Publications at Department of Electrical and Computer Engineering

Under publication list you can find a complete list of the publications that are written by employees at the Publications at Department of Electrical and Computer Engineering.

Publication list

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Kazemi, Z., Yildiz, E. & Larsen, P. G. (2024). Enabling Flexible Manufactuirng in Wind Industry Based on Movable Factory Concept: Definitions, Requirements, and Challenges. In 2024 IEEE International Conference on Industrial Technology (ICIT) Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIT58233.2024.10540826

Fathollahi, A. & Andresen, B. (2024). Enhancing Transient Stability in Multi-Machine Power Systems through a Model-Free Fractional-Order Excitation Stabilizer. Fractal and Fractional, 8(7), Article 419. https://doi.org/10.3390/fractalfract8070419

Vahdanjoo, M., Gislum, R. & Grøn Sørensen, C. (2024). Estimating Fuel Consumption of an Agricultural Robot by Applying Machine Learning Techniques during Seeding Operation. AgriEngineering, 6(1), 754-772. https://doi.org/10.3390/agriengineering6010043

Lakshminarayanan, S., Duecker, D., Sarabakha, A., Ganguly, A., Takayama, L. & Haddadin, S. (2024). Estimation of External Force acting on Underwater Robots. In 2024 IEEE 20th International Conference on Automation Science and Engineering, CASE 2024 (pp. 3125-3131). IEEE. https://doi.org/10.1109/CASE59546.2024.10711608

Lebiecka-Johansen, P., Cabrera, A. F., Strøm, J., Mikkelsen, K., Elsborg Madsen, R., Dyhr Thomsen, M., Hansen, M., Engelhard Christensen, J., Hemmsen, M. & Kidmose, P. (2024). Evaluation of Ear-EEG based Automatic Sleep Staging Performance. Journal of Sleep Research, 33(S1), Article e14291. https://doi.org/10.1111/jsr.14291

Chen, G., Kobek-Kjeldager, C., Jensen, L. D., Kristensen, J. K., Kaiser, M., Thodberg, K., Zhang, G., Rong, L., Herskin, M. S. & Foldager, L. (2024). Experimental study on temperature difference between the interior and exterior of the vehicle transporting weaner pigs. Biosystems Engineering, 247, 119-131. https://doi.org/10.1016/j.biosystemseng.2024.09.001

Bandaru, N., Reddy, C. V., Vallabhudasu, K., Vijayalakshmi, M., Raghava Reddy, K., Cheolho, B., Shim, J. & Aminabhavi, T. M. (2024). Exploring the potential of MXene nanohybrids as high-performance anode materials for lithium-ion batteries. Chemical Engineering Journal, 500, Article 157317. https://doi.org/10.1016/j.cej.2024.157317

Vang, M. Ø., Grombacher, D., Larsen, J. J. & Christiansen, A. V. (2024). Extrapolating sparse SNMR data sets onto dense TEM coverage using spatially variable correlations. Abstract from AGU Fall meeting 2024, Washington DC, United States.

Liu, H., Yang, Y., Wu, Q., He, B., Liao, Y. & Zhou, P. (2024). FacGNN: Multi-faceted Fairness Enhancement for GNN through Adversarial and Contrastive Learning. In 2024 International Joint Conference on Neural Networks (IJCNN) IEEE. https://doi.org/10.1109/IJCNN60899.2024.10649939

Banhazi, T., Banhazi, A., Tikasz, I. E., Palotay, S., Mallimger, K., Neubauer, T., Corpaci, L., Marchaim, U., Kopler, I., Opalinski, S., Olejnik, K., Kokin, E., Gunnarsson, S., Bjerre, T. & Soerensen, C. (2024). Facilitating PLF Technology Adoption in the Pig and Poultry Industries. Studies in Agricultural Economics, 126(1), 43-49. https://doi.org/10.7896/j.2725

Larsen, J. J., Kass, M. A., Grombacher, D. & Griffiths, M. P. (2024). Feasibility of Surface Nuclear Magnetic Resonance With Absurdly Long Excitation Pulses. Geophysical Research Letters, 51(20), Article e2024GL110826. https://doi.org/10.1029/2024GL110826

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

Ding, Y., Zhang, S., Fan, B., Sun, W., Liao, Y. & Zhou, P. Y. (2024). FedLoCA: Low-Rank Coordinated Adaptation with Knowledge Decoupling for Federated Recommendations. In RecSys '24: Proceedings of the 18th ACM Conference on Recommender Systems (pp. 690-700). Association for Computing Machinery. https://doi.org/10.1145/3640457.3688112

Bjerge, K., Bodesheim, P. & Karstoft, H. (2024). Few-Shot Learning with Novelty Detection. 340-363. Paper presented at DeLTA 2024 - 5th International Conference on Deep Learning Theory and Applications. https://doi.org/10.1007/978-3-031-66694-0_21

