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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Rasool, S. & Jacobsen, R. H. (2025). Perspective Chapter: Leveraging Self-Sovereign Identity to Introduce ReCert: A Foundational Framework for Decentralized BCTE Solutions. I Blockchain - Pioneering the Web3 Infrastructure for an Intelligent Future InTechOpen. https://doi.org/10.5772/intechopen.1007156

Hernández Marcano, N. J., Gjedsted Brask, C., Shi, L. & Jacobsen, R. H. (2024). An Experimental Study of 2.4 GHz LoRa Path Loss for Air-to-Ground Communication in Rural Areas. I 2024 IEEE 100th Vehicular Technology Conference, VTC 2024-Fall - Proceedings IEEE. https://doi.org/10.1109/VTC2024-Fall63153.2024.10757562

Rasool, S. & Jacobsen, R. H. (2024). REC to ReCert: Introducing Re-Certification to Empower Prosumer-driven Certificate Aggregators. I 2024 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2024 (s. 77-83). IEEE. https://doi.org/10.1109/SmartGridComm60555.2024.10738030

Khan, F., Hervella, C., Diez, L., Fernández, F., Marcano, N. J. H., Jacobsen, R. H. & Agüero, R. (2023). Realistic assessment of transport protocols performance over LEO-based communications. Computer Networks, 236, Artikel 110008. https://doi.org/10.1016/j.comnet.2023.110008

Kaiser, M., Kristensen, J. K. & Thomsen, P. T. (2025). Technical note: Construction of a CO2 supply system for depopulation of pigs in a container. Translational Animal Science, 9, Artikel txaf034. https://doi.org/10.1093/tas/txaf034

Asiminari, G., Benos, L., Kateris, D., Busato, P., Achillas, C., Grøn Sørensen, C., Pearson, S. & Bochtis, D. (2025). Simplifying Field Traversing Efficiency Estimation Using Machine Learning and Geometric Field Indices. AgriEngineering, 7(3), Artikel 75. https://doi.org/10.3390/agriengineering7030075

Li, N., Iosifidis, A. & Zhang, Q. (2025). Dynamic Semantic Compression for CNN Inference in Multi-Access Edge Computing: A Graph Reinforcement Learning-Based Autoencoder. IEEE Transactions on Wireless Communications, 24(3), 2157-2172. https://doi.org/10.1109/TWC.2024.3518399

Haiyang, Y., Ruige, G., Zhongda, Z., Yuzhang, Z., Xiaobo, Z., Tao, L. & Haiyan, W. (2025). U-TransCNN: A U-shape transformer-CNN fusion model for underwater image enhancement. Displays, 88, Artikel 103047. https://doi.org/10.1016/j.displa.2025.103047

Lee, L. H., Zhou, P. Y., Zhang, C. & Hosio, S. (2025). What if we have Metaverse GPT? Content singularity and human-Metaverse interaction in the AIGC era. I Human-Centered Metaverse: Concepts, Methods, and Applications (s. 13-28). Elsevier. https://doi.org/10.1016/B978-0-443-21996-2.00015-2

Zhang, S., Ding, Y., Tang, W., Sun, W., Liao, Y. & Zhou, P. Y. (2025). Privacy-Preserving Orthogonal Aggregation for Guaranteeing Gender Fairness in Federated Recommendation. I WSDM 2025 - Proceedings of the 18th ACM International Conference on Web Search and Data Mining (s. 327-335). Association for Computing Machinery. https://doi.org/10.1145/3701551.3703513

Zhou, P. Y. (2024). Unleashing GPT on the Metaverse: Savior or Destroyer? [Point of View]. Proceedings of the IEEE, 112(10), 1572-1582. https://doi.org/10.1109/JPROC.2024.3462604

Nørremark, M., Brask, M. J. & Kai, P., (2025). Supplerende spørgsmål til rapport om Miljø- og Klimateknologi 2025, Nr. 2025-0822982, 14 s., apr. 11, 2025. Rådgivningsnotat fra DCA - Nationalt Center for Fødevarer og Jordbrug

Fan, W., Haiyang, Y., Zhongda, Z., Xiaobo, Z., Yuzhang, Z. & Haiyan, W. (2025). ESTMST-ST: An End-to-End Soft Threshold and Multiloss Self-Distillation Based Swin Transformer for Underwater Acoustic Signal Recognition. IEEE Transactions on Geoscience and Remote Sensing, 63, Artikel 4200813. https://doi.org/10.1109/TGRS.2024.3520860

Rafiei Foroushani, M. & Nørremark, M. (2025). Investigation of available ground-truth data in Denmark that can be used for remote identification and localization of populations of selected plant species. DCA - Nationalt Center for Fødevarer og Jordbrug. Rådgivningsrapport fra DCA - Nationalt Center for Fødevarer og Jordbrug

