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David Góez
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2020 – today
- 2024
- [j3]David Góez, Esra Aycan Beyazit, Luis Alejandro Fletscher, Juan Felipe Botero, Natalia Gaviria, Steven Latré, Miguel Camelo:
Resource-Efficient Spectrum-Based Traffic Classification on Constrained Devices. IEEE Open J. Commun. Soc. 5: 3066-3088 (2024) - 2022
- [j2]David Góez, Paola Soto, Steven Latré, Natalia Gaviria, Miguel Camelo:
A Methodology to Design Quantized Deep Neural Networks for Automatic Modulation Recognition. Algorithms 15(12): 441 (2022) - 2021
- [j1]Paola Soto, Miguel Camelo, Kevin Mets, Francesc Wilhelmi, David Góez, Luis Alejandro Fletscher, Natalia Gaviria, Peter Hellinckx, Juan Felipe Botero, Steven Latré:
ATARI: A Graph Convolutional Neural Network Approach for Performance Prediction in Next-Generation WLANs. Sensors 21(13): 4321 (2021) - [i1]Francesc Wilhelmi, David Góez, Paola Soto, Ramon Vallés, Mohammad Alfaifi, Abdulrahman Algunayah, Jorge Martín-Pérez, Luigi Girletti, Rajasekar Mohan, K. Venkat Ramnan, Boris Bellalta:
Machine Learning for Performance Prediction of Channel Bonding in Next-Generation IEEE 802.11 WLANs. CoRR abs/2105.14219 (2021)
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last updated on 2024-07-05 21:05 CEST by the dblp team
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