Zobrazeno 1 - 10
of 822
pro vyhledávání: '"Ribeiro, Lucas"'
Autor:
Sode, Maik, Ponschab, Michael, Ribeiro, Lucas N., Haesloop, Sven, Tohidi, Ehsan, Peter, Michael, Stańczak, Sławomir, Mohamed, Bilal H., Keusgen, Wilhelm, Mellein, Heinz, Yassin, Eslam, Schroeder, Bernd
The reconfigurable intelligent surface (RIS) technology is a potential solution to enhance network capacity and coverage without significant investment into additional infrastructure in 6G networks. This work highlights the interest of the mobile com
Externí odkaz:
http://arxiv.org/abs/2406.19868
Autor:
Ribeiro, Lucas Grativol, Leonardon, Mathieu, Muller, Guillaume, Fresse, Virginie, Arzel, Matthieu
Publikováno v:
32nd European Signal Processing Conference EUSIPCO, Aug 2024, Lyon, France
Low-Rank Adaptation (LoRA) methods have gained popularity in efficient parameter fine-tuning of models containing hundreds of billions of parameters. In this work, instead, we demonstrate the application of LoRA methods to train small-vision models i
Externí odkaz:
http://arxiv.org/abs/2406.14082
Autor:
Appavou, Maria, Ribeiro, Lucas, Nicaise, Paul, Hu, Jie, Martin, Jean-Marc, Firminy, Josiane, Chaumont, Christine, Bonifacio, Piercarlo, Boussaha, Faouzi
We report on simulations of a novel design of optical titanium nitride (TiN)- based Kinetic Inductance Detectors (KIDs) in order to improve their response to optical photons. We propose to separate the meander from the substrate to trap hot phonons g
Externí odkaz:
http://arxiv.org/abs/2405.02837
Autor:
Ribeiro, Lucas Grativol, Gauthier, Lubin, Leonardon, Mathieu, Morlier, Jérémy, Lavrard-Meyer, Antoine, Muller, Guillaume, Fresse, Virginie, Arzel, Matthieu
Publikováno v:
ISCAS 2024 : IEEE International Symposium on Circuits and Systems, May 2024, Singapore, Singapore
This paper tackles the challenges of implementing few-shot learning on embedded systems, specifically FPGA SoCs, a vital approach for adapting to diverse classification tasks, especially when the costs of data acquisition or labeling prove to be proh
Externí odkaz:
http://arxiv.org/abs/2404.19354
Autor:
Men, Yevgeniy, Fhima, Jonathan, Celi, Leo Anthony, Ribeiro, Lucas Zago, Nakayama, Luis Filipe, Behar, Joachim A.
Diabetic retinopathy (DR) is a prevalent complication of diabetes associated with a significant risk of vision loss. Timely identification is critical to curb vision impairment. Algorithms for DR staging from digital fundus images (DFIs) have been re
Externí odkaz:
http://arxiv.org/abs/2312.14891
Autor:
Ribeiro, Lucas Grativol, Leonardon, Mathieu, Muller, Guillaume, Fresse, Virginie, Arzel, Matthieu
Publikováno v:
IEEE 30th International Conference on Electronics, Circuits and Systems, Dec 2023, Istanbul, Turkey
Federated Learning (FL) is a promising distributed method for edge-level machine learning, particularly for privacysensitive applications such as those in military and medical domains, where client data cannot be shared or transferred to a cloud comp
Externí odkaz:
http://arxiv.org/abs/2310.14693
O objetivo desta dissertação é fornecer primeiramente o arcabouço necessário para o entendimento do derivativo opções, muito utilizado nos mercados financeiros mundiais, e posteriormente executar precificações de opções americanas a partir
Autor:
da Silva, Vanessa Telles, Ribeiro, Lucas de Angelo Martins, de Lemos, Willian Borges, Botelho, Sílvia Silva da Costa, Filho, Nelson Lopes Duarte, Pias, Marcelo Rita
The architecture, engineering and construction (AEC) sector extensively uses documents supporting product and process development. As part of this, organisations should handle big data of hundreds, or even thousands, of technical documents strongly l
Externí odkaz:
http://arxiv.org/abs/2302.08905
Autor:
Zago Ribeiro, Lucas1 (AUTHOR) lucaszagoribeiro@gmail.com, Nakayama, Luis Filipe1,2 (AUTHOR), Malerbi, Fernando Korn1 (AUTHOR), Regatieri, Caio Vinicius Saito1 (AUTHOR)
Publikováno v:
Scientific Reports. 5/13/2024, Vol. 14 Issue 1, p1-7. 7p.
Massive multiple-input multiple-output (mMIMO) technology is a way to increase the spectral efficiency of machine-type communications (MTC). To exploit the benefits from large antenna arrays, accurate channel estimation through pilot signals is neede
Externí odkaz:
http://arxiv.org/abs/2203.06651