Publikationer fra instituttet

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

Instituttet udgiver også tekniske rapporter, som du kan læse mere om under Tekniske rapporter.

Under ph.d.-afhandlinger finder du instituttets publicerede ph.d.-afhandlinger.

Publikationsliste

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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.

Villa-Henriksen, A. (2021). Implementation and applications of harvest fleet route planning. Århus Universitet.

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

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

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

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

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

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

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

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

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

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, Inc.. https://doi.org/10.1145/3664647.3681302

Nielsen, L. & Lucani Rötter, D. E. (2021). Hekate a tool for gauging Data Deduplication Performance. I Proceedings - 2021 IEEE 6th International Conference on Smart Cloud, SmartCloud 2021 (s. 67-72). IEEE. https://doi.org/10.1109/SmartCloud52277.2021.00019

Laursen, S. R. L., Holm, H. A. & Nielsen, S. H. (2022). Heart rate-based dynamic sound intervention - a pilot study. I Proceedings of the EUROREGIO/BNAM2022 Conference: Joimt Acoustics Conference (s. 473-481). https://www.conforg.fr/erbnam2022/output_directory/data/articles/000032.pdf

Johansen, K. W., Schultz, C. & Teizer, J. (2023). Hazard ontology and 4D benchmark model for facilitation of automated construction safety requirement analysis. Computer-Aided Civil and Infrastructure Engineering, 38(15), 2128-2144. https://doi.org/10.1111/mice.12988

Gaikwad, N. B., Khare, S. K., Satpute, N. & Keskar, A. G. (2022). Hardware Implementation of High-performance Classifiers for Edge Gateway of Smart Automobile. I Proceedings of PCEMS 2022 - 1st International Conference on the Paradigm Shifts in Communication, Embedded Systems, Machine Learning and Signal Processing (s. 74-77). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PCEMS55161.2022.9808049

Sadeghi, M., Rezaeiyan, Y., Fernández Khatiboun, D. & Moradi, F. (2023). Hardware Implementation of a Resource-Efficient Router for Multi-Core Spiking Neural Networks. I ISCAS 2023 - 56th IEEE International Symposium on Circuits and Systems, Proceedings (s. 1-5). IEEE. https://doi.org/10.1109/ISCAS46773.2023.10182040

Gaikwad, N. B., Khare, S. K., Ugale, H., Mendhe, D., Tiwari, V., Bajaj, V. & Keskar, A. G. (2023). Hardware Design and Implementation of Multiagent MLP Regression for the Estimation of Gunshot Direction on IoBT Edge Gateway. IEEE Sensors Journal, 23(13), 14549-14557. https://doi.org/10.1109/JSEN.2023.3278748

Klionsky, D. J., Abeliovich, H., Agostinis, P., Agrawal, D. K., Aliev, G., Askew, D. S., Baba, M., Baehrecke, E. H., Bahr, B. A., Ballabio, A., Bamber, B. A., Bassham, D. C., Bergamini, E., Bi, X., Biard-Piechaczyk, M., Blum, J. S., Bredesen, D. E., Brodsky, J. L., Brumell, J. H. ... Deter, R. L. (2008). Guidelines for the use and interpretation of assays for monitoring autophagy in higher eukaryotes. Autophagy, 4(2), 151-75. https://doi.org/10.4161/auto.5338

Navarro-Guerrero, N., Nguyen, S. M., Oztop, E. & Zhong, J. (2021). Guest Editorial Special Issue on Continual Unsupervised Sensorimotor Learning. IEEE Transactions on Cognitive and Developmental Systems, 13(2), 234-238. https://doi.org/10.1109/TCDS.2021.3082880

Woodcock, J. & Larsen, P. G. (1995). Guest Editorial: Introduction to Special Section. IEEE Transactions on Software Engineering, 21, 61-62. https://doi.org/10.1109/TSE.1995.10000

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

Mantysalo, M., Marrocco, G., Agarwale, S., Grau, G. & Gao, W. (2025). Guest Editorial: Special Issue of Selected Extended Papers From the IEEE International Conference on Flexible, Printable Sensors and Systems (FLEPS) 2024. IEEE Journal on Flexible Electronics, 4(1), 2-3. https://doi.org/10.1109/JFLEX.2025.3556389

Mahmoudi, A., Khezri, R., Bidram, A., Khooban, M., Aki, H., Khalilpour, K., Abdeltawab, H. & Muyeen, S. M. (2023). Guest editorial: Application of cloud energy storage systems in power systems. IET Generation, Transmission and Distribution, 17(8), 1687-1689. https://doi.org/10.1049/gtd2.12770

Griffiths, M. P., Grombacher, D., Mashhadi, S. R. & Larsen, J. J. (2024). Ground-Truth Validation of T₂ Estimates From Steady-State Surface NMR. Geophysical Research Letters, 51(24), Artikel e2024GL112094. https://doi.org/10.1029/2024GL112094

Griffiths, M. P., Grombacher, D., Mashhadi, S. R. & Larsen, J. J. (2024). Ground-truth Validation of T₂ Estimates from Steady-state Surface NMR. Abstract fra AGU Fall meeting 2024, Washington DC, USA.

Bozcan, I., Sejersen, J. L. F., Pham, X. H. & Kayacan, E. (2021). GridNet: Image-Agnostic Conditional Anomaly Detection for Indoor Surveillance. IEEE Robotics and Automation Letters, 6(2), 1638 - 1645. Artikel 9345954. https://doi.org/10.1109/LRA.2021.3057003

Andresen, B., Søgaard, C. T. & Zamastil, M. M. (2023). Grid Code Requirements for Connecting a Hybrid Power Plant: An overview of status and recommendations for future requirements. I 22nd Wind and Solar Integration Workshop (WIW 2023) (s. 22-29). Institution of Engineering and Technology. https://doi.org/10.1049/icp.2023.2714

Jørgensen, U., Kristensen, T., Jørgensen, J. R., Kongsted, A. G., De Notaris, C., Nielsen, C., Mortensen, E. Ø., Ambye-Jensen, M., Jensen, S. K., Stødkilde-Jørgensen, L., Dalsgaard, T. K., Møller, A. H., Grøn Sørensen, C., Asp, T., Lehmann Olsen, F. & Gylling, M. (2021). Green biorefining of grassland biomass. DCA - Nationalt Center for Fødevarer og Jordbrug. DCA rapport Nr. 193 https://dcapub.au.dk/djfpublikation/index.asp?action=show&id=1480

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

Li, N., Iosifidis, A. & Zhang, Q. (2022). Graph Reinforcement Learning-based CNN Inference Offloading in Dynamic Edge Computing. I 2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings (s. 982-987). IEEE. https://doi.org/10.1109/GLOBECOM48099.2022.10001067

Laakom, F., Raitoharju, J., Passalis, N., Iosifidis, A. & Gabbouj, M. (2022). Graph Embedding with Data Uncertainty. IEEE Access, 10, 24232-24239. https://doi.org/10.1109/ACCESS.2022.3155233

Sohrab, F., Iosifidis, A., Gabbouj, M. & Raitoharju, J. (2023). Graph-embedded subspace support vector data description. Pattern Recognition, 133, Artikel 108999. https://doi.org/10.1016/j.patcog.2022.108999

Gautam, C., Tiwari, A., Mishra, P. K., Suresh, S., Iosifidis, A. & Tanveer, M. (2021). Graph-Embedded Multi-Layer Kernel Ridge Regression for One-Class Classification. Cognitive Computation, 13(2), 552-569. https://doi.org/10.1007/s12559-020-09804-7

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

Nazari, M., Korshoej, A. R. & Rehman, N. U. (2024). Graph-Aided Multivariate Signal Decomposition. I International Conference on Frontiers of Signal Processing (ICFSP) (s. 169-173) https://doi.org/10.1109/ICFSP62546.2024.10785500

Shreya, S., Jenkins, A., Rezaeiyan, Y., Li, R., Bohnert, T., Benetti, L., Ferreira, R., Moradi, F. & Farkhani, H. (2023). Granular vortex spin-torque nano oscillator for reservoir computing. Scientific Reports, 13(1), Artikel 16722. https://doi.org/10.1038/s41598-023-43923-z

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Tekniske rapporter

Institut for Elektro- og Computerteknologi udgiver en serie af tekniske rapporter.

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Læs de tekniske rapporter ved at klikke nedenfor:

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Ph.d.-afhandlinger

Ph.d.-afhandinger ved Institut for Elektro- og Computerteknologi udgives gennem Statsbibliotekets/AU library's online E-books platform, hvor der er open access. Du kan finde publicerede afhandlinger ved at følge linket nedenfor.

Ph.d.-afhandlinger ved Institut for Elektro- og Computerteknologi

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