Nørremark, M., Adamsen, A. P. S., Brask, M. J., Børsting, C. F., Hansen, M. J., Kai, P. & Ottosen, C.-O. (2025). Miljø- og Klimateknologi 2025. DCA - Nationalt Center for Fødevarer og Jordbrug. Rådgivningsrapport fra DCA - Nationalt Center for Fødevarer og Jordbrug

Kai, P. & Nørremark, M., (2025). Kortlægning af tekniske elementer af betydning for omlægning fra burægsproduktion til produktion af skrabe-, frilands- og økologiske æg, Nr. 2025-0796920, 21 s., mar. 26, 2025. Rådgivningsnotat fra DCA - Nationalt Center for Fødevarer og Jordbrug

Vahdanjoo, M., Grøn Sørensen, C. & Nørremark, M. (2025). Digital transformation of the agri-food system. Current Opinion in Food Science, 63, Artikel 101287. https://doi.org/10.1016/j.cofs.2025.101287

Gasso, V., Barber, A., Moller, H., Bayonne, E., Oudshoorn, F. W. & Sørensen, C. G. (2025). Benchmarking for locally tuned sustainability: The case of energy and water use in New Zealand vineyards. Environmental and Sustainability Indicators, 25, Artikel 100536. https://doi.org/10.1016/j.indic.2024.100536

Rafiei, M., Asif, MR., Nørremark, M. & Sørensen, CAG. (2024). High-Resolution Near-Surface Soil Water Content Estimation, Using Remote Sensing Data and Deep Computer Vision Methods. I NSG 2024 30th European Meeting of Environmental and Engineering Geophysics (s. 1-5). European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.202420111

Rong, L., Kristensen, J. K., Jung, S., Zhang, G., Kobek-Kjeldager, C., Thodberg, K., Foldager, L. & Herskin, M. S. (2024). Air temperature measured by embedded sensors adopted by pig transporting vehicles in a scaled compartment model. I Book of Abstracts of the 75th Annual Meeting of the European Federation of Animal Science (s. 783-783). Artikel Session 70, Poster 13 Wageningen Academic Publishers.

Chen, X., Bao, J., Zhou, P. & Liao, Y. (2023). Hierarchical Privacy-Preserved Knowledge Graph. I Proceedings - 2023 IEEE 43rd International Conference on Distributed Computing Systems, ICDCS 2023 (s. 977-978). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDCS57875.2023.00097

Zhou, P. Y., Fu, S., Finley, B., Li, X., Tarkoma, S., Kangasharju, J., Ammar, M. & Hui, P. (2024). 5G MEC Computation Handoff for Mobile Augmented Reality. I Proceedings - 2024 IEEE International Conference on Metaverse Computing, Networking, and Applications, MetaCom 2024 (s. 129-136). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MetaCom62920.2024.00032

Li, H., Shi, H., Zhang, W., Wu, W., Liao, Y., Wang, L., Lee, L. H. & Zhou, P. Y. (2025). DreamScene: 3D Gaussian-Based Text-to-3D Scene Generation via Formation Pattern Sampling. I A. Leonardis, E. Ricci, S. Roth, O. Russakovsky, T. Sattler & G. Varol (red.), Computer Vision – ECCV 2024 - 18th European Conference, Proceedings (s. 214-230). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-72904-1_13

Marinoudi, V., Benos, L., Villa, C. C., Kateris, D., Berruto, R., Pearson, S., Sørensen, C. G. & Bochtis, D. (2024). Large language models impact on agricultural workforce dynamics: Opportunity or risk? Smart Agricultural Technology, 9, Artikel 100677. https://doi.org/10.1016/j.atech.2024.100677

Ding, Y., Zhang, S., Fan, B., Sun, W., Liao, Y. & Zhou, P. Y. (2024). FedLoCA: Low-Rank Coordinated Adaptation with Knowledge Decoupling for Federated Recommendations. I RecSys '24: Proceedings of the 18th ACM Conference on Recommender Systems (s. 690-700). Association for Computing Machinery, Inc.. https://doi.org/10.1145/3640457.3688112

Kristensen, M. H., Bonizzi, A., Gomes, C., Hansen, S. T., Isasa Martin, C. I., Iven, H., Kamburjan, E., Larsen, P. G., Leucker, M., Talasila, P., Evans, V. T., Tonetta, S., Vosteen, L. B. & Wright, T. D. (2024). Runtime Verification of Autonomous Systems Utilizing Digital Twins as a Service. I 2024 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C) (s. 121-127). IEEE. https://doi.org/10.1109/ACSOS-C63493.2024.00042

