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pro vyhledávání: '"LOUREIRO, ANTONIO A. F."'
Autor:
de Souza, Allan M., Maciel, Filipe, da Costa, Joahannes B. D., Bittencourt, Luiz F., Cerqueira, Eduardo, Loureiro, Antonio A. F., Villas, Leandro A.
Federated Learning (FL) is a distributed approach to collaboratively training machine learning models. FL requires a high level of communication between the devices and a central server, thus imposing several challenges, including communication bottl
Externí odkaz:
http://arxiv.org/abs/2411.17833
The automatic extraction of urban perception shared by people on location-based social networks (LBSNs) is an important multidisciplinary research goal. One of the reasons is because it facilitates the understanding of the intrinsic characteristics o
Externí odkaz:
http://arxiv.org/abs/2010.06444
Tourism favors more economic activities, employment, revenues and plays a significant role in development; thus, the improvement of this activity is a strategic task. In this work, we show how social sensing can be used to understand the key characte
Externí odkaz:
http://arxiv.org/abs/2005.09033
Akademický článek
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Akademický článek
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Autor:
Rodrigues, Diego O., Santos, Frances A., Filho, Geraldo P. Rocha, Akabane, Ademar T., Cabral, Raquel, Immich, Roger, Junior, Wellington L., Cunha, Felipe D., Guidoni, Daniel L., Silva, Thiago H., Rosário, Denis, Cerqueira, Eduardo, Loureiro, Antonio A. F., Villas, Leandro A.
Publikováno v:
Simposio Brasileiro de Redes de Computadores e Sistemas Distribuidos (SBRC), 2019
The growing of cities has resulted in innumerable technical and managerial challenges for public administrators such as energy consumption, pollution, urban mobility and even supervision of private and public spaces in an appropriate way. Urban Compu
Externí odkaz:
http://arxiv.org/abs/1912.05662
We quickly approach a "pervasive future" where pervasive computing is the norm. In this scenario, humans are surrounded by a multitude of heterogeneous devices that assist them in almost every aspect of their daily routines. The realization of this f
Externí odkaz:
http://arxiv.org/abs/1907.05214
Akademický článek
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Autor:
Nunes, Ivan O., Celes, Clayson, Silva, Michael D., de Melo, Pedro O. S. Vaz, Loureiro, Antonio A. F.
In this work we propose, implement, and evaluate GRM, a novel mobility model that accounts for the role of group meeting dynamics and regularity in human mobility. Specifically, we show that existing mobility models for humans do not capture the regu
Externí odkaz:
http://arxiv.org/abs/1706.07908
Gender differences is a phenomenon around the world actively researched by social scientists. Traditionally, the data used to support such studies is manually obtained, often through surveys with volunteers. However, due to their inherent high costs
Externí odkaz:
http://arxiv.org/abs/1703.06288