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

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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. https://doi.org/10.1145/3664647.3681302
Jiang, X., Gao, Y., Xu, H., Zhang, Q., Liao, Y. & Zhou, P. Y. (2025). Knowledge Rumination for Client Utility Evaluation in Heterogeneous Federated Learning. I 2025 IEEE International Conference on Multimedia and Expo: Journey to the Center of Machine Imagination, ICME 2025 - Conference Proceedings IEEE Computer Society Press. https://doi.org/10.1109/ICME59968.2025.11210094
Jeppesen, J. H., Nørremark, M. & Jacobsen, R. H. (2022). Potato Cyst Nematode Detection based on Open Satellite Data. DCA - Nationalt Center for Fødevarer og Jordbrug. Advisory report from DCA – National Center for Food and Agriculture
Jensen, F., Hassan, A. & Bazzi, A. (2022). A Comparison Between Nonlinear Kalman Filters for Sensorless Induction Motor Drives. Afhandling præsenteret på IEEE Energy Conversion Congress and Expo (ECCE 2022), Detroit, Michigan, USA. https://doi.org/10.1109/ECCE50734.2022.9947433
Jensen, A. L., Kristensen, E. F. & Grøn Sørensen, C. (2022). Feasibility study for organic farming. Poster-session præsenteret på The XX CIGR World Congress 2022, Kyoto, Japan.
Jensen, R. I. T., Ferwerda, J., Jørgensen, K. S., Jensen, E. R., Borg, M., Krogh, M. P., Jensen, J. B. & Iosifidis, A. (2023). A synthetic data set to benchmark anti-money laundering methods. Scientific Data, 10(1), Artikel 661. https://doi.org/10.1038/s41597-023-02569-2
Jensen, A. M. D., Schoerghofer-Queiroz, A., Ulriksen, M. D., Tcherniak, D., Damkilde, L., Talasila, P., Larsen, P. G. & Abbiati, G. (2024). Digital twin as a service for damage prognosis of offshore wind turbine foundations. I W. Desmet, B. Pluymers, D. Moens & J. del Fresno Zarza (red.), Proceedings of ISMA 2024 - International Conference on Noise and Vibration Engineering and USD 2024 - International Conference on Uncertainty in Structural Dynamics (s. 4127-4141). KU Leuven, Departement Werktuigkunde.
Jensen, M., Toft Jacobsen, J., Sharifirad, I. & Boudjadar, J. (2023). Advanced Acceleration and Implementation of Convolutional Neural Networks on FPGAs. I J. Chen & L. T. Yang (red.), 2023 IEEE International Conference on High Performance Computing & Communications, Data Science & Systems, Smart City & Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys): Proceedings (s. 558-565). IEEE. https://doi.org/10.1109/HPCC-DSS-SmartCity-DependSys60770.2023.00082
Jensen, R. I. T., Gerlings, J. & Ferwerda, J. (2025). Do Awareness Campaigns Reduce Financial Fraud? European Journal on Criminal Policy and Research, 31(4), 717-752. https://doi.org/10.1007/s10610-024-09573-1
Jensen, R. I. T. (2024). Machine Learning for Anti-money Laundering. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.
Jakobsen, M. O. (2024). Detection of Lubrication Conditions in Ball Bearings Using Acoustic Ultrasound Signals. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.
Jakobsen, N. K. (2026). State-Based Modelling with a Concept DSL. I M. Leuschel & F. Ishikawa (red.), Rigorous State-Based Methods - 11th International Conference, ABZ 2025, Proceedings (s. 311-321). Springer. https://doi.org/10.1007/978-3-031-94533-5_18
Jain, A., Cunha, F., Bunsen, M. J., Cañas, J. S., Pasi, L., Pinoy, N., Helsing, F., Russo, J., Botham, M., Sabourin, M., Fréchette, J., Anctil, A., Lopez, Y., Navarro, E., Perez Pimentel, F., Zamora, A. C., Silva, J. A. R., Gagnon, J., August, T. ... Rolnick, D. (2025). Insect Identification in the Wild: The AMI Dataset. I A. Leonardis , E. Ricci , S. Roth , O. Russakovsky , T. Sattler & G. Varol (red.), Computer Vision – ECCV 2024 - 18th European Conference, Proceedings (s. 55-73). Springer. https://doi.org/10.1007/978-3-031-72913-3_4
Jahangir, M. F., Kamari, A. & Schultz, C. P. L. (2024). Developing A Building Simulation Identity Card for Enhanced Safety and Collaboration in Emergency Evacuation Simulations. I M. Srećković, M. Kassem, R. Soman & A. Chassiakos (red.), Proceedings of the 2024 European Conference on Computing in Construction (s. 128-135) https://doi.org/10.35490/EC3.2024.199, https://doi.org/10.35490/EC3.2024.199
Jacobsen, R. H., Matlekovic, L., Shi, L., Malle, N., Ayoub, N., Hageman, K., Hansen, S., Nyboe, F. F. & Ebeid, E. (2023). Design of an Autonomous Cooperative Drone Swarm for Inspections of Safety Critical Infrastructure. Applied Sciences (Switzerland), 13(3), Artikel 1256. https://doi.org/10.3390/app13031256
Ivriq, S. B. (2026). Bridging the Worlds of Inorganic Chemistry and Biology: Fundamentals of Bioelectrochemistry. I K. Z. Mousaabadi & K. Aiyer (red.), Electrochemical Insights into Bioinorganic Systems (s. 1-19). Royal Society of Chemistry. https://doi.org/10.1039/9781837678945-00001
Islam, M. T., Khan, H. A., Naveed, K., Nauman, A., Gulfam, S. M. & Kim, S. W. (2023). LUVS-Net: A Lightweight U-Net Vessel Segmentor for Retinal Vasculature Detection in Fundus Images. Electronics, 12(8), Artikel 1786. https://doi.org/10.3390/electronics12081786
Isasa, C., Abou El Wafa, N., Gomes, C., Larsen, P. G. & Platzer, A. (2026). Safe Temperature Regulation: Formally Verified and Real-World Validated. I F. Damiani & M. Farrell (red.), Integrated Formal Methods - 20th International Conference, iFM 2025, Proceedings (s. 143-161). Springer. https://doi.org/10.1007/978-3-032-10794-7_8
Iraji, M., Dehghani, M., Mohammadi, M., Vafamand, N. & Boudjadar, J. (2021). Motor Current Signature Analysis Using Shapelet. I H. Selvaraj, G. Chmaj & D. Zydek (red.), Proceedings of the 27th International Conference on Systems Engineering, ICSEng 2020 (s. 23-33). Springer. https://doi.org/10.1007/978-3-030-65796-3_3
Iqbal, S., Khan, T. M., Naveed, K., Naqvi, S. S. & Nawaz, S. J. (2022). Recent trends and advances in fundus image analysis: A review. Computers in Biology and Medicine, 151, Artikel 106277. https://doi.org/10.1016/j.compbiomed.2022.106277
Iqbal, S., Naveed, K., Naqvi, S. S., Naveed, A. & Khan, T. M. (2023). Robust retinal blood vessel segmentation using a patch-based statistical adaptive multi-scale line detector. Digital Signal Processing: A Review Journal, 139, Artikel 104075. https://doi.org/10.1016/j.dsp.2023.104075
Iosifidis, A. & Tefas, A. (2022). Introduction. I A. Iosifidis & A. Tefas (red.), Deep Learning for Robot Perception and Cognition Elsevier. https://doi.org/10.1016/B978-0-32-385787-1.00006-3
Inci, E. O., Croes, J., Desmet, W., Gomes, C., Thule, C., Lausdahl, K. & Larsen, P. G. (2021). The Effect and Selection of Solution Sequence in Co-Simulation. I C. R. Martin, M. J. Blas & A. I. Psijas (red.), 2021 Annual Modeling and Simulation Conference (ANNSIM) (s. 1-12). IEEE. https://doi.org/10.23919/ANNSIM52504.2021.9552130
Inci, E. O., Desmet, W., Gomes, C. & Croes, J. (2023). Error Estimators for Adaptive Scheduling Algorithm for Serial Co-Simulation. I M. J. Blas & G. Alvarez (red.), 2023 Annual Modeling and Simulation Conference (ANNSIM) (s. 73-83). IEEE. https://ieeexplore.ieee.org/document/10155365
Imanberdiyev, N. & Kayacan, E. (2020). Redundancy Resolution based Trajectory Generation for Dual-Arm Aerial Manipulators via Online Model Predictive Control. I Proceedings - IECON 2020: 46th Annual Conference of the IEEE Industrial Electronics Society (s. 674-681). Artikel 9254702 IEEE. https://doi.org/10.1109/IECON43393.2020.9254702