Institut for Elektro- og Computerteknologi

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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Bari, A., Fatima & Abro, G. E. M. (2026). Improving Pneumonia Segmentation via a Two-Stage Data-Centric Learning Framework. I 2026 IEEE 16th Symposium on Computer Applications & Industrial Electronics (ISCAIE) IEEE. https://doi.org/10.1109/ISCAIE68866.2026.11576321
Wewer, C. R. & Iosifidis, A. (2023). Improving Online non-destructive Moisture Content Estimation using Data Augmentation by Feature Space Interpolation with Variational Autoencoders. I 2023 IEEE 21st International Conference on Industrial Informatics (INDIN) IEEE. https://doi.org/10.1109/INDIN51400.2023.10218063
Wewer, C. R. (2024). Improving Filter Insert Performance and Quality using Data Analytics. [Ph.d.-afhandling, Aarhus Universitet].
Vassis, S., Todnem, L., Straadt, D., Pedersen, C. F., Noeldeke, B., Resnick, C. M., Glerup, M., Pedersen, T. K., Pauwels, R. & Stoustrup, P. (2025). Improving early detection of temporomandibular joint involvement in juvenile idiopathic arthritis with a clinically interpretable machine learning model. Scientific Reports, 15(1), Artikel 39120. https://doi.org/10.1038/s41598-025-25988-0
Khawaja, W., Marcano, N. J. H. & Jacobsen, R. H. (2026). Improvement of DVB-S2/S2X Performance Using External Synchronization. I 2026 IEEE International Conference on Communications Workshops, ICC Workshops 2026 - Proceedings IEEE. https://doi.org/10.1109/ICCWorkshops63917.2026.11586452
Rasooli Berardehi, Z., Zhang , C., Taheri, M., Roohi, M. & Khooban, M. H. (2023). Implementation of T-S fuzzy approach for the synchronization and stabilization of non-integer-order complex systems with input saturation at a guaranteed cost. Transactions of the Institute of Measurement and Control, 45(13), 2536-2553. https://doi.org/10.1177/01423312231155273
Oda, T., Dur, G., Ducasse, S. & Macedo, H. D. (2023). Implementation-First Approach of Developing Formal Semantics of a Simulation Language in VDM-SL.
Gao, H., Chen, X., Cheng, H. V., Nielsen, J. Ø., Amani, N., Chen, H. & Wymeersch, H. (2026). Implementation and Validation of An Automated Experimental Platform for Vector Network Analysis Based on Software Defined Radio. IEEE Transactions on Instrumentation and Measurement, 75, Artikel 8006317. https://doi.org/10.1109/TIM.2026.3714626
Villa-Henriksen, A. (2021). Implementation and applications of harvest fleet route planning. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet. https://doi.org/10.7146/aul.434
Jeppesen, T. D., Jedrzejczyk, J. H., Vingborg, A. L., Hansen, A. D. S., Skov, S. N., Benhassen, L. L., Michael Hasenkam, J. & Johansen, P. (2026). Impact of Tissue Freezing on the Functional and Biomechanical Characteristics of Porcine Aortic Roots. Cardiovascular Engineering and Technology, 17(4), 476-488. https://doi.org/10.1007/s13239-026-00833-1
Andreas Balle Rubak, J., Naveed, K., Jain, S., Esterle, L., Iosifidis, A. & Pauwels, R. (2026). Impact of labelling inaccuracy and image noise on tooth segmentation in panoramic radiographs using federated, centralized, and local learning. Dento maxillo facial radiology, 55(4), 336-353. https://doi.org/10.1093/dmfr/twag001
Rubak, J. A. B., Naveed, K., Jain, S., Esterle, L., Iosifidis, A. & Pauwels, R. (2025). Impact of Labeling Inaccuracy and Image Noise on Tooth Segmentation in Panoramic Radiographs using Federated, Centralized and Local Learning. ArXiv. https://doi.org/10.48550/arXiv.2509.06553
Asif, M. R., Rafiei, M., Jørgensen, R. N., Nørremark, M. & Teimouri, N. (2026). Impact of inter-seasonal climate variation on crop classification with deep learning and Sentinel-1 data in Denmark. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 19, 21880-21893. https://doi.org/10.1109/JSTARS.2026.3704500, https://doi.org/10.1109/JSTARS.2026.3704500
