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pro vyhledávání: '"Batista, Daniel Macêdo"'
Autor:
Bazaluk, Bruna, Hamdan, Mosab, Ghaleb, Mustafa, Gismalla, Mohammed S. M., da Silva, Flavio S. Correa, Batista, Daniel Macêdo
The classification of IoT traffic is important to improve the efficiency and security of IoT-based networks. As the state-of-the-art classification methods are based on Deep Learning, most of the current results require a large amount of data to be t
Externí odkaz:
http://arxiv.org/abs/2407.19051
Privacy-Enhancing Technologies in Federated Learning for the Internet of Healthcare Things: A Survey
Autor:
Mosaiyebzadeh, Fatemeh, Pouriyeh, Seyedamin, Parizi, Reza M., Sheng, Quan Z., Han, Meng, Zhao, Liang, Sannino, Giovanna, Batista, Daniel Macêdo
Advancements in wearable medical devices in IoT technology are shaping the modern healthcare system. With the emergence of the Internet of Healthcare Things (IoHT), we are witnessing how efficient healthcare services are provided to patients and how
Externí odkaz:
http://arxiv.org/abs/2303.14544
Autor:
Batista, Daniel Macêdo
Publikováno v:
Repositório Institucional da UnicampUniversidade Estadual de CampinasUNICAMP.
Orientador: Nelson Luis Saldanha da Fonseca
Tese (doutorado ) - Universidade Estadual de Campinas, Instituto de Computação
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Tese (doutorado ) - Universidade Estadual de Campinas, Instituto de Computação
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Externí odkaz:
http://repositorio.unicamp.br/jspui/handle/REPOSIP/275848
Goal-models (GM) have been used in adaptive systems engineering for their ability to capture the different ways to fulfill the requirements. Contextual GM (CGM) extend these models with the notion of context and context-dependent applicability of goa
Externí odkaz:
http://arxiv.org/abs/1503.07132
Autor:
Batista, Daniel Macêdo
Publikováno v:
Repositório Institucional da UnicampUniversidade Estadual de CampinasUNICAMP.
Orientadores: Nelson Luis Saldanha da Fonseca, Fabrizio Granelli
Dissertação (mestrado ) - Universidade Estadual de Campinas, Instituto de Computação
Made available in DSpace on 2018-08-08T18:06:54Z (GMT). No. of bitstreams: 1 Batista_D
Dissertação (mestrado ) - Universidade Estadual de Campinas, Instituto de Computação
Made available in DSpace on 2018-08-08T18:06:54Z (GMT). No. of bitstreams: 1 Batista_D
Externí odkaz:
http://repositorio.unicamp.br/jspui/handle/REPOSIP/276243
Autor:
Tinini, Rodrigo Izidoro, Santos, Matias Romário Pinheiro dos, Figueiredo, Gustavo Bittencourt, Batista, Daniel Macêdo
Publikováno v:
In Simulation Modelling Practice and Theory May 2020 101
Akademický článek
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Publikováno v:
In Data & Knowledge Engineering May 2017 109:25-40
Autor:
Batista, Daniel Macêdo
Publikováno v:
Biblioteca Digital de Teses e Dissertações da Universidade Estadual de Campinas (UNICAMP)
Universidade Estadual de Campinas (UNICAMP)
instacron:UNICAMP
Universidade Estadual de Campinas (UNICAMP)
instacron:UNICAMP
Orientador: Nelson Luis Saldanha da Fonseca Tese (doutorado ) - Universidade Estadual de Campinas, Instituto de Computação Resumo: Para que escalonadores em grades derivem escalonamentos, é necessário que se forneçam as demandas das aplicações
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b4a98e051b9a252dee5a366de8ca343
https://doi.org/10.47749/t/unicamp.2010.478202
https://doi.org/10.47749/t/unicamp.2010.478202
Akademický článek
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