Aarhus Universitets segl

Publikationer fra instituttet

Under publikationsliste finder du en samlet liste over de publikationer, som er lavet af medarbejdere ved Institut for Elektro- og Computerteknologi.

Publikationsliste

Sortér efter: Dato | Forfatter | Titel

Cruz Salazar, L. A., Gil Arboleda, S., Rueda Carvajal, G. D., Sánchez-Zuluaga, G. J. & D. Zapata-Madrigal, G. (2024). AI in assessing Industry 4.0 adoption in Colombia: a case study approach. IFAC-PapersOnLine, 58(8), 162-167. https://doi.org/10.1016/j.ifacol.2024.08.067
Craig, M. T., Wohland, J., Stoop, L. P., Kies, A., Pickering, B., Bloomfield, H. C., Browell, J., De Felice, M., Dent, C. J., Deroubaix, A., Frischmuth, F., Gonzalez, P. L. M., Grochowicz, A., Gruber, K., Härtel, P., Kittel, M., Kotzur, L., Labuhn, I., Lundquist, J. K. ... Brayshaw, D. J. (2022). Overcoming the disconnect between energy system and climate modeling. Joule, 6(7), 1405-1417. https://doi.org/10.1016/j.joule.2022.05.010
Cox, D. M., Damasceno, D. R., Hagsten, J., Hellesen, C., Hjelmeland, M., Jurasz, J., Kies, A., Lagnelöv, O., Lundberg, M., Lundström, L., McKenna, J. T. K., Norberg, P., Nøland, J. K., Llisterri, A. P., Qvist, S., Svanström, S., Såmark-Roth, A., Yang, Y., Hesamzadeh, M. R. & Tjernberg, L. B. (2026). Strategic capacity expansion planning in hydro-dominated power systems: Insights from the Nordics. Energy, 344, Artikel 139771. https://doi.org/10.1016/j.energy.2025.139771
Cogato, A., Pezzuolo, A., Sørensen, C. G., De Bei, R., Sozzi, M. & Marinello, F. (2020). A GIS-based multicriteria index to evaluate the mechanisability potential of Italian vineyard area. Land, 9(11), 1-17. Artikel 469. https://doi.org/10.3390/land9110469
Chumachenko, K., Iosifidis, A. & Gabbouj, M. (2021). Robust fast subclass discriminant analysis. I 2020 28th European Signal Processing Conference (EUSIPCO) (s. 1397-1401). Artikel 9287557 IEEE. https://doi.org/10.23919/Eusipco47968.2020.9287557
Chumachenko, K., Laakom, F., Raitoharju, J., Iosifidis, A. & Gabbouj, M. (2021). Rethinking compactness in deep neural networks. Afhandling præsenteret på International Conference on Machine Learning Workshop on Overparameterization. https://drive.google.com/file/d/1pu5xJMPvKuGFeVCcylEvLz00uLK3UN9I/view
Chumachenko, K., Gabbouj, M. & Iosifidis, A. (2022). Object detection and tracking. I A. Iosifidis & A. Tefas (red.), Deep Learning for Robot Perception and Cognition (s. 243-278). Elsevier. https://doi.org/10.1016/B978-0-32-385787-1.00016-6
Chronopoulos, C., Johansen, K. W., Teizer, J., Schultz, C. P. L. & Esterle, L. (2021). Towards a Holistic, Self-Organised Safety Framework for Construction. I Proceedings - 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2021 (s. 238-243). IEEE. https://doi.org/10.1109/ACSOS-C52956.2021.00060
Chronopoulos, C., Teizer, J. & Esterle, L. (2022). Trajectory Prediction: A Review of Methods and Challenges in Construction Safety. I J. Teizer & C. P. Leslie Schultz (red.), Proceedings of the 29thEG-ICE International Workshop on Intelligent Computing in Engineering (s. 428-438). European Group for Intelligent Computing in Engineering (EG-ICE). https://doi.org/10.7146/aul.455.c233
Chen, Y., Shahidehpour, M., Lin, Y., Dvorkin, Y., Peric, V., Zhao, J., Ugalde-Loo, C. E. & Ge, L. (2022). Guest Editorial: Situational awareness of integrated energy systems. IET Generation, Transmission and Distribution, 16(14), 2761-2765. https://doi.org/10.1049/gtd2.12524
Chen, J., Liang, Y. C., Cheng, H. V. & Yu, W. (2023). Channel Estimation for Reconfigurable Intelligent Surface Aided Multi-User mmWave MIMO Systems. IEEE Transactions on Wireless Communications, 22(10), 6853-6869. https://doi.org/10.1109/TWC.2023.3246264
Chen, F., Xiang, L., Sun, H., Cheng, H. V. & Shen, K. (2025). Shuffling for Semantic Secrecy. IEEE Transactions on Information Forensics and Security, 20, 5240-5255. https://doi.org/10.1109/TIFS.2025.3573192
Chen, Y., Liu, H., Liu, Y., Xie, J., Yang, R., Yuan, H., Fu, Y., Zhou, P. Y., Chen, Q., Caverlee, J. & Li, I. (2025). GraphCheck: Breaking Long-Term Text Barriers with Extracted Knowledge Graph-Powered Fact-Checking. I W. Che, J. Nabende, E. Shutova & M. T. Pilehvar (red.), Proceedings of the Annual Meeting of the Association for Computational Linguistics: Volume 1: Long Papers (s. 14976-14995). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2025.acl-long.729
Cavagna, A., Li, N., Iosifidis, A. & Zhang, Q. (2023). Semantic Communication Enabling Robust Edge Intelligence for Time-Critical IoT Applications. I 2023 IEEE International Conference on Communications Workshops (ICC Workshops) (s. 1617-1622). IEEE. https://doi.org/10.1109/ICCWorkshops57953.2023.10283786
Castillo-Sánchez, J. B., Cano-García, J. M., González-Parada, E. & Frasheri, M. (2025). Enabling Autonomous Agents for Mobile Wireless Sensor Networks. Applied Sciences (Switzerland), 15(11), Artikel 6193. https://doi.org/10.3390/app15116193
Casadei, R., Esterle, L., Gamble, R., Harvey, P. & Wanner, E. F. (2024). Editorial: Understanding and engineering cyber-physical collectives. Frontiers in Robotics and AI, 11, Artikel 1407421. https://doi.org/10.3389/frobt.2024.1407421
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
Çabuk, U. C., Tosun, M., Jacobsen, R. H. & Dagdeviren, O. (2020). Path Loss Estimation of Air-to-Air Channels for FANETs over Rugged Terrains. I 2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings Artikel 9302160 IEEE. https://doi.org/10.1109/SIU49456.2020.9302160
Çabuk, U. C., Tosun, M., Jacobsen, R. H. & Dagdeviren, O. (2020). A Holistic Energy Model for Drones. I 2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings Artikel 9302218 IEEE. https://doi.org/10.1109/SIU49456.2020.9302218
Cabrera, A. F., Gram-Kampmann, E. M., Kappel, S. L., Remvig, L. S., Toft, H. O., Madsen, R. E., Juhl, C., Kidmose, P. & Rank, M. L. (2024). Detection of Hypoglycemia using ear-EEG. I 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024 - Proceedings IEEE. https://doi.org/10.1109/EMBC53108.2024.10781651
Brusatori, M. F. & Volet, N. (2021). Revised theory for the linewidth of diode lasers under external optical feedback. I V. S. Ilchenko, A. M. Armani, J. V. Sheldakova, A. V. Kudryashov & A. H. Paxton (red.), Laser Resonators, Microresonators, and Beam Control XXIII Artikel 1167211 SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.2583210
Bozorgtabar, B., Mahapatra, D., Roy , S., Naseer, M., Razzak, I. & Ge, Z. (Accepteret/In press). LATA: Laplacian-Assisted Transductive Adaptation for Conformal Uncertainty in Medical VLMs. I Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition IEEE. https://arxiv.org/pdf/2602.17535
Bozcan, I. & Kayacan, E. (2020). UAV-AdNet: Unsupervised Anomaly Detection using Deep Neural Networks for Aerial Surveillance. I 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (s. 1158-1164). Artikel 9341790 IEEE. https://doi.org/10.1109/IROS45743.2020.9341790
Bozcan, I., Korndörfer, C., Madsen, M. W. & Kayacan, E. (2022). Score-based Anomaly Detection for Smart Manufacturing Systems. IEEE - ASME Transactions on Mechatronics, 27(6), 5233-5242. https://doi.org/10.1109/TMECH.2022.3169724
Bozcan, I. (2021). Learning-based Anomaly Detection for Aerial Surveillance. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.
Bowen, J. P., Gomes, C. & Liu, Z. (2025). Preface. I J. P. Bowen, C. Gomes & Z. Liu (red.), Engineering Trustworthy Software Systems (s. vii-xiv). Springer.
Boudjadar, J. (2020). A Study of the Trade-off Energy Consumption-Performance-Schedulability for DVFS Multicore Systems. International Journal of Computer and Information Engineering, 14(11), 380-391.
Boudjadar, J. & Beck, M. M. (2021). Intelligent Time Synchronization Protocol for Energy Efficient Sensor Systems. Afhandling præsenteret på Intelligent Systems Conference , Amsterdam, Holland.