Browsing by imec author "50546ee7ec91c7662ac03b30fefbaf3ec9ebfca9"
Now showing items 1-20 of 138
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A demonstration of seamless inter-technology mobility in heterogeneous networks
Bosch, Patrick; De Schepper, Tom; Zeljkovic, Ensar; Mahfoudhi, Farouk; De Bock, Yorick; Latre, Steven; Famaey, Jeroen (2018) -
A distributed density optimized scheduling function for IEEE 802.15 4E TSCH networks
Municio, Esteban; Spaey, Kathleen; Latre, Steven (2018) -
A Dynamic Spectrum Footprint Adaptation Framework for Collaborative Spectrum Sharing
Mennes, Ruben; Struye, Jakob; Donato Morales, Carlos; Latre, Steven (2020) -
A General Approach for Traffic Classification in Wireless Networks Using Deep Learning
Camelo Botero, Miguel; Soto Arenas, Paola; Latre, Steven (2022) -
A Generalized Approach For Practical Task Allocation Using A MAPE-K Control Loop
Eyckerman, Reinout; Reiter, Phillipe; Mercelis, Siegfried; Latre, Steven; Marquez-Barja, Johann; Hellinckx, Peter (2021) -
A large-scale demonstration of SDN-based handover management in IEEE 802.11 networks
Zeljkovic, Ensar; Marquez-Barja, Johann; Latre, Steven (2018) -
A Learn-to-Rank Approach for Predicting Road Cycling Race Outcomes
Kholkine, Leonid; Servotte, Thomas; De Leeuw, Arie-Willem; De Schepper, Tom; Hellinckx, Peter; Verdonck, Tim; Latre, Steven (2021) -
A machine learning approach for IEEE 802.11 channel allocation
Jeunen, Olivier; Bosch, Patrick; Van Herwegen, Michiel; Van Doorselaer, Karel; Godman, Nick; Latre, Steven (2018) -
A machine learning approach for in-race cycling performance prediction
Kholkine, Leonid; De Schepper, Tom; Verdonck, Tim; Latre, Steven (2020) -
A machine learning approach for road cycling race performance prediction
Kholkine, Leonid; De Schepper, Tom; Verdonk, Tim; Latre, Steven (2020) -
A Methodology to Design Quantized Deep Neural Networks for Automatic Modulation Recognition
Goez, David; Soto Arenas, Paola; Latre, Steven; Gaviria, Natalia; Camelo Botero, Miguel (2022) -
A neural-network-based MF-TDMA MAC scheduler for collaborative wireless networks
Mennes, Ruben; Camelo Botero, Miguel; Claeys, Maxim; Latre, Steven (2018) -
A semi-supervised learning approach towards automatic wireless technology recognition
Camelo Botero, Miguel; Shahid, Adnan; Fontaine, Jaron; Pereira de Figueiredo, Felipe Augusto; De Poorter, Eli; Moerman, Ingrid; Latre, Steven (2019) -
A survey on the programmability of wireless MAC protocols
Heleno Isolani, Pedro; Claeys, Maxim; Donato Morales, Carlos; Zambenedetti Granville, Lisandro; Latre, Steven (2019) -
A transparent load balancing algorithm for heterogeneous local area network
De Schepper, Tom; Latre, Steven; Famaey, Jeroen (2017) -
ABRAHAM : Machine learning backed proactive handover algorithm using SDN
Zeljkovic, Ensar; Slamnik, Nina; Latre, Steven; Marquez-Barja, Johann (2019) -
Accurate energy performance modelling of IEEE802.15.4e TSCH using the dual-radio OpenMote+
Daneels, Glenn; Municio, Esteban; Van de Velde, Bruno; Ergeerts, Glenn; Weyn, Maarten; Latre, Steven; Famaey, Jeroen (2018) -
Accurate sensor traffic estimation for station grouping in highly dense IEEE 802.11ah networks
Tian, Le; Santi, Serena; Latre, Steven; Famaey, Jeroen (2017) -
Age of peak performance in professional road cycling
Kholkine, Leonid; Latre, Steven; Verdonck, Tim; de Leeuw, Arie-Willem (2023) -
AI-Empowered Management and Orchestration of Vehicular Systems in the Beyond 5G Era
Slamnik-Krijestorac, Nina; Camelo Botero, Miguel; Chang, Chia-Yu; Soto Arenas, Paola; Cominardi, Luca; De Vleeschauwer, Danny; Latre, Steven; Marquez-Barja, Johann (2023)