Zattoni, M., Bontempi, L., Ringgaard, S., Luraghi, G., Benhassen, L. L., Johansen, P. & Colombo, M. (2026). In silico modelling of aortic annuloplasty: hemodynamic assessment through in vitro experiments and in vivo MRI. Computer Methods and Programs in Biomedicine, 277, Artikel 109246. https://doi.org/10.1016/j.cmpb.2026.109246
Ong, S. Q., Lim, M. H., Bjerge, K., Peris-Felipo, F. J., Lind, R. & Høye, T. T. (2026). InsectRoleVision: A computer vision system to study arthropod diversity and functional roles. Ecological Informatics, 95, Artikel 103701. https://doi.org/10.1016/j.ecoinf.2026.103701
Andresen, B., Jassmann, U., Dreyer, T., Santjer , F., Quistorf, G. & Zuga, A. (2024). IEC 61400-21-4: Measurement and assessment of electrical characteristics: A standardized way to perform grid compliance test & measurements at component and subsystem level for wind turbines. I IEC 61400-21-4: Measurement and assessment of electrical characteristics : A standardized way to perform grid compliance test & measurements at component and subsystem level for wind turbines
Sartaj, H., Boudjadar, J., Frasheri, M., Ali, S. & Larsen, P. G. (2026). Identifying Uncertainty in Self-Adaptive Robotics With Large Language Models. IEEE Software, 43(1), 89-97. https://doi.org/10.1109/MS.2025.3620578
Asif, M. R., Kass, A., Larsen, J. J. & Christiansen, A. V. (2025). Identifying Induced Polarization Effects in TEM Data by Deep Learning. I 7th Asia Pacific Meeting on Near Surface Geoscience and Engineering, NSGE 2025 (s. 1-5). European Association of Geoscientists and Engineers, EAGE. https://doi.org/10.3997/2214-4609.202572056
Asif, M. R., Kass, A., Larsen, J. J. & Christiansen, A. V. (2024). Identification of Induced Polarization affected Transient Electromagnetic Data by Deep Learning. Poster-session præsenteret på AGU Fall meeting 2024, Washington DC, USA. https://ui.adsabs.harvard.edu/abs/2024AGUFMNS23B1231A/abstract
Cielecki, P. P., Hardenberg, M., Amariei, G., Henriksen, M. L., Hinge, M. & Klarskov, P. (2023). Identification of black plastics with terahertz time-domain spectroscopy and machine learning. Scientific Reports, 13(1), Artikel 22399. https://doi.org/10.1038/s41598-023-49765-z
Oshnoei, S., Heidari, J., Mahboubi-Moghaddam, E., Gheisarnejad, M. & Khooban, M. H. (2025). Identification and Mitigation of Data Integrity Stealth Attacks in Frequency Regulation of Power Systems. IEEE Transactions on Information Forensics and Security, 20, 6133-6148. https://doi.org/10.1109/TIFS.2025.3578922
Bontempi, L., Zattoni, M., Ramella, A., Migliavacca, F., Ringgaard, S., Kim, W. Y., Johansen, P. & Colombo, M. (2025). Idealized aortic annuloplasty FSI digital twin of 3D-printed phantoms with 4D-flow MRI comparison. Computers in Biology and Medicine, 192, Artikel 110398. https://doi.org/10.1016/j.compbiomed.2025.110398
Hansen, J. P., Jespersen, L. M., Brunori, G., Jensen, A. L., Holst, K., Mathiesen, C., Halberg, N. & Rasmussen, I. A. (2014). ICT and social media as drivers of multi-actor innovation in agriculture. I World Conference on Computers in Agriculture, San Jose, Costa Rica, 2014 https://journals.sfu.ca/cigrp/index.php/Proc/article/view/162/161
Oudshoorn, F. W., Bartzanas, T., Holden, N., Järvinen, M., Jensen, A. L., Lauwers , L., Vandaele, L., Guckt, T. V. D., Van Nuffel, A., Saeys, W. & Grøn Sørensen, C. (2014). ICT-AGRI Call 2 Mid-term Project Report: SILF: Smart Integrated Livestock Farming. https://pureportal.ilvo.be/en/publications/ict-agri-call-2-mid-term-project-report-silf-smart-integrated-liv
Passalis, N., Iosifidis, A., Gabbouj, M. & Tefas, A. (2021). Hypersphere-Based Weight Imprinting for Few-Shot Learning on Embedded Devices. IEEE Transactions on Neural Networks and Learning Systems, 32(2), 925-930. https://doi.org/10.1109/TNNLS.2020.2979745
Dinh, T. V., Duong, M. Q., Tran, V. T., Ma, P. K., Le, C. Q., Vo, V. P., Kies, A. & Schyska, B. (2026). Hybrid renewable energy and smart transmission: Vietnamese approach and case studies. I Coresource 4 (s. 271-319). Institution of Engineering and Technology.
