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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Homayounzadeh, M. & Rahimi, M. (2025). Assessing voice vs. writing quality Is there any diference? Revista Española de Lingüística Aplicada, 38(1), 312-352. https://doi.org/10.1075/resla.22055.hom

Homayounzade, M., Homayounzadeh, M. & Khooban, M. H. (2023). Robust positive control of tumour growth using angiogenic inhibition. IET Systems Biology, 17(5), 288-301. https://doi.org/10.1049/syb2.12076

Homayoun, S., Haraldsdóttir, M., Lynge, E. & Jensen, C. D. (2024). Effective Noise Reduction in NDR Systems: A Simple Yet Powerful Apriori-Based Approach. Sensors, 24(20), Artikel 6547. https://doi.org/10.3390/s24206547

Holck, E. N., Andreasen, L. N., Hansen, E. K., Thomsen, J. S., Brüel, A., Johansen, P., Christiansen, E. H. & Jakobsen, L. (2025). Complex Treatment of a Coronary Bifurcation Perforation With a Dual-Covered Stent Strategy. JACC: Case Reports, 30(7), Artikel 103382. https://doi.org/10.1016/j.jaccas.2025.103382

Hjelseth, E. & Li, B. (2021). Use of “Reasoner” for automated building code compliance assessment. I Proceedings of the 38th International Conference of CIB W78 (s. 138-147) https://itc.scix.net/pdfs/w78-2021-paper-014.pdf

Hervella, C., Diez, L., Fernández, F., Marcano, N. J. H., Jacobsen, R. H. & Agüero, R. (2022). Realistic Assessment of Transport Protocols Performance over LEO-based Communications. I PE-WASUN '22: Proceedings of the 19th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor & Ubiquitous Networks (s. 91-98). Association for Computing Machinery. https://doi.org/10.1145/3551663.3558680

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

Henriksen, M. L., Karlsen, C. B., Klarskov, P. & Hinge, M. (2022). Plastic classification via in-line hyperspectral camera analysis and unsupervised machine learning. Vibrational Spectroscopy, 118, Artikel 103329. https://doi.org/10.1016/j.vibspec.2021.103329

Henriksen, M. L., Pedersen, W. N., Klarskov, P. & Hinge, M. (2022). One step calibration of industrial hyperspectral cameras. Chemometrics and Intelligent Laboratory Systems, 227, Artikel 104609. https://doi.org/10.1016/j.chemolab.2022.104609

Helmstedt, C., Manouselis , N. M., Martín-Moncunill, D., Protonotarios, V., Sicilia, M.-A., M. Stracke, C., Adamides, G., Aventurier, P., Belsis, P., Beyer, J., Biniari, K., Bouza, D., Ciotoli, F., Engel-Vermette, S., Nicola Ghirad, N. G., Koutoumanos, A., Jensen, A. L., Le Henaff, D., Masselin-Silvin , S. ... Tsiflidou, E. (2020). Opening Up Access to Scientific Information: Recommendations for Improving Virtual Repositories and Online Communities. University Publisher. https://hal.inrae.fr/hal-02806629/document

Heidary, J., Gheisarnejad Chirani, M., Rastegar, H. & Khooban, M. H. (2022). Survey on microgrids frequency regulation: Modeling and control systems. Electric Power Systems Research, 213, Artikel 108719. https://doi.org/10.1016/j.epsr.2022.108719

Heidary, J., Gheisarnejad Chirani, M. & Khooban, M. H. (2023). Stability Enhancement and Energy Management of AC-DC Microgrid based on Active Disturbance Rejection Control. Electric Power Systems Research, 217, Artikel 109105. https://doi.org/10.1016/j.epsr.2022.109105

Heidary, J., Oshnoei, S., Gheisarnejad Chirani, M., Khalghani, M. R. & Khooban, M. H. (2024). Shipboard Microgrid Frequency Control Based on Machine Learning Under Hybrid Cyberattacks. IEEE Transactions on Industrial Electronics, 71(7), 7136-7146. https://doi.org/10.1109/TIE.2023.3303627

Heidari, N. & Iosifidis, A. (2021). Progressive Graph Convolutional Networks for Semi-Supervised Node Classification. IEEE Access, 9, 81957-81968. https://doi.org/10.1109/ACCESS.2021.3085905

Heidari, N. & Iosifidis, A. (2020). Temporal Attention-Augmented Graph Convolutional Network for Efficient Skeleton-Based Human Action Recognition. I Proceedings of ICPR 2020 - 25th International Conference on Pattern Recognition (s. 7907-7914). Artikel 9412091 IEEE. https://doi.org/10.1109/ICPR48806.2021.9412091

Heidari, N. & Iosifidis, A. (2021). Progressive Spatio-Temporal Graph Convolutional Network for Skeleton-Based Human Action Recognition. I ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Bind 2021-June, s. 3220-3224). IEEE. https://doi.org/10.1109/ICASSP39728.2021.9413860

Heidari, N. & Iosifidis, A. (2021). On the spatial attention in spatio-temporal graph convolutional networks for skeleton-based human action recognition. I IJCNN 2021 - International Joint Conference on Neural Networks, Proceedings IEEE. https://doi.org/10.1109/IJCNN52387.2021.9534440

Heidari, N. & Iosifidis, A. (2021). Progressive Spatio-Temporal Bilinear Network with Monte Carlo Dropout for Landmark-based Facial Expression Recognition with Uncertainty Estimation. arxiv.org. https://doi.org/10.48550/arXiv.2106.04332

Heidari, N., Hedegaard Morsing, L. & Iosifidis, A. (2022). Graph convolutional networks. I A. Iosifidis & A. Tefas (red.), Deep Learning for Robot Perception and Cognition (s. 71-99). Elsevier. https://doi.org/10.1016/B978-0-32-385787-1.00009-9

Heidari, N. & Iosifidis, A. (2023). Learning Diversified Feature Representations for Facial Expression Recognition in the Wild. ArXiv. https://doi.org/10.48550/arXiv.2210.09381

Heidari, N. (2022). Representation Learning for Graph-Structured Data Analysis. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.

Hegde, S., Shi, L., Hernandez Marcano, N. J., Shrivastava, R., Blume, O. & Jacobsen, R. H. (2021). Sidelink Group Resource Scheduling for Platoons in Cellular Vehicle-to-Vehicle Communications. I 2021 IEEE 93rd Vehicular Technology Conference, VTC 2021-Spring - Proceedings Artikel 9449009 IEEE. https://doi.org/10.1109/VTC2021-Spring51267.2021.9449009

Hedegaard Morsing, L., Sheikh-Omar, O. A. & Iosifidis, A. (2021). Supervised Domain Adaptation: A Graph Embedding Perspective and a Rectified Experimental Protocol. IEEE Transactions on Image Processing, 30, 8619-8631. https://doi.org/10.1109/TIP.2021.3118978

Hedegaard Morsing, L., Heidari, N. & Iosifidis, A. (2023). Continual Spatio-Temporal Graph Convolutional Networks. Pattern Recognition, 140(C), Artikel 109528. https://doi.org/10.1016/j.patcog.2023.109528

Hedegaard Morsing, L., Alok, A., Jose, J. & Iosifidis, A. (2022). Structured Pruning Adapters. https://doi.org/10.48550/arXiv.2211.10155

Hedegaard Morsing, L. & Iosifidis, A. (2022). Continual 3D Convolutional Neural Networks for Real-time Processing of Videos. I S. Avidan, G. Brostow, M. Cissé, G. M. Farinella & T. Hassner (red.), Computer Vision – ECCV 2022 - 17th European Conference, 2022, Proceedings (s. 369-385). Springer. https://doi.org/10.1007/978-3-031-19772-7_22

Hedegaard Morsing, L., Bakhtiarnia, A. & Iosifidis, A. (2022). Continual Transformers: Redundancy-Free Attention for Online Inference. The Eleventh International Conference on Learning Representations. https://arxiv.org/abs/2201.06268

Hedegaard Morsing, L., Bakhtiarnia, A. & Iosifidis, A. (2023). Continual Transformers: Redundancy-Free Attention for Online Inference. https://openreview.net/forum?id=PolHquob8M7

Hedegaard, L. & Iosifidis, A. (2023). Continual Inference: A Library for Efficient Online Inference with Deep Neural Networks in PyTorch. I L. Karlinsky, T. Michaeli & K. Nishino (red.), Computer Vision – ECCV 2022 Workshops, Proceedings (s. 21-34). Springer. https://doi.org/10.1007/978-3-031-25082-8_2

Hedegaard, L., Alok, A., Jose, J. & Iosifidis, A. (2024). Structured pruning adapters. Pattern Recognition, 156, Artikel 110724. https://doi.org/10.1016/j.patcog.2024.110724

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

H. Bohlbro, C., Macedo, H. D., Tola, D., Esterle, L. & Larsen, P. G. (2024). Visualisation in a Digital Twin Context. I J. Fitzgerald, C. Gomes & P. G. Larsen (red.), The Engineering of Digital Twins (s. 175-188). Springer. https://doi.org/10.1007/978-3-031-66719-0_8

Hassan Hire, J., Agianniotis, N., Kofoed, B. P. & Moradi, F. (2022). Energy Harvesting In Immersed Tunnel For Powering Wireless Sensor Nodes For Corrosion Monitoring. I E E E Sensors Journal, 22(10), 9892-9903. https://doi.org/10.1109/JSEN.2022.3165659

Hassan Hire, J. (2022). Self-powered Embedded Wireless Corrosion Monitoring System. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.

Hassan, A., Bazzi, A. M., Jensen, F. & Karaki, S. H. (2025). Analysis and Comparison of Nonlinear Kalman Filters for Sensorless Induction Motor Drives To Achieve Multiple Model Estimation. IEEE Transactions on Industry Applications, 61(4), 6422-6433. https://doi.org/10.1109/TIA.2025.3546902

Hasanvand , S., Sobhani, H. & Khooban, M. H. (2025). Distribution network clustering for reactive power planning and distributed voltage control. IET Generation, Transmission & Distribution, 19(1), Artikel e70002. https://doi.org/10.1049/gtd2.70002

Hasanvand, S., Sobhani, H., Mardaneh, M. & Khooban, M. H. (2025). Optimal Design of Battery Energy Storage System Controllers for Damping Low-Frequency Oscillations. International Journal of Energy Research, 2025(1), Artikel 2248945. https://doi.org/10.1155/er/2248945

Hasanpour, M. A., Kirkegaard, M. & Fafoutis, X. (2025). EdgeMark: An automation and benchmarking system for embedded artificial intelligence tools. Journal of Systems Architecture, 167, Artikel 103488. https://doi.org/10.1016/j.sysarc.2025.103488

Hardenberg, M., Griffiths, M. P., Grombacher, D. & Larsen, J. J. (2024). Feasibility study of steady-state surface NMR with adiabatic pulses. I NSG2024, 30th European Meeting of Environmental and Engineering Geophysics (s. 1-5). European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.202420051

Hansen, S. T., Thule, C. & Gomes, C. (2021). An FMI-Based Initialization Plugin for INTO-CPS Maestro 2. I L. Cleophas & M. Massink (red.), Software Engineering and Formal Methods: SEFM 2020 Collocated Workshops (s. 295-310). Springer. https://doi.org/10.1007/978-3-030-67220-1_22

Hansen, S. T., Gomes, C., Larsen, P. G. & Van De Pol, J. (2021). Synthesizing Co-Simulation Algorithms with Step Negotiation and Algebraic Loop Handling. I C. R. Martin, M. J. Blas & A. I. Psijas (red.), 2021 Annual Modeling and Simulation Conference (ANNSIM) (s. 62-73). IEEE. https://doi.org/10.23919/ANNSIM52504.2021.9552073

Hansen, S. T., Gomes, C., Palmieri, M., Thule, C., van de Pol, J. & Woodcock, J. (2021). Verification of Co-simulation Algorithms Subject to Algebraic Loops and Adaptive Steps. I A. L. Lafuente & A. Mavridou (red.), Formal Methods for Industrial Critical Systems (s. 3-20). Springer. https://doi.org/10.1007/978-3-030-85248-1_1

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

Hansen, M. J., Kai, P., Nørremark, M., Børsting, C. F., Ottosen, C.-O. & Konnerup, D. (2022). Miljø- og Klimateknologi 2022. DCA - Nationalt Center for Fødevarer og Jordbrug. Rådgivningsrapport fra DCA - Nationalt Center for Fødevarer og Jordbrug

Hansen, S. T., Gomes, C. Â. G., Najafi, M., Sommer, T., Blesken, M., Zacharias, I., Kotte, O., Mai, P. R., Schuch, K., Wernersson, K., Bertsch, C., Blochwitz, T. & Junghanns, A. (2022). The FMI 3.0 Standard Interface for Clocked and Scheduled Simulations. Electronics, 11(21), Artikel 3635. https://doi.org/10.3390/electronics11213635

Hansen, S. T., Thule, C., Gomes, C., van de Pol, J., Palmieri, M., Inci, E. O., Madsen, F., Alfonso, J., Castellanos, J. Á. & Rodriguez, J. M. (2022). Verification and synthesis of co-simulation algorithms subject to algebraic loops and adaptive steps. International Journal on Software Tools for Technology Transfer, 24(6), 999-1024. https://doi.org/10.1007/s10009-022-00686-8

Hansen, J. G., Heiß, M., Kozłowski, M. & Kayacan, E. (2022). UAV Trajectory Evaluation in Large Industrial Environments: A Cost-Effective Solution. I 2022 European Control Conference (ECC) (s. 1336-1341). IEEE. https://doi.org/10.23919/ECC55457.2022.9838352

Hansen, S. T. & Ölveczky, P. C. (2022). Modeling, Algorithm Synthesis, and Instrumentation for Co-simulation in Maude. I K. Bae (red.), Rewriting Logic and Its Applications. WRLA 2022 (s. 130-150). Springer. https://doi.org/10.1007/978-3-031-12441-9_7

Hansen, E. M., Thomsen, I. K., Cronin, I. V., Gislum, R., Larsen, R. & Mortensen, A. K., (2023). Opdatere trappemodel om dækningsgrad af efterafgrøder ved kontrol i forhold til etableringstidspunkt, Nr. 2022-0445946, 18 s., apr. 26, 2023. Rådgivningsnotat fra DCA - Nationalt Center for Fødevarer og Jordbrug

Hansen, S. T., Gomes, C. & Kazemi, Z. (2023). Synthesizing Orchestration Algorithms for FMI 3.0. I M. J. Blas & G. Alvarez (red.), 2023 Annual Modeling and Simulation Conference (ANNSIM) (s. 184-195). IEEE. https://ieeexplore.ieee.org/document/10155361

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