Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Priscilla Benedetti"'
Publikováno v:
Applied Sciences, Vol 13, Iss 1, p 329 (2022)
Convolutional neural networks (CNNs) are becoming increasingly popular in medical Image Segmentation. Among them, U-Net is a widely used model that can lead to cutting-edge results for 2D biomedical Image Segmentation. However, U-Net performance can
Externí odkaz:
https://doaj.org/article/f1e999c7705b44e092929b0dab0d06c4
Publikováno v:
Sensors, Vol 21, Iss 3, p 928 (2021)
Serverless computing, especially implemented through Function-as-a-Service (FaaS) platforms, has recently been gaining popularity as an application deployment model in which functions are automatically instantiated when called and scaled when needed.
Externí odkaz:
https://doaj.org/article/e0f0a5462ce64b81b7607d1e941d592b
Publikováno v:
Applied Sciences; Volume 13; Issue 1; Pages: 329
Convolutional neural networks (CNNs) are becoming increasingly popular in medical Image Segmentation. Among them, U-Net is a widely used model that can lead to cutting-edge results for 2D biomedical Image Segmentation. However, U-Net performance can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::245232f3b5c76333fb2c4d025de0580e
https://hdl.handle.net/11391/1538359
https://hdl.handle.net/11391/1538359
Autor:
Steffen Thielemans, Ruben De Smet, Priscilla Benedetti, Gianluca Reali, An Braeken, Kris Steenhaut
Publikováno v:
IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society.
When looking at cloud computing, aside from the commercial solutions like Amazon Web Services and Microsoft Azure, there are also promising open source alternatives. In this paper, our hands-on experiences are summarized with consuming, deploying and
Autor:
Luca Gattobigio, Steffen Thielemans, Priscilla Benedetti, Gianluca Reali, An Braeken, Kris Steenhaut
Publikováno v:
IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society.
The joined use of cloud computing and Internet of Things (IoT) led to the definition of Cloud of Things (CoT), a powerful combination which builds on the strengths of both technologies. Active research in this field provides brand new solutions or im
Reinforcement Learning Applicability for Resource-Based Auto-scaling in Serverless Edge Applications
Serverless computing is an alternative deployment paradigm for cloud computing platforms, aimed to provide scalability and cost reduction without requiring any additional deployment overhead from developers. Generally, open-source serverless computin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ed610f754aa334224717a588816a3ff
http://hdl.handle.net/11391/1502224
http://hdl.handle.net/11391/1502224
Autor:
Mauro Fcmminclla, Jaime Garcia-Reinoso, Pablo Serrano, Matteo Pergolesi, Ramon Perez, Gianluca Reali, Aitor Zabala, Albert Banchs, Priscilla Benedetti
Publikováno v:
IMDEA Networks Institute Digital Repository
instname
2021 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit)
EuCNC/6G Summit
instname
2021 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit)
EuCNC/6G Summit
The constant search for solutions to improve performance and resource efficiency in Cloud platforms has led to the introduction of new virtualization technologies and deployment paradigms. From container-based virtualization to micro virtual machines
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7079d7583c41e8d125cdb4147c24fad8
http://hdl.handle.net/20.500.12761/1504
http://hdl.handle.net/20.500.12761/1504
Autor:
Albert Banchs, Kris Steenhaut, Gianluca Reali, Mauro Femminella, Pablo Serrano, Aitor Zabala, Jaime Garcia-Reinoso, Priscilla Benedetti, Ramon Perez, Matteo Pergolesi
Publikováno v:
IMDEA Networks Institute Digital Repository
instname
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
Fifth generation (5G) and beyond systems require flexible and efficient monitoring platforms to guarantee optimal key performance indicators (KPIs) in various scenarios. Their applicability in Edge computing environments requires lightweight monitori