Publikationer fra instituttet

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

Publikationsliste

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Jensen, R. I. T. & Iosifidis, A. (2023). Fighting Money Laundering With Statistics and Machine Learning. IEEE Access, 11, 8889-8903. https://doi.org/10.1109/ACCESS.2023.3239549

Jensen, M. H., Rasmussen, M., Mohamad, N., Dyrskog, S. E., Thorup, L., Mikic, N., Wismann, J., Grønhøj, M. H., Rom Poulsen, F., Nazari, M., Rehman, N. U., Simonsen, C. Z. & Korshoej, A. R. (2023). Safety, harm, and efficacy of IRRAflow® versus external ventricular drainage for intraventricular hemorrhage: A randomized clinical trial. medRxiv. https://doi.org/10.1101/2023.07.08.23292286

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. (2024). Do Awareness Campaigns Reduce Financial Fraud? European Journal on Criminal Policy and Research. Advance online publication. 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 University.

Jakobsen, M. O., Herskind, E. S., Pedersen, C. F. & Knudsen, M. B. (2023). Detecting insufficient lubrication in rolling bearings, using a low cost MEMS microphone to measure vibrations. Mechanical Systems and Signal Processing, 200, Artikel 110553. https://doi.org/10.1016/j.ymssp.2023.110553

Jakobsen, M. O. (2024). Low cost MEMS accelerometer and microphone based condition monitoring sensor, with LoRa and Bluetooth Low Energy radio. HardwareX, 18, Artikel e00525. https://doi.org/10.1016/j.ohx.2024.e00525

Jakobsen, M. O. (2024). Detection of Lubrication Conditions in Ball Bearings Using Acoustic Ultrasound Signals. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus University.

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

Jain, S., Naveed, K., Oleksiienko, I., Iosifidis, A. & Pauwels, R. (2025). InJecteD: Analyzing Trajectories and Drift Dynamics in Denoising Diffusion Probabilistic Models for 2D Point Cloud Generation. CEUR Workshop Proceedings, 4072, 91-99.

Jain, S., de Freitas, B. N., Basse-OConnor, A., Iosifidis, A. & Pauwels, R. (2025). PanoDiff-SR: Synthesizing Dental Panoramic Radiographs using Diffusion and Super-resolution.

Jahangir, M. F., Schultz, C. P. L. & Kamari, A. (2024). A review of drivers and barriers of Digital Twin adoption in building project development processes. Journal of Information Technology in Construction, 29, 141-178. https://doi.org/10.36680/j.itcon.2024.008

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

Jahangir, M. F., Kamari, A. & Schultz, C. P. L. (2025). Unified and interoperable digital twin models for emergency evacuation using building simulation identity cards. Automation in Construction, 175, Artikel 106225. https://doi.org/10.1016/j.autcon.2025.106225

Jacobsen, R. H. & Marandi, S. A. (2021). Security Threats Analysis of the Unmanned Aerial Vehicle System. I MILCOM 2021 - 2021 IEEE Military Communications Conference (s. 316-322) https://doi.org/10.1109/MILCOM52596.2021.9652900

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

Iversen, M., Monisha, M. & Agarwala, S. (2022). Flexible, Wearable and Fully-printed Smart Patch for pH and Hydration Sensing in Wounds. International Journal of Bioprinting, 8(1), 41-49. https://doi.org/10.18063/IJB.V8I1.447

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

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

Inceoglu, F., Hernandez Marcano, N. J., Jacobsen, R. H. & Karoff, C. (2020). A General Overview for Localizing Short Gamma-Ray Bursts with a CubeSat Mega-Constellation. Frontiers in Astronomy and Space Sciences, 7(November), Artikel 573060. https://doi.org/10.3389/fspas.2020.573060

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

Imanberdiyev, N., Sood, S., Kircali, D. & Kayacan, E. (2022). Design, development and experimental validation of a lightweight dual-arm aerial manipulator with a COG balancing mechanism. Mechatronics, 82, Artikel 102719. https://doi.org/10.1016/j.mechatronics.2021.102719

Ibrahim, I. A. F. A. H., Bochtis, D., Grøn Sørensen, C. & Nørremark, M. (2010). Automated generation of guidance lines for operational field planning. Biosystems Engineering, 107(4), 294-306. https://doi.org/10.1016/j.biosystemseng.2010.09.001

Hvilshøj, F., Iosifidis, A. & Assent, I. (2021). On Quantitative Evaluations of Counterfactuals. ArXiv. https://doi.org/10.48550/arXiv.2111.00177

Hvilshøj, F., Iosifidis, A. & Assent, I. (2021). ECINN: Efficient Counterfactuals from Invertible Neural Networks. I 32nd British Machine Vision Conference 2021, BMVC 2021, Virtual https://arxiv.org/abs/2103.13701

Huynh, H. A., Zamani, M., Ronchini, M., Farkhani, H. & Moradi, F. (2021). A 53GΩ@DC Input Impedance Multi-Channel Neural Recording Amplifier with 0.77 µVrms Input-Referred Noise for Deep Brain Implants. I 2021 IEEE Custom Integrated Circuits Conference, CICC 2021 - Proceedings Artikel 9431403 IEEE. https://doi.org/10.1109/CICC51472.2021.9431403, https://doi.org/10.1109/CICC51472.2021.9431403

Hurst, A., Zhang, Q., Lucani Rötter, D. E. & Assent, I. (2021). Direct Analytics of Generalized Deduplication Compressed IoT Data. I 2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings IEEE. https://doi.org/10.1109/GLOBECOM46510.2021.9685589

Hurst, A., Lucani Rötter, D. E., Assent, I. & Zhang, Q. (2023). GLEAN: Generalized Deduplication Enabled Approximate Edge Analytics. IEEE Internet of Things Journal, 10(5), 4006-4020. https://doi.org/10.1109/JIOT.2022.3166455

Hurst, A., Lucani Rötter, D. E. & Zhang, Q. (2024). GreedyGD: Enhanced Generalized Deduplication for Direct Analytics in IoT. IEEE Transactions on Industrial Informatics, 20(4), 6954-6962. https://doi.org/10.1109/TII.2024.3353913

Hurst, A., Lucani Rötter, D. E. & Zhang, Q. (2024). PairwiseHist: Fast, Accurate, and Space-Efficient Approximate Query Processing with Data Compression. Proceedings of the VLDB Endowment, 17(6), 1432-1445. https://doi.org/10.14778/3648160.3648181

Hurst, A. (2024). Analytics Directly on Compressed IoT Data. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus University.

Hudson, N., Khamfroush, H. & Lucani Rötter, D. E. (2021). QoS-Aware Placement of Deep Learning Services on the Edge with Multiple Service Implementations. I 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

Hudert, M. M., Elvebakken, M. F., Meagher, M., Mangliar, L., Zhang, X. & Esterle, L. (2022). Deep learning enhanced robotic fabrication of timber-to-timber connections with densified hardwood nails. I Proceedings of the IASS 2022 Symposium affiliated with APCS 2022 conference: Innovation - Sustainability - Legacy (s. 1740-1748)

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

Høye, T. T., Dyrmann, M., Kjær, C., Nielsen, J., Bruus, M., Mielec, C. L., Vesterdal, M. S., Bjerge, K., Madsen, S. A., Jeppesen, M. R. & Melvad, C. (2022). Accurate image-based identification of macroinvertebrate specimens using deep learning — How much training data is needed? PeerJ, 10, Artikel e13837. https://doi.org/10.7717/peerj.13837

Hosseinzadeh, M., Wachal, A., Khamfroush, H. & Lucani Rötter, D. E. (2021). Optimal Accuracy-Time Trade-off For Deep Learning Services in Edge Computing Systems. I 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. I 2022 IEEE Annual Consumer Communications & Networking Conference (CCNC) (s. 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. I 2021 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2021 (s. 254-261). IEEE. https://doi.org/10.1109/DySPAN53946.2021.9677398

Hosseinzadeh, M., Lucani, D. E. & Khamfroush, H. (2025). A Lyapunov-Based Framework for Smart Accuracy Latency Tradeoff in Three-Layer Edge Computing Systems. IEEE Systems Journal, 19(3), 778-789. https://doi.org/10.1109/JSYST.2025.3593363

Hosseini, S., Laursen, K., Rashidi, A., Mondal, T., Corbett, B. & Moradi, F. (2021). S-MRUT: Sectored-Multi Ring Ultrasonic Transducer for Selective Powering of Brain Implants. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 68(1), 191-200. Artikel 9112273. https://doi.org/10.1109/TUFFC.2020.3001084

Horrillo-Quintero, P., Garcia-Trivino, P., Hoseinni, E., Garcia-Vazquez, C. A., Sanchez-Sainz, H., Ugalde-Loo, C. E., Peric, V. & Fernandez-Ramirez, L. M. (2024). Dynamic Fuzzy Logic Energy Management System for a Multi-Energy Microgrid. IEEE Access, 12, 93221-93234. https://doi.org/10.1109/ACCESS.2024.3422009

Honoré, J. T., Rask, R. D. & Wagner, S. R. (2023). Fall Detection Combining Android Accelerometer and Step Counting Virtual Sensors. I G. A. Papadopoulos, A. Achilleos, E. Pissaloux & R. Velázquez (red.), ICT for Health, Accessibility and Wellbeing - 2nd International Conference, IHAW 2022, Revised Selected Papers (s. 3-16). Springer. https://doi.org/10.1007/978-3-031-29548-5_1

Homayounzadeh, M., Homayounzade, M. & Khooban, M. H. (2024). Prescribed-time resilient current-sensorless DC power converter control. IET Power Electronics, 17(14), 2123-2133. https://doi.org/10.1049/pel2.12776

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