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Erika Fonseca
Erika Fonseca
PhD Candidate, Trinity College Dublin
Verified email at tcd.ie
Title
Cited by
Cited by
Year
Towards low-complexity wireless technology classification across multiple environments
J Fontaine, E Fonseca, A Shahid, M Kist, LA DaSilva, I Moerman, ...
Ad Hoc Networks 91, 101881, 2019
242019
Reqiba: Regression and deep q-learning for intelligent uav cellular user to base station association
B Galkin, E Fonseca, R Amer, LA DaSilva, I Dusparic
IEEE Transactions on Vehicular Technology 71 (1), 5-20, 2021
192021
Introdução ao kit de desenvolvimento Arduino
RB RENNA, RDR Brasil, TEB Cunha, MM Beppu, EGP Fonseca
Niterói: Grupo PET-Tele, 2013
172013
Apostila Arduino
EGP Fonseca, MM Beppu
Universidade Federal Fluminense, Rio de Janeiro, 2010
172010
Intelligent base station association for UAV cellular users: A supervised learning approach
B Galkin, R Amer, E Fonseca, LA DaSilva
2020 IEEE 3rd 5G World Forum (5GWF), 383-388, 2020
152020
Gated recurrent unit neural networks for automatic modulation classification with resource-constrained end-devices
R Utrilla, E Fonseca, A Araujo, LA Dasilva
IEEE Access 8, 112783-112794, 2020
152020
Tutorial sobre introdução a projetos utilizando o kit de desenvolvimento Arduino
EGP da Fonseca, S Alexandre
152011
Radio access technology characterisation through object detection
E Fonseca, JF Santos, F Paisana, LA DaSilva
Computer Communications 168, 12-19, 2021
92021
Mobility for cellular-connected UAVs: Challenges for the network provider
E Fonseca, B Galkin, M Kelly, LA DaSilva, I Dusparic
2021 Joint European Conference on Networks and Communications & 6G Summit …, 2021
82021
Intelligent UAV base station selection in urban environments: A supervised learning approach
B Galkin, R Amer, E Fonseca, LA DaSilva
arXiv preprint arXiv:2003.01287, 2020
52020
Experimental evaluation of a UAV user QoS from a two-tier 3.6 GHz spectrum network
B Galkin, E Fonseca, G Lee, C Duff, M Kelly, E Emmanuel, I Dusparic
arXiv preprint arXiv:2011.03236, 2020
42020
Adaptive height optimisation for cellular-connected UAVs using reinforcement learning
E Fonseca, B Galkin, LA DaSilva, I Dusparic
arXiv preprint arXiv:2007.13695, 2020
42020
Apostila Arduino
MM Beppu, EGP FONSECA
Niterói/RJ: Programa de Educação Tutorial da Universidade Federal Fluminense, 2010
42010
BEPPU, Mathyan Motta
ÉGPF FONSECA
Apostila Arduino, Rio de Janeiro: Universidade Federal Fluminense, 2010
22010
TEORIA, PRÁTICA E INTERDISCIPLINARIDADE: INTEGRANDO CONHECIMENTOS.
EGP da Fonseca, JS Pereira
12011
Integrating Connected UAVs into Future Mobile Networks
EG Fonseca
Trinity College Dublin. School of Computer Science & Statistics. Discipline …, 2022
2022
Adaptive Height Optimisation for Cellular-Connected Uavs: A Deep Reinforcement Learning Approach
E Fonseca, B Galkin, R Amer, LA DaSilva, I Dusparic
Available at SSRN 4088412, 0
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