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Publications by Communication, Control & Automation

Are you looking for publications by Section of Communication, Control & Automation? On this page you can find all the publications made by the Section of Communication, Control & Automation - Department of Electrical and Computer Engineering, Aarhus University.

Below you can find a list of all the publications, their publishing date, their author(s), and titles. The list can be sorted by date, author, and title:

List of Publications

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Hundebøll, M., Pahlevani, P., Lucani Rötter, D. E. & Fitzek, F. H. P. (2014). Throughput vs. Delay in Lossy Wireless Mesh Networks with Random Linear Network Coding. In European Wireless 2014; 20th European Wireless Conference; Proceedings of (pp. 330-335). VDE. http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6843201
Hundebøll, M., Pedersen, M. V., Lucani Rötter, D. E. & Fitzek, F. H. P. (2014). Supporting Dynamic Adaptive Streaming over HTTP in Wireless Meshed Networks using Random Linear Network Coding. In Network Coding (NetCod), 2014 International Symposium on (pp. 1-6). IEEE. http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6892125
Hui, P., Kangasharju, J., Braud, T., Lee, L. H. & Zhou, P. (2023). Message from MetaSys '23 Chairs. In MetaSys '23: Proceedings of the First Workshop on Metaverse Systems and Applications (pp. I). Association for Computing Machinery.
Hudson, N., Khamfroush, H. & Lucani Rötter, D. E. (2021). QoS-Aware Placement of Deep Learning Services on the Edge with Multiple Service Implementations. In 30th International Conference on Computer Communications and Networks, ICCCN 2021 IEEE. https://doi.org/10.1109/ICCCN52240.2021.9522156
Hudson, N., Khamfroush, H., Baughman, M., Lucani Rötter, D. E., Chard, K. & Foster, I. (2024). QoS-aware edge AI placement and scheduling with multiple implementations in FaaS-based edge computing. Future Generation Computer Systems, 157, 250-263. https://doi.org/10.1016/j.future.2024.03.035
Huang, Q., Li, H., Liao, Y., Hao, Y. & Zhou, P. (2024). Noise-NeRF: Hide Information in Neural Radiance Field Using Trainable Noise. In M. Wand, K. Malinovská, J. Schmidhuber & I. V. Tetko (Eds.), Artificial Neural Networks and Machine Learning – ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Proceedings (pp. 320-334). Springer. https://doi.org/10.1007/978-3-031-72335-3_22
Hosseinzadeh, M., Wachal, A., Khamfroush, H. & Lucani Rötter, D. E. (2021). Optimal Accuracy-Time Trade-off For Deep Learning Services in Edge Computing Systems. In ICC 2021 - IEEE International Conference on Communications, Proceedings IEEE. https://doi.org/10.1109/ICC42927.2021.9500744
Hosseinzadeh, M., Wachal, A., Khamfroush, H. & Lucani Rötter, D. E. (2022). QoS-Aware Priority-Based Task Offloading for Deep Learning Services at the Edge. In 2022 IEEE Annual Consumer Communications & Networking Conference (CCNC) (pp. 319-325). IEEE. https://doi.org/10.1109/CCNC49033.2022.9700676
Hosseinzadeh, M., Hudson, N., Zhao, X., Khamfroush, H. & Lucani Rötter, D. E. (2021). Joint Compression and Offloading Decisions for Deep Learning Services in 3-Tier Edge Systems. In 2021 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2021 (pp. 254-261). IEEE. https://doi.org/10.1109/DySPAN53946.2021.9677398
Hervella, C., Diez, L., Fernández, F., Marcano, N. J. H., Jacobsen, R. H. & Agüero, R. (2022). Realistic Assessment of Transport Protocols Performance over LEO-based Communications. In PE-WASUN '22: Proceedings of the 19th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor & Ubiquitous Networks (pp. 91-98). Association for Computing Machinery. https://doi.org/10.1145/3551663.3558680
Hernandez Marcano, N. J., Heide, J., Videbæk Pedersen, M., Lucani Rötter, D. E., Vingelmann, P. & Fitzek, F. H. P. (2016). Getting Kodo: Network Coding for the ns-3 Simulator. 101-107. Paper presented at ACM Workshop on ns-3, Seattle, United States. https://doi.org/10.1145/2915371.2915389
Hernandez Marcano, N. J., Heide, J., Lucani Rötter, D. E. & Fitzek, F. H. P. (2016). On Transmission Policies in Multihop Device-to-Device Communications with Network Coded Cooperation. 350-354. Paper presented at European Wireless, Oulu, Finland.
Hernandez Marcano, N. J., Heide, J., Lucani Rötter, D. E. & Fitzek, F. H. P. (2015). On the Overhead of Telescopic Codes in Network Coded Cooperation. Paper presented at 82nd IEEE International Vehicular Techn ology Conference, Boston, United States. https://doi.org/10.1109/VTCFall.2015.7391046
