giuliano Casale, Deepak Puthal, Neeraj Kumar, Jinho Hwang, Amogh Dhamdhere, Hanan Lutfiyya
Publikováno v:
IEEE Transactions on Network and Service Management. 18:3936-3941
Artificial Intelligence (AI) has the potential to leverage the immense amount of operational data of clouds, services, and social and communication networks. As a concrete example, AI techniques have been adopted by telcom operators to develop virtua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0263a0b6a5ef360dd17014d4a1fef0aa
https://doi.org/10.1109/tnsm.2021.3127543
https://doi.org/10.1109/tnsm.2021.3127543
Publikováno v:
Pervasive and Mobile Computing, 83
Deep neural networks (DNNs) are becoming the core components of many applications running on edge devices, especially for real time image-based analysis. Increasingly, multi-faced knowledge is extracted by executing multiple DNNs inference models, e.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0cff2670fbf6faf73d6051a3228ad7a1
http://resolver.tudelft.nl/uuid:49b61676-0474-42d3-921b-06e7b7440466
http://resolver.tudelft.nl/uuid:49b61676-0474-42d3-921b-06e7b7440466
Autor:
Giuliano Albanese, Sandro Schönborn, Robert Birke, Georgia Giannopoulou, Thanikesavan Sivanthi
Publikováno v:
2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eaaf11eecbaa41681f29b22921a88b6e
https://doi.org/10.1109/etfa45728.2021.9613320
https://doi.org/10.1109/etfa45728.2021.9613320
Publikováno v:
PerCom
Deep neural networks (DNNs) are becoming the core components of many applications running on edge devices, especially for real time image-based analysis. Increasingly, multi-faced knowledge is extracted via executing multiple DNNs inference models, e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21edea5d8231bbf253a3436e3b0a6fc2
https://hdl.handle.net/2318/1891100
https://hdl.handle.net/2318/1891100
Offering consistent low latency remains a key challenge for distributed applications, especially when deployed on the cloud where virtual machines (VMs) suffer from capacity variability caused by co-located tenants. Replicating redundant requests was
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc9415a96eabddecbd256188f8f7d137
https://hdl.handle.net/2318/1888570
https://hdl.handle.net/2318/1888570