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Global sensitivity analysis (GSA) aims at quantifying the contribution of input variables over the variability of model outputs. In the frame of functional outputs, a common goal is to compute sensitivity maps (SM), i.e sensitivity indices at each ou
Externí odkaz:
http://arxiv.org/abs/2412.08224
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
Autor:
Dutta, Siddhant, de Freitas, Iago Leal, Xavier, Pedro Maciel, de Farias, Claudio Miceli, Neira, David Esteban Bernal
Federated Learning (FL) is a decentralized machine learning approach that has gained attention for its potential to enable collaborative model training across clients while protecting data privacy, making it an attractive solution for the chemical in
Externí odkaz:
http://arxiv.org/abs/2411.16737
In face of climate change and increasing urbanization, the predictive mosquito-borne diseases (MBD) transmission models require constant updates. Thus, is urgent to comprehend the driving forces of this non stationary behavior, observed through spati
Externí odkaz:
http://arxiv.org/abs/2411.13680
Autor:
Barbosa, Larissa, Freire, Sávio, Maciel, Rita S. P., Mendonça, Manoel, Kalinowski, Marcos, Codabux, Zadia, Spínola, Rodrigo
Publikováno v:
Journal of Systems and Software, Volume 219, January 2025, 112200
[Context and Motivation] Several studies have investigated attributes of great software practitioners. However, the investigation of such attributes is still missing in Requirements Engineering (RE). The current knowledge on attributes of great softw
Externí odkaz:
http://arxiv.org/abs/2411.00966
Autor:
Paiva, Raul Victor de O., Carvalho, Fco. Italo G., Lima, Fco. Rafael M., Monteiro, Victor F., Sousa, Diego A., Moreira, Darlan C., Maciel, Tarcisio F., Makki, Behrooz
Integrated access and backhaul (IAB) technology is a flexible solution for network densification. IAB nodes can also be deployed in moving nodes such as buses and trains, i.e., mobile IAB (mIAB). As mIAB nodes can move around the coverage area, the c
Externí odkaz:
http://arxiv.org/abs/2410.02434
Autor:
da Silva, Gabriel C. M., Monteiro, Victor F., Sousa, Diego A., Moreira, Darlan C., Maciel, Tarcisio F., Lima, Fco. Rafael M., Makki, Behrooz
As the number of user equipments increases in fifth generation (5G) and beyond, it is desired to densify the cellular network with auxiliary nodes assisting the base stations. Examples of these nodes are integrated access and backhaul (IAB) nodes, ne
Externí odkaz:
http://arxiv.org/abs/2410.02415
Autor:
Dutta, Siddhant, Karanth, Pavana P, Xavier, Pedro Maciel, de Freitas, Iago Leal, Innan, Nouhaila, Yahia, Sadok Ben, Shafique, Muhammad, Neira, David E. Bernal
The widespread deployment of products powered by machine learning models is raising concerns around data privacy and information security worldwide. To address this issue, Federated Learning was first proposed as a privacy-preserving alternative to c
Externí odkaz:
http://arxiv.org/abs/2409.11430
Autor:
Milani, Alessandra Maciel Paz, Starr, Arty, Hill, Samantha, Curtis, Callum, Anderson, Norman, Moreno-Lumbreras, David, Storey, Margaret-Anne
With security threats increasing in frequency and severity, it is critical that we consider the important role of threat hunters. These highly-trained security professionals learn to see, identify, and intercept security threats. Many recent works an
Externí odkaz:
http://arxiv.org/abs/2408.04348
We investigate the gravitational effects on the relativistic Dirac theory of a system such as a Hydrogen atom in the braneworld scenario. A gravitational dipole moment like contribution, arises in the nonrelativistic Hamiltonian of the system through
Externí odkaz:
http://arxiv.org/abs/2408.02647