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.

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Kusumanchi, P., Keller, S. S. & Davidsen, R. S. (2024). Developments in the design and microfabrication of photovoltaic retinal implants. Micro and Nano Engineering, 25, Article 100289. https://doi.org/10.1016/j.mne.2024.100289

Baş, E. E., Abbiati, G., Gonçalves Gomes, C. Â., Jassmann, U. & Larsen, P. G. (2024). Digitalization of Large-Scale Testing Facilities for the Wind Industry: DIGIT-BENCH Digital Twin. Journal of Physics: Conference Series, 2767(4), Article 042033. https://doi.org/10.1088/1742-6596/2767/4/042033

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. In W. Desmet, B. Pluymers, D. Moens & J. del Fresno Zarza (Eds.), Proceedings of ISMA 2024 - International Conference on Noise and Vibration Engineering and USD 2024 - International Conference on Uncertainty in Structural Dynamics (pp. 4127-4141). KU Leuven, Departement Werktuigkunde.

Antonsen, M. M., Liu, S., Xu, X., Steinbach, E., Chinello, F. & Zhang, Q. (2024). Digital Twin-empowered Model-Mediated Teleoperation using Multimodality Data with Signed Distance Fields. In 2024 IEEE Haptics Symposium, HAPTICS 2024 (pp. 353-359). IEEE. https://doi.org/10.1109/HAPTICS59260.2024.10520841

Betzer, J. S., Boudjadar, J., Frasheri, M. & Talasila, P. (2024). Digital Twin Enabled Runtime Verification for Autonomous Mobile Robots under Uncertainty. (pp. 10-17). ArXiv. https://doi.org/10.1109/DS-RT62209.2024.00012

Tagarakis, A. C., Benos, L., Kyriakarakos, G., Pearson, S., Sørensen, C. G. & Bochtis, D. (2024). Digital Twins in Agriculture and Forestry: A Review. Sensors, 24(10), Article 3117. https://doi.org/10.3390/s24103117

Dideriksen, A. K., Andersen, M. F., Priest, J., Eriksen, N. F., Frandsen, M. T., Melvad, C., Rasmussen, T. F., Nielsen, N. H. K., Strømsnes, C. T., Ahlebæk, M. J., Samsing, S., Larsen, T. B., Don, J., Pedersen, L. A. N., Jacobsen, R. H., Rysgaard, S., Kim, J. M., Bayer, R., Christensen, C. ... Karoff, C. (2024). DISCO-2 – an ambitious earth observing student CubeSat for arctic climate research. Frontiers in Remote Sensing, 5, Article 1474560. https://doi.org/10.3389/frsen.2024.1474560

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

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

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. In K. Larson (Ed.), Proceedings of the 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024 (pp. 5844-5852). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2024/646

Casadei, R., Esterle, L., Gamble, R., Harvey, P. & Wanner, E. F. (2024). Editorial: Understanding and engineering cyber-physical collectives. Frontiers in Robotics and AI, 11, Article 1407421. https://doi.org/10.3389/frobt.2024.1407421

Bettaieb, L., Ajailia, N., Bennedsen, J., Edström, K., Singh, M. N., Lyng, R., Maynard, N., Malmqvist, J. & Byström, F. (2024). Editorial. Proceedings of the International CDIO Conference, IV-V.

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), Article 6547. https://doi.org/10.3390/s24206547

Sergeeva, A., Bech Christensen, C. & Kidmose, P. (2024). Effect of Stimulus Bandwidth on the Auditory Steady-State Response in Scalp- and Ear-EEG. Ear and Hearing, 45(3), 626-635. https://doi.org/10.1097/AUD.0000000000001451

Foldager, L., Thodberg, K., Chen, G., Kristensen, J. K., Jensen, L. D., Kaiser, M., Kobek-Kjeldager, C., Rong, L. & Herskin, M. S. (2024). Effects of deck height during transport of weaners: in-vehicle conditions and clinical indicators. In Book of Abstracts of the 75th Annual Meeting of the European Federation of Animal Science (pp. 487-487). Article Session 38, Poster 12 Wageningen Academic Publishers.

Ulsig, E. Z., Madsen, M. L., Stanton, E. J., Reddy, D. V., Leger, A. Z., Sørensen, S. R., Godoy, P. H., Degli-Eredi, I., Stevens, M. J., Hamel, D. R., Shalm, L. K., Mirin, R. P. & Volet, N. (2024). Efficient and widely tunable mid-infrared sources using GaAs and AlGaAs integrated platforms for second-order frequency conversion. Optics Express, 32(21), 36986-37000. https://doi.org/10.1364/OE.523615

Mousavi, S. A., GhahramanIzadi, Z. & Khooban, M. H. (2024). Empowering talkative power technology in wireless power transfer with machine learning. IET Power Electronics, 17(16), 3083-3092. https://doi.org/10.1049/pel2.12826

Tola, D. (2024). Enabling Digitalization in Modular Robotic Systems Integration. [PhD thesis, Aarhus University]. Aarhus University.

Kakavandi, F. (2024). Enabling Fault Detection in an Industrial Medical Device Assembly Process. [PhD thesis, Aarhus University]. Aarhus University.

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].

Gebreyesus, G., Nawoya, S., Ssemakula, F., Karstoft, H., Bjerge, K., Kunyanga, C. N., Mwikirize, C., Akol, R., Katumba, A., Nakimbugwe, D. & Geissmann, Q. (2024). Innovative phenotyping systems to advance selective breeding in black soldier fly: status from the FlyGene project. Journal of Insects as Food and Feed, 10(Supplement 1