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Queiros, Ruben
14  Ergebnisse:
Personensuche X
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1

On the Analysis of Computational Delays in Reinforcement Le..:

, In: Simulation Tools and Techniques; Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,
Trancoso, Ricardo ; Pinto, João ; Queiros, Ruben.. - p. 299-310 , 2024
Link: https://doi.org/10.1007/..
 
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2

RateRL: A Framework for Developing RL-Based Rate Adaptation..:

, In: Simulation Tools and Techniques; Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,
Queiros, Ruben ; Ferreira, Luís ; Fontes, Helder. - p. 287-298 , 2024
Link: https://doi.org/10.1007/..
 
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3

Trajectory-Aware Rate Adaptation for Flying Networks:

, In: Simulation Tools and Techniques; Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,
Queiros, Ruben ; Ruela, Jose ; Fontes, Helder. - p. 257-271 , 2024
Link: https://doi.org/10.1007/..
 
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4

Rate Adaptation Aware Positioning for Flying Gateways Using..:

, In: Simulation Tools and Techniques; Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,
Pantaleão, Gabriella ; Queirós, Rúben ; Fontes, Hélder. - p. 272-286 , 2024
Link: https://doi.org/10.1007/..
 
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5

Wi-Fi Rate Adaptation using a Simple Deep Reinforcement Lea..:

, In: 2022 IEEE Symposium on Computers and Communications (ISCC),
Queiros, Ruben ; Almeida, Eduardo Nuno ; Fontes, Helder.. - p. 1-3 , 2022
Link: https://doi.org/10.1109/..
 
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6

Trajectory-Aware Rate Adaptation for Flying Networks:

Queiros, Ruben ; Ruela, Jose ; Fontes, Helder.
http://arxiv.org/abs/2307.06905.  , 2023
Link: http://arxiv.org/abs/230..
 
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7

Trajectory-Aware Rate Adaptation for Aerial Networks Simula..:

Queiros, Ruben ; Ruela, Jose ; Fontes, Helder.
info:eu-repo/grantAgreement/FCT/POR_NORTE/2022.10093.BD/.  , 2023
Link: https://zenodo.org/recor..
 
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8

On the Analysis of Computational Delays in Reinforcement Le..:

Trancoso, Ricardo ; Queiros, Ruben ; Fontes, Helder.
http://arxiv.org/abs/2303.17477.  , 2023
Link: http://arxiv.org/abs/230..
 
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9

RateRL: A Framework for Developing RL-Based Rate Adaptation..:

Queiros, Ruben ; Ferreira, Luis ; Fontes, Helder.
http://arxiv.org/abs/2310.05772.  , 2023
Link: http://arxiv.org/abs/231..
 
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10

Rate Adaptation Aware Positioning for Flying Gateways using..:

Pantaleão, Gabriella ; Queirós, Rúben ; Fontes, Hélder.
http://arxiv.org/abs/2310.07031.  , 2023
Link: http://arxiv.org/abs/231..
 
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11

SMART - Self-adaptive Machine Learning Approach for Real-ti..:

Queiros, Ruben ; Almeida, Eduardo Nuno ; Fontes, Helder..
info:eu-repo/grantAgreement/EC/H2020/732638/.  , 2022
Link: https://zenodo.org/recor..
 
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12

Wi-Fi Rate Adaptation using a Simple Deep Reinforcement Lea..:

Queiros, Ruben ; Almeida, Eduardo Nuno ; Fontes, Helder..
http://arxiv.org/abs/2202.03997.  , 2022
Link: http://arxiv.org/abs/220..
 
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13

Transição para o ensino superior: repensar o papel da autar..:

Ruben Filipe Gonçalves Queiros
https://hdl.handle.net/10216/146711.  , 2022
Link: https://hdl.handle.net/1..
 
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14

Multi-Technology Flying Access Network for Disaster Managem..:

Rúben Miguel Rei Queirós
https://hdl.handle.net/10216/132701.  , 2020
Link: https://hdl.handle.net/1..
 
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