Zheng, X., Zhou, P., Vasilakos, A. V. & Wang, L. (2024). Semantics, Distortion, and Style Matter: Towards Source-Free UDA for Panoramic Segmentation. I 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024 (s. 27885-27895). IEEE Computer Society. https://doi.org/10.1109/CVPR52733.2024.02634

Li, H., Ma, L., Shi, H., Hao, Y., Liao, Y., Cheng, L. & Zhou, P. Y. (2025). 3D-GOI: 3D GAN Omni-Inversion for Multifaceted and Multi-object Editing. I A. Leonardis, E. Ricci, S. Roth, O. Russakovsky, T. Sattler & G. Varol (red.), Computer Vision – ECCV 2024 - 18th European Conference, Proceedings (s. 390-406). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-73033-7_22

Zheng, X., Zhou, P. Y., Vasilakos, A. V. & Wang, L. (2024). 360SFUDA++: Towards Source-free UDA for Panoramic Segmentation by Learning Reliable Category Prototypes. IEEE Transactions on Pattern Analysis and Machine Intelligence, 47(2), 1190-1204. https://doi.org/10.1109/TPAMI.2024.3490619

Mohan, N., Zhou, P., Govindaraj, K. & Kangasharju, J. (2017). Grouping computational data in resource caches of Edge-Fog cloud. I CrossCloud 2017 - 4th Workshop on CrossCloud Infrastructures and Platforms, Colocated with EuroSys 2017 Artikel 3069391 Association for Computing Machinery, Inc.. https://doi.org/10.1145/3069383.3069391

Sun, M., Zhou, P., Tian, H., Liao, Y. & Xie, H. (2022). Spatial-Temporal Attention Network for Crime Prediction with Adaptive Graph Learning. I E. Pimenidis, M. Aydin, P. Angelov, C. Jayne & A. Papaleonidas (red.), Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Proceedings (s. 656-669). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-15931-2_54

Nørremark, M., (2024). Muligheder for miljøeffektberegning af teknologier for pesticidreduktion i relation til økologisk jordbrug, Nr. 2024-0751020, 4 s., nov. 29, 2024. Rådgivningsnotat fra DCA - Nationalt Center for Fødevarer og Jordbrug

Jiang, X., Ma, Z., Fu, Y., Liao, Y. & Zhou, P. (2024). Heterogeneity-Aware Federated Deep Multi-View Clustering towards Diverse Feature Representations. I MM 2024 - Proceedings of the 32nd ACM International Conference on Multimedia (s. 9184-9193). Association for Computing Machinery, Inc.. https://doi.org/10.1145/3664647.3681302

Nørremark, M., Hansen, M. J., Adamsen, A. P. S., Kai, P., Børsting, C. F., Brask, M. J., Ottosen, C.-O. & Jensen, M., (2024). Notat vedrørende miljø- og klimateknologier – screening af teknologier. Del 1, Nr. 2024-0766762, 54 s., nov. 22, 2024.

Lee, L. H., Braud, T., Zhou, P. Y., Wang, L., Xu, D., Lin, Z., Kumar, A., Bermejo, C. & Hui, P. (2024). All One Needs to Know about Metaverse: A Complete Survey on Technological Singularity, Virtual Ecosystem, and Research Agenda. Foundations and Trends in Human-Computer Interaction, 18(2-3), 100-337. https://doi.org/10.1561/1100000095

Hadi Mogavi, R., Son, J., Yang, S., Wang, D. M., Choong, L., Alhilal, A., Zhou, P. Y., Hui, P. & Nacke, L. E. (2024). The Jade Gateway to Exergaming: How Socio-Cultural Factors Shape Exergaming Among East Asian Older Adults. Proceedings of the ACM on Human-Computer Interaction, 8, Artikel 341. https://doi.org/10.1145/3677106

Foldager, L., Thodberg, K., Chen, G., Kristensen, J. K., Jensen, L. D., Kaiser, M., Kobek-Kjeldager, C., Rong, L. & Herskin, M. S. (2024). Effects of deck height during transport of weaners: in-vehicle conditions and clinical indicators. I Book of Abstracts of the 75th Annual Meeting of the European Federation of Animal Science (s. 487-487). Artikel Session 38, Poster 12 Wageningen Academic Publishers.

Dideriksen, A. K., Andersen, M. F., Priest, J., Eriksen, N. F., Frandsen, M. T., Melvad, C., Rasmussen, T. F., Nielsen, N. H. K., Strømsnes, C. T., Ahlebæk, M. J., Samsing, S., Larsen, T. B., Don, J., Pedersen, L. A. N., Jacobsen, R. H., Rysgaard, S., Kim, J. M., Bayer, R., Christensen, C. ... Karoff, C. (2024). DISCO-2 – an ambitious earth observing student CubeSat for arctic climate research. Frontiers in Remote Sensing, 5, Artikel 1474560. https://doi.org/10.3389/frsen.2024.1474560

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. I K. Larson (red.), Proceedings of the 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024 (s. 5844-5852). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2024/646

Huang, Q., Li, H., Liao, Y., Hao, Y. & Zhou, P. (2024). Noise-NeRF: Hide Information in Neural Radiance Field Using Trainable Noise. I M. Wand, K. Malinovská, J. Schmidhuber & I. V. Tetko (red.), Artificial Neural Networks and Machine Learning – ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Proceedings (s. 320-334). Springer. https://doi.org/10.1007/978-3-031-72335-3_22

Evans, V. T., Gomes, C. & Lucani Rötter, D. E. (2025). Precision on Demand: Propositional Logic for Event-Trigger Threshold Regulation. IEEE Internet of Things Journal, 12(3), 2674-2689. https://doi.org/10.1109/JIOT.2024.3476922

Cai, X. & Cheng, H. V. (2024). Array Pattern Synthesis with Discrete Phases for Reconfigurable Intelligent Surfaces. I 2024 IEEE 25th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) (s. 741 - 745). IEEE. https://doi.org/10.1109/SPAWC60668.2024.10694155

Cai, X. & Cheng, H. V. (2023). Direct Channel Estimation Between MIMO Transmitter and Reconfigurable Intelligent Surface. I IEEE Conference on Global Communications (GLOBECOM) (s. 4217-4222). IEEE. https://doi.org/10.1109/GLOBECOM54140.2023.10437250

Lin, Y., Liao, Y., Wu, Z. & Zhou, P. (2024). Mitigating Backdoors in Federated Learning with FLD. I 2024 5th International Seminar on Artificial Intelligence, Networking and Information Technology, AINIT 2024 (s. 530-535). IEEE. https://doi.org/10.1109/AINIT61980.2024.10581839

Liu, H., Yang, Y., Wu, Q., He, B., Liao, Y. & Zhou, P. (2024). FacGNN: Multi-faceted Fairness Enhancement for GNN through Adversarial and Contrastive Learning. I 2024 International Joint Conference on Neural Networks (IJCNN) IEEE. https://doi.org/10.1109/IJCNN60899.2024.10649939

Tang, W., Cao, Y., Ying, J., Wang, B., Zhao, Y., Liao, Y. & Zhou, P. (2024). A + B: A General Generator-Reader Framework for Optimizing LLMs to Unleash Synergy Potential. I L.-W. Ku, A. Martins & V. Srikumar (red.), 62nd Annual Meeting of the Association for Computational Linguistics, ACL 2024 - Proceedings of the Conference (s. 3670-3685). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2024.findings-acl.219

Zheng, X., Luo, Y., Zhou, P. & Wang, L. (2025). Distilling efficient Vision Transformers from CNNs for semantic segmentation. Pattern Recognition, 158, Artikel 111029. https://doi.org/10.1016/j.patcog.2024.111029

Frasheri, M., Katsaros, P., Iosifidis, A., Hansen, S. T., Gomes, C., Evans, V. T. & Larsen, P. G. (2024). System Monitoring through a Digital Twin. I J. Fitzgerald, C. Gomes & P. G. Larsen (red.), The Engineering of Digital Twins (s. 189-207). Springer. https://doi.org/10.1007/978-3-031-66719-0_9

Kretsis, A., Kokkinos, P., Varvarigos, E., Syrivelis, D., Bakopoulos, P., Sipos, M., Fehér, M., Lucani Rötter, D. E., Bernabe, J. M., Skarmeta, A., Paez, I., Cominardi, L., Mercier, M., Velho, P., Georgiou, Y., Mainas, C., Nanos, A., Martin, J., Fernandez Gomez, A. ... Chintamani, K. (2024). EMPYREAN: Trustworthy, Cognitive and AI-driven Collaborative Associations of IoT Devices and Edge Resources for Data Processing. I HPDC 2024 - Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing (s. 385 - 388). Association for Computing Machinery. https://doi.org/10.1145/3625549.3658814

Larsen, P. G., Fitzgerald, J., Gomes, C., Woodcock, J., Basagiannis, S., Ulisse, A., Esterle, L., Lucani Rötter, D. E., Hansen, S. T. & Oakes, B. J. (2024). Future Directions and Challenges. I J. Fitzgerald, C. Gomes & P. G. Larsen (red.), The Engineering of Digital Twins (s. 363-386). Springer. https://doi.org/10.1007/978-3-031-66719-0_15

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Revideret 10.08.2023

AU Engineering