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Browsing by Author "Latre, Steven"

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    A demonstration of seamless inter-technology mobility in heterogeneous networks

    Bosch, Patrick  
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    De Schepper, Tom  
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    Zeljkovic, Ensar  
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    Mahfoudhi, Farouk
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    De Bock, Yorick  
    Proceedings paper
    2018, IEEE 19th International Symposium on "A World of Wireless, Mobile and Multimedia Networks" - WoWMoM Demo Session, 12/06/2018, p.14-16
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    A distributed density optimized scheduling function for IEEE 802.15 4E TSCH networks

    Municio, Esteban  
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    Spaey, Kathleen
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    Latre, Steven  
    Journal article
    2018, Transactions on Emerging Telecommunications Technologies, (29) 7, p.e3420
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    A Dynamic Spectrum Footprint Adaptation Framework for Collaborative Spectrum Sharing

    Mennes, Ruben  
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    Struye, Jakob  
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    Donato Morales, Carlos  
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    Latre, Steven  
    Proceedings paper
    2020, IEEE/IFIP Network Operations and Management Symposium (NOMS), APR 20-24, 2020
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    A General Approach for Traffic Classification in Wireless Networks Using Deep Learning

    Camelo Botero, Miguel  
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    Soto Arenas, Paola  
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    Latre, Steven  
    Journal article
    2022, IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, (19) 4, p.5044-5063
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    A Generalized Approach For Practical Task Allocation Using A MAPE-K Control Loop

    Eyckerman, Reinout  
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    Reiter, Phillipe
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    Mercelis, Siegfried  
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    Latre, Steven  
    Proceedings paper
    2021, 12th International Conference on ICT Convergence (ICTC) - Beyond the Pandemic Era with ICT Convergence Innovation, OCT 20-22, 2021, p.779-784
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    A large-scale demonstration of SDN-based handover management in IEEE 802.11 networks

    Zeljkovic, Ensar  
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    Marquez-Barja, Johann  
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    Latre, Steven  
    Proceedings paper
    2018, Proceedings of the ACM SIGCOMM 2018 Conference, 20/10/2018, p.102-104
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    A Learn-to-Rank Approach for Predicting Road Cycling Race Outcomes

    Kholkine, Leonid  
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    Servotte, Thomas
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    De Leeuw, Arie-Willem
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    De Schepper, Tom  
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    Hellinckx, Peter  
    Journal article
    2021, FRONTIERS IN SPORTS AND ACTIVE LIVING, 3, p.714107
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    A machine learning approach for IEEE 802.11 channel allocation

    Jeunen, Olivier
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    Bosch, Patrick  
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    Van Herwegen, Michiel
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    Van Doorselaer, Karel
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    Godman, Nick
    Proceedings paper
    2018, 14th International Conference on Network and Service Management - CNSM, 5/11/2018, p.28-36
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    A machine learning approach for in-race cycling performance prediction

    Kholkine, Leonid  
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    De Schepper, Tom  
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    Verdonck, Tim
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    Latre, Steven  
    Journal article
    2020, Journal of Science & Cycling, p.29-30
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    A machine learning approach for road cycling race performance prediction

    Kholkine, Leonid  
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    De Schepper, Tom  
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    Verdonk, Tim
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    Latre, Steven  
    Proceedings paper
    2020, 7th Workshop on Machine Learning and Data Mining for Sports Analytics, 18/09/2020, p.103-112
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    A Methodology to Design Quantized Deep Neural Networks for Automatic Modulation Recognition

    Goez, David  
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    Soto Arenas, Paola  
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    Latre, Steven  
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    Gaviria, Natalia
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    Camelo Botero, Miguel  
    Journal article
    2022, ALGORITHMS, (15) 12, p.441
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    A neural-network-based MF-TDMA MAC scheduler for collaborative wireless networks

    Mennes, Ruben  
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    Camelo Botero, Miguel  
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    Claeys, Maxim
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    Latre, Steven  
    Proceedings paper
    2018, IEEE Wireless Communications and Networking Conference- WCNC, 15/04/2018, p.1-6
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    A semi-supervised learning approach towards automatic wireless technology recognition

    Camelo Botero, Miguel  
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    Shahid, Adnan  
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    Fontaine, Jaron  
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    Pereira de Figueiredo, Felipe Augusto
    Proceedings paper
    2019, 2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN), 11/11/2019
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    A survey on the programmability of wireless MAC protocols

    Heleno Isolani, Pedro  
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    Claeys, Maxim
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    Donato Morales, Carlos  
    Journal article
    2019, IEEE Communications Surveys & Tutorials, (21) 2, p.1064-1092
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    A transparent load balancing algorithm for heterogeneous local area network

    De Schepper, Tom  
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    Latre, Steven  
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    Famaey, Jeroen  
    Proceedings paper
    2017, IFIP/IEEE International Symposium on Integrated Network Management - IM2017, 8/05/2017, p.160-168
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    ABRAHAM : Machine learning backed proactive handover algorithm using SDN

    Zeljkovic, Ensar  
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    Slamnik-Krijestorac, Nina  
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    Latre, Steven  
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    Marquez-Barja, Johann  
    Journal article
    2019, IEEE Transactions on Network and Service Management, (16) 4, p.1522-1536
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    Accurate energy performance modelling of IEEE802.15.4e TSCH using the dual-radio OpenMote+

    Daneels, Glenn  
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    Municio, Esteban  
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    Van de Velde, Bruno
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    Ergeerts, Glenn  
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    Weyn, Maarten  
    Journal article
    2018, Sensors, (18) 2, p.437
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    Accurate sensor traffic estimation for station grouping in highly dense IEEE 802.11ah networks

    Tian, Le  
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    Santi, Serena  
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    Latre, Steven  
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    Famaey, Jeroen  
    Proceedings paper
    2017, 1st ACM International Workshop on the Engineering of Reliable, Robust, and Secure Embedded Wireless Sensing Systems - FAILSAFE, 5/11/2017, p.1-9
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    Age of peak performance in professional road cycling

    Kholkine, Leonid  
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    Latre, Steven  
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    Verdonck, Tim  
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    de Leeuw, Arie-Willem  
    Journal article
    2023, JOURNAL OF SPORTS SCIENCES, (41) 3, p.298-306
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    AI-Empowered Management and Orchestration of Vehicular Systems in the Beyond 5G Era

    Slamnik-Krijestorac, Nina  
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    Camelo Botero, Miguel  
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    Chang, Chia-Yu
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    Soto Arenas, Paola  
    Journal article
    2023, IEEE NETWORK, (37) 4, p.305-313
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