Hernandez Marcano, N. J., Krigslund, J., Pihl, J., Videbæk Pedersen, M., Heide, J., Vingelmann, P. & Lucani Rötter, D. E. (2015). Wurf.it: A Network Coding Reliable Multicast Content Streaming Solution - NS-3 Simulations and Implementation. Paper presented at ACM Workshop on ns-3, Seattle, United States. https://doi.org/10.13140/RG.2.1.4565.4643
Hernandez Marcano, N. J., Lauritsen, J. H., Jacobsen, K. K. & Jacobsen, R. H. (2019). Enabling Secure Multicast Group Communications in IP Wireless Networks for the Internet of Things. In European Wireless 2019 Conference, EW 2019: 25th European Wireless Conference (pp. 83-89). VDE Verlag GmbH. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8835944&isnumber=8835929
Hernandez Marcano, N. J., Møller, M., Hansen, S. & Jacobsen, R. H. (2019). On Fully Homomorphic Encryption for Privacy-Preserving Deep Learning. In 2019 IEEE Globecom Workshops, GC Wkshps 2019 - Proceedings Article 9024625 IEEE. https://doi.org/10.1109/GCWkshps45667.2019.9024625
Helmstedt, C., Manouselis , N. M., Martín-Moncunill, D., Protonotarios, V., Sicilia, M.-A., M. Stracke, C., Adamides, G., Aventurier, P., Belsis, P., Beyer, J., Biniari, K., Bouza, D., Ciotoli, F., Engel-Vermette, S., Nicola Ghirad, N. G., Koutoumanos, A., Jensen, A. L., Le Henaff, D., Masselin-Silvin , S. ... Tsiflidou, E. (2020). Opening Up Access to Scientific Information: Recommendations for Improving Virtual Repositories and Online Communities. University Publisher. https://hal.inrae.fr/hal-02806629/document
Heide, J., Zhang, Q., Pedersen, M. V. & Fitzek, F. H. P. (2011). Reducing Computational Overhead of Network Coding with Intrinsic Information Conveying. Paper presented at IEEE 74th Vehicular Technology Conference, San Francisco, United States. http://vbn.aau.dk/files/55734934/intrinsic.pdf
Heide, J., Vingelmann, P., Pedersen, M. V., Zhang, Q. & Fitzek, F. H. P. (2012). The Impact of Packet Loss Behavior in 802.11g on the Cooperation Gain in Reliable Multicast. In 2012 IEEE Vehicular Technology Conference (VTC Fall): proceedings (pp. 1-5). IEEE Press. https://doi.org/10.1109/VTCFall.2012.6398999
Heide, J., Zhang, Q. & Fitzek, F. H. P. (2013). Selecting Optimal Parameters of Random Linear Network Coding for Wireless Sensor Networks. I E E E V T S Vehicular Technology Conference. Proceedings. http://www.ieeevtc.org/vtc2013fall/
Heide, J., Zhang, Q., Pedersen, M. V. & Fitzek, F. H. P. (2011). Intrinsic Information Conveying for Network Coding Systems. I E E E V T S Vehicular Technology Conference. Proceedings.
Heide, J., Pedersen, M., Fitzek, F. H. P. & Zhang, Q. (2011). Intrinsic information conveyance in network coding. (Patent No. IB2010/051208). http://www.google.com/patents/WO2011114191A1?cl=en
Hegde, S., Shi, L., Hernandez Marcano, N. J., Shrivastava, R., Blume, O. & Jacobsen, R. H. (2021). Sidelink Group Resource Scheduling for Platoons in Cellular Vehicle-to-Vehicle Communications. In 2021 IEEE 93rd Vehicular Technology Conference, VTC 2021-Spring - Proceedings Article 9449009 IEEE. https://doi.org/10.1109/VTC2021-Spring51267.2021.9449009
Hefner, M., Labouriau, R., Nørremark, M., de Visser, R., Bay, P. & Kristensen, H. L. (2017). Flere rødder og højere udbytte i faste kørespor i økologisk grønsagsdyrkning. Poster session presented at Økologikongres 2017, Kolding, Denmark.
He, Z., Zhang, Q. & Iversen, V. B. (2007). Trunk reservation in multi-service networks with BPP traffic. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4396 LNCS, pp. 200-212)
He, B., Yang, Y., Wu, Q., Liu, H., Yang, R., Peng, H., Wang, X., Liao, Y. & Zhou, P. (2024). Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers. In K. Larson (Ed.), Proceedings of the 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024 (pp. 5844-5852). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2024/646
Hasanvand , S., Rafiei Foroushani, M., Gheisarnejad, M. & Khooban, M. H. (2020). Reliable Power Scheduling of an Emission-Free Ship: Multi-Objective Deep Reinforcement Learning. IEEE Transactions on Transportation Electrification, 6(2), 832-843. Article 9046850. https://doi.org/10.1109/TTE.2020.2983247
Hao, Y., Duan, J., Zhang, H., Zhu, B., Zhou, P. & He, X. (2022). Unsupervised Video Hashing with Multi-granularity Contextualization and Multi-structure Preservation. In MM 2022 - Proceedings of the 30th ACM International Conference on Multimedia (pp. 3754-3763). Association for Computing Machinery. https://doi.org/10.1145/3503161.3547836
Hansen, J. G., Lassen, P., Jensen, A. L. & Thysen, I. (1999). Information and decision support for the control of potato late blight based on integrated PC and Internet applications. In H. Shepers & E. Bouma (Eds.), Proceedings of the Workshop on the European network for development of an integrated Control Strategy of Potato Late Blight (pp. 66-80)