Miguel Hernando Camelo Botero
Miguel Hernando Camelo Botero
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Zitiert von
Zitiert von
QoS routing algorithm based on multi-objective optimization for wireless mesh networks
M Camelo, C Omaña, H Castro
2010 IEEE Latin-American Conference on Communications, 1-6, 2010
Q2-Routing : A Qos-aware Q-Routing algorithm for Wireless Ad Hoc Networks
T Hendriks, M Camelo, S Latré
2018 14th International Conference on Wireless and Mobile Computing …, 2018
Efficient routing in data center with underlying cayley graph
M Camelo, D Papadimitriou, L Fàbrega, P Vilà
Complex Networks V: Proceedings of the 5th Workshop on Complex Networks …, 2014
A convolutional neural network approach for classification of lpwan technologies: Sigfox, lora and ieee 802.15. 4g
A Shahid, J Fontaine, M Camelo, J Haxhibeqiri, M Saelens, Z Khan, ...
2019 16th Annual IEEE International Conference on Sensing, Communication …, 2019
A neural-network-based MF-TDMA MAC scheduler for collaborative wireless networks
R Mennes, M Camelo, M Claeys, S Latre
2018 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2018
A semi-supervised learning approach towards automatic wireless technology recognition
M Camelo, A Shahid, J Fontaine, FAP De Figueiredo, E De Poorter, ...
2019 IEEE international symposium on dynamic Spectrum access networks …, 2019
Detection of traffic patterns in the radio spectrum for cognitive wireless network management
M Camelo, T De Schepper, P Soto, J Marquez-Barja, J Famaey, S Latré
IEEE International Conference on Communications (ICC), 2020
ATARI: A graph convolutional neural network approach for performance prediction in next-generation WLANs
P Soto, M Camelo, K Mets, F Wilhelmi, D Góez, LA Fletscher, N Gaviria, ...
Sensors 21 (13), 4321, 2021
Dynamic and collaborative spectrum sharing: The SCATTER approach
S Giannoulis, C Donato, R Mennes, FAP de Figueiredo, I Jabandžic, ...
2019 IEEE International Symposium on Dynamic Spectrum Access Networks …, 2019
A Multi-objective Routing Algorithm for Wireless Mesh Network in a Smart Cities Environment.
CA Lozano-Garzon, M Camelo, P Vilà, Y Donoso
J. Networks 10 (01), 60-69, 2015
Geometric Routing With Word-Metric Spaces
M Camelo, D Papadimitriou, L Fàbrega, P Vilà
IEEE Communications Letters 18 (12), 2125-2128, 2014
Requirements and Specifications for the Orchestration of Network Intelligence in 6G
M Camelo, L Cominardi, M Gramaglia, M Fiore, A Garcia-Saavedra, ...
2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC …, 2022
An ai-based incumbent protection system for collaborative intelligent radio networks
M Camelo, R Mennes, A Shahid, J Struye, C Donato, I Jabandzic, ...
IEEE Wireless Communications 27 (5), 16-23, 2020
Parallel Reinforcement Learning with Minimal Communication Overhead for IoT Environments
M Camelo, M Claeys, S Latré
IEEE Internet of Things Journal, 2019
A general approach for traffic classification in wireless networks using deep learning
M Camelo, P Soto, S Latré
IEEE Transactions on Network and Service Management 19 (4), 5044-5063, 2021
A Multi-Objective Performance Evaluation in Grid Task Scheduling using Evolutionary Algorithms
M Camelo, Y Donoso, H Castro
Applied Mathematics and Informatics, 100-105, 2010
A scalable parallel Q-learning algorithm for resource constrained decentralized computing environments
M Camelo, J Famaey, S Latré
2016 2nd Workshop on Machine Learning in HPC Environments (MLHPC), 27-35, 2016
Towards autonomous VNF auto-scaling using deep reinforcement learning
P Soto, D De Vleeschauwer, M Camelo, Y De Bock, K De Schepper, ...
2021 Eighth International Conference on Software Defined Systems (SDS), 01-08, 2021
Routing at large scale: Advances and challenges for complex networks
S Sahhaf, W Tavernier, D Papadimitriou, D Careglio, A Kumar, C Glacet, ...
IEEE network 31 (4), 108-118, 2017
MAGS—an approach using multi-objective evolutionary algorithms for grid task scheduling
M Camelo, Y Donoso, H Castro
International Journal of Applied Mathematics and Informatics 5 (2), 2011
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