Gheisarnejad Chirani, M., Mosayebi, M., Rafiei Foroushani, M., Boudjadar, J. & Khooban, M. H. (2023). Hybrid Power Systems for Smart Marine Power Grids: Demonstration and Case Study. I Electric Transportation Systems in Smart Power Grids (s. 473-492). CRC Press. https://doi.org/10.1201/9781003293989
Sharifzadeh, M., Fathollahi, A., Oshnoei, S., Gheisarnejad, M., Laurendeau, E. & Al-Haddad, K. (2025). Hybrid MPC-SHE Technique for Capacitor Voltage Balancing in Single DC-Source Three-Phase Modified PUC Inverter. I 2025 IEEE Energy Conversion Conference Congress and Exposition, ECCE 2025 IEEE. https://doi.org/10.1109/ECCE58356.2025.11259955
Abbiati, G., Baş, E. E., Gomes, C. & Larsen, P. G. (2023). Hybrid fire testing using FMI-based co-simulation. Fire Safety Journal, 139, Artikel 103832. https://doi.org/10.1016/j.firesaf.2023.103832
Khawaja, W. & Jacobsen, R. H. (2026). Hybrid Digital Twin Framework for DVB-S2/S2X with Reward-Based Adaptive MODCOD. I 2026 IEEE International Conference on Communications Workshops, ICC Workshops 2026 - Proceedings IEEE. https://doi.org/10.1109/ICCWorkshops63917.2026.11586727
Morsing, L. H., Heidari, N. & Iosifidis, A. (2022). Human Activity Recognition. I A. Iosifidis & A. Tefas (red.), Deep Learning for Robot Perception and Cognition (s. 341-370). Elsevier. https://doi.org/10.1016/B978-0-32-385787-1.00019-1
Larsen, P. G., Macedo, H. D., Fitzgerald, J., Pfeifer, H., Benedikt, M., Tonetta, S., Marguglio, A., Veneziano, G., Sutton, L., Gusmeroli, S. & Suciu, G. (2022). HUBCAP: A Novel Collaborative Approach to Model-Based Design of Cyber-Physical Systems. I M. S. Obaidat, T. Oren & F. D. Rango (red.), Simulation and Modeling Methodologies, Technologies and Applications. SIMULTECH 2020 (s. 90-110). Springer. https://doi.org/10.1007/978-3-030-84811-8_5
Tran, D. T., Kanniainen, J. & Iosifidis, A. (2021). How informative is the Order Book Beyond the Best Levels? Machine Learning Perspective. Afhandling præsenteret på NeurIPS 2021 Workshop on Machine Learning meets Econometrics. https://doi.org/10.2139/ssrn.3920827
Kamari, A. & Schultz, C. P. L. (2023). How can LCA inform early-stage design to meet Danish regulations? The sustainability opportunity metric. I E. Hjelseth, S. F. Sujan & R. J Scherer (red.), ECPPM 2022 - eWork and eBusiness in Architecture, Engineering and Construction 2022: Proceedings of the 14th European Conference on Product and Process Modelling (ECPPM 2022), September 14-16, 2022, Trondheim, Norway (s. 27-34). CRC Press. https://doi.org/10.1201/9781003354222-4
Musaeus, C. S., Viana, P. F., Cook, M., Duun-Henriksen, J., Beniczky, S., Kidmose, P., Vanrumste, B., Filtjens, B. & Kjaer, T. W. (2025). Home-Based sensing of the nervous system with clinical neurophysiology technologies: IFCN handbook chapter. Clinical Neurophysiology Practice, 10, 453-463. https://doi.org/10.1016/j.cnp.2025.09.003
Maalandish, M., Hosseini, S. H., Sabahi, M., Rostami, N. & Khooban, M. H. (2023). High step-up multi input–multi output DC–DC converter with high controllability for battery charger/EV applications. IET Power Electronics, 16(15), 2606-2623. https://doi.org/10.1049/pel2.12587
Radmanesh, H., Maalandish, M., Pourjafar, S. & Khooban, M. H. (2023). High step-up MIMO DC–DC power converter control-based pole placement. International Journal of Circuit Theory and Applications, 51(3), 1313-1331. https://doi.org/10.1002/cta.3469
Alilou, S. M., Maalandish, M., Samadian, A., Abolhassani, P., Hosseini, S. H. & Khooban, M. H. (2025). High Step-up DC-DC Converter Using Voltage Lift Techniques for Renewable Applications. CSEE Journal of Power and Energy Systems, 11(2), 739-749. https://doi.org/10.17775/CSEEJPES.2022.02910
Kristensen, E. R., de la Cour, J. D., Warburg, T., Eriksen, R. L., Jørgensen, B., Avery, J. E. & Hinge, M. (2025). High-speed processing of hyperspectral images for enabling demanding industrial applications. Chemometrics and Intelligent Laboratory Systems, 267, Artikel 105531. https://doi.org/10.1016/j.chemolab.2025.105531
Teimouri, A., Fathollahi, A., Raeiszadeh, M., Rezaei, M. & Mosavi, A. (2026). High-Speed Fault Detection and Location Approach for Multilevel Inverters Using Deep Learning and Reliability Evaluation. IEEE Open Journal of the Industrial Electronics Society, 7, 291-312. https://doi.org/10.1109/OJIES.2026.3651309
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
Sun, G., Karras, P. & Zhang, Q. (2025). Highly Efficient Direct Analytics on Semantic-Aware Time Series Data Compression. I M. Valenti, D. Reed & M. Torres (red.), ICC 2025 - IEEE International Conference on Communications (s. 5945-5950). IEEE. https://doi.org/10.1109/ICC52391.2025.11162086
Monemi, M., Rasti, M., Ali Mousavi, S., Latva-Aho, M. & Haenggi, M. (2026). Higher-Order Meta Distribution Reliability Analysis of Wireless Networks. IEEE Transactions on Wireless Communications, 25, 9672-9686. https://doi.org/10.1109/TWC.2025.3644807
Ahler, L. C., Ulsig, E. Z., Stanton, E. J., Godoy, P. H., Stanton, M. A., Weight, S. K., Leger, A. Z., Nader, N., Degli Eredi, I., Hamel, D. R., Mirin, R. P. & Volet, N. (2025). High-Efficiency InGaP-on-Silicon Frequency Downconversion for Quantum Communication Applications at 1550 nm. I 2025 IEEE Silicon Photonics Conference, SiPhotonics 2025 - Proceedings (s. 1-2). IEEE. https://doi.org/10.1109/SiPhotonics64386.2025.10985391
Heidari, J., Peykarporsan, R., Oshnoei, S., Lie, T. T., Vandevelde, L. & Crevecoeur, G. (2026). Hierarchical switch fault diagnosis based on transformer algorithm in four-leg inverters of stand-alone wind energy conversion systems. International Journal of Electrical Power and Energy Systems, 175, Artikel 111607. https://doi.org/10.1016/j.ijepes.2026.111607
Vijayalakshmi, M., Wang, R., Raghava Reddy, K., Reddy, C. V., Bandaru, N., Dudem, B., Shim, J. & Aminabhavi, T. M. (2025). Hierarchical g-C3N4-nanosheet-covered nickel cobalt vanadate hydroxide porous fibrous array hybrid electrodes for high performance asymmetric supercapacitors. Chemical Engineering Journal, 512, Artikel 162043. https://doi.org/10.1016/j.cej.2025.162043
Bjerge, K., Geissmann, Q., Alison, J., Mann, H. M. R., Høye, T. T., Dyrmann, M. & Karstoft, H. (2023). Hierarchical Classification of Insects with Multitask Learning and Anomaly Detection. bioRxiv. https://doi.org/10.1101/2023.06.29.546989
Bjerge, K., Geissmann, Q., Alison, J., Mann, H. M. R., Høye, T. T., Dyrmann, M. & Karstoft, H. (2023). Hierarchical classification of insects with multitask learning and anomaly detection. Ecological Informatics, 77, Artikel 102278. https://doi.org/10.1016/j.ecoinf.2023.102278
Wagner, S. R. (2020). HEUCOD draft recommendation.
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

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