Domini, D., Aguzzi, G., Esterle, L. & Viroli, M. (2024). Field-Based Coordination for Federated Learning. In I. Castellani & F. Tiezzi (Eds.), Coordination Models and Languages - 26th IFIP WG 6.1 International Conference, COORDINATION 2024, Held as Part of the 19th International Federated Conference on Distributed Computing Techniques, DisCoTec 2024, Proceedings (pp. 56-74). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-62697-5_4

Sahana, G., Gebreyesus, G., Cheruiyot Bett , R., Kinyua, J., Roos, N., MBI Tanga, C., Mwikirize, C., Akol, R., Khamis, F. M., Karstoft, H., Bjerge, K., Nkirote Kunyanga , C., Hansen, L. S., Nielsen, H. M., Lund, M. S., Geoffrey, S., Walusimbi, S. & Nakimbugwe, D. (2024). FLYgene: Advancing Sustainable Breeding Programs and Genomic Tools for Black Soldier Fly (Hermetia illucens) in Kenya and Uganda. In Book of Abstracts of the 75th Annual Meeting of the European Federation of Animal Science (pp. 633-633) https://docs.eaap.org/boa/2024_Florence_EAAP_Book_Abstracts.pdf

Gomes, C., Oakes, B. J., Fitzgerald, J. & Larsen, P. G. (2024). Foundational Concepts for Digital Twins of Cyber-Physical Systems. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 45-63). Springer. https://doi.org/10.1007/978-3-031-66719-0_3

Larsen, P. G., Fitzgerald, J., Gomes, C., Woodcock, J., Basagiannis, S., Ulisse, A., Esterle, L., Lucani Rötter, D. E., Hansen, S. T. & Oakes, B. J. (2024). Future Directions and Challenges. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 363-386). Springer. https://doi.org/10.1007/978-3-031-66719-0_15

Vindbjerg, L. K. & Esterle, L. (2024). Generative Models for Temporal-based Task Definition. 109-114. Paper presented at 5th IEEE International Conference on Autonomic Computing and Self-Organizing Systems. https://doi.org/10.1109/ACSOS-C63493.2024.00040

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

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

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

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), Article e2024GL112094. https://doi.org/10.1029/2024GL112094

Jiang, X., Ma, Z., Fu, Y., Liao, Y. & Zhou, P. (2024). Heterogeneity-Aware Federated Deep Multi-View Clustering towards Diverse Feature Representations. In MM 2024 - Proceedings of the 32nd ACM International Conference on Multimedia (pp. 9184-9193). Association for Computing Machinery. https://doi.org/10.1145/3664647.3681302

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. In NSG 2024 30th European Meeting of Environmental and Engineering Geophysics (pp. 1-5). European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.202420111

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 presented at AGU Fall meeting 2024, Washington DC, United States. https://ui.adsabs.harvard.edu/abs/2024AGUFMNS23B1231A/abstract

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. In 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

Wewer, C. R. (2024). Improving Filter Insert Performance and Quality using Data Analytics. [PhD thesis, Aarhus University].

Asiminari, G., Moysiadis, V., Kateris, D., Busato, P., Wu, C., Achillas, C., Sørensen, C. G., Pearson, S. & Bochtis, D. (2024). Integrated Route-Planning System for Agricultural Robots. AgriEngineering, 6(1), 657-677. https://doi.org/10.3390/agriengineering6010039

Bano, F., Rizwan, A., Serbaya, S. H., Hasan, F., Karavas, C. S. & Fotis, G. (2024). Integrating Microgrids into Engineering Education: Modeling and Analysis for Voltage Stability in Modern Power Systems. Energies, 17(19), Article 4865. https://doi.org/10.3390/en17194865

Gil Arboleda, S., Schou, C., Mikkelsen, P. H. & Larsen, P. G. (2024). Integrating Skills into Digital Twins in Cooperative Systems. In 2024 IEEE/SICE International Symposium on System Integration (SII) (pp. 1124-1131). IEEE. https://doi.org/10.1109/SII58957.2024.10417610

Fathollahi, A. (2024). Intelligent Control Framework for Improving Energy System Stability Through Deep Learning-Based Modal Optimization Scheme. Sustainability (Switzerland), 16(21), Article 9392. https://doi.org/10.3390/su16219392

Meskin, M., Starkey, P. A., Kaspersen, A. E., Ringgaard, S., Sand, S. G., Nygaard, J. V., Jensen, J. A., Traberg, M. S. & Johansen, P. (2024). Investigating the importance of left atrial compliance on fluid dynamics in a novel mock circulatory loop. Scientific Reports, 14(1), 1864. Article 1864. https://doi.org/10.1038/s41598-024-52327-6

Nazari, M., Korshøj, A. R. & Rehman, N. U. (2024). Jump Plus AM-FM Mode Decomposition. Cornell University. https://doi.org/10.48550/arXiv.2407.07800

Marinoudi, V., Benos, L., Villa, C. C., Kateris, D., Berruto, R., Pearson, S., Sørensen, C. G. & Bochtis, D. (2024). Large language models impact on agricultural workforce dynamics: Opportunity or risk? Smart Agricultural Technology, 9, Article 100677. https://doi.org/10.1016/j.atech.2024.100677

Marandi, A., Alves, P. G. M. R., Aranha, D. F. & Jacobsen, R. H. (2024). Lattice-based Homomorphic Encryption for Privacy-Preserving Smart Meter Data Analytics. The Computer Journal, 67(5), 1687-1698. https://doi.org/10.1093/comjnl/bxad093

de la Cour, J. D., Johnsen, C.-J. & Avery, J. E. (2024). Lockstep-Parallel Dualization of Surface Triangulations. In PASC '24: Proceedings of the Platform for Advanced Scientific Computing Conference Article 9 Association for Computing Machinery. https://doi.org/10.1145/3659914.3659923

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

Kumar, R. R., Hänsel, A., Castera, P., Volet, N. & Heck, M. J. R. (2024). Low-kappa DBR grating filters on an InP generic photonic integration foundry platform. Journal of the Optical Society of America B: Optical Physics, 41(4), 1054-1059. https://doi.org/10.1364/JOSAB.518800

Jensen, R. I. T. (2024). Machine Learning for Anti-money Laundering. [PhD thesis, Aarhus University]. Aarhus University.

Esterle, L., Montagna, S., Pianini, D., Aguzzi, G., Bellman, K. L., Ciatto, G., Contoli, C., Donati, M., Mariani, S., Rahmani, A., Savaglio, C., Storti, E., TaheriNejad, N., van der Sluis, O. & Wang, Z. (2024). MADTECC 2024: 1st Workshop on Medical Applications with Digital Twins and Edge-cloud Continuum - Welcome and Committees. In 2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) (pp. 30-31). IEEE. https://doi.org/10.1109/PerComWorkshops59983.2024.10502899

Magris, M., Shabani, M. & Iosifidis, A. (2024). Manifold Gaussian Variational Bayes on the Precision Matrix. Neural Computation, 36(9), 1744-1798. https://doi.org/10.1162/neco_a_01686

Dobbs, A. M., Goldsmith, A. S., Ginn, D., Skovsen, S. K., Bagavathiannan, M. V., Mirsky, S. B., Reberg-Horton, C. S. & Leon, R. G. (2024). Mapping predicted biomass in cereal rye using 3D imaging and geostatistics. Weed Science, 72(5), 553-561. https://doi.org/10.1017/wsc.2024.62

Nørremark, M., Kristensen, E. F., Jensen, M., Ottosen, C.-O., Petridis, A., Mendanha dos Santos, T., Melander, B. & Jensen, P. K. (2024). Miljøpositivliste for producentorganisationers driftsfonde til støtteberettigede teknologier til frugt- og grøntsagssektoren 2024. DCA - Nationalt Center for Fødevarer og Jordbrug. Rådgivningsrapport fra DCA - Nationalt Center for Fødevarer og Jordbrug

Aubard, M., Quijano, S., Alvarez Tunon, O., Antal, L. & Brodskiy, Y. (2024). Mission Planning and Safety Assessment for Pipeline Inspection Using Autonomous Underwater Vehicles: A Framework based on Behavior Trees. In OCEANS 2024 - Singapore IEEE. https://doi.org/10.1109/OCEANS51537.2024.10682385

Oshnoei, S., Aghamohammadi, M. R. & Khooban, M. H. (2024). Model-Free Predictive Frequency Control Under Sensor and Actuator FDI Attacks. IEEE Transactions on Circuits and Systems II: Express Briefs, 71(4), 2434-2438. https://doi.org/10.1109/TCSII.2023.3339545

Abbiati, G., Gomes, C., Sandberg, M., Kazemi, Z., Hansen, S. T. & Larsen, P. G. (2024). Modelling for Digital Twins. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 89-127). Springer. https://doi.org/10.1007/978-3-031-66719-0_5

Alvarez Tunon, O., Brodskiy, Y. & Kayacan, E. (2024). Monocular visual simultaneous localization and mapping:(r) evolution from geometry to deep learning-based pipelines. IEEE Transactions on Artificial Intelligence, 5(5), 1990-2010. Article 3321032. https://doi.org/10.1109/TAI.2023.3321032

Nørremark, M. (2024). Muligheder for mere sikker håndtering af kvæg ved teknologisk innovation. DCA - Nationalt Center for Fødevarer og Jordbrug.

Nørremark, M., (2024). Muligheder for miljøeffektberegning af teknologier for pesticidreduktion i relation til økologisk jordbrug, No. 2024-0751020, 4 p., Nov 29, 2024. Rådgivningsnotat fra DCA - Nationalt Center for Fødevarer og Jordbrug

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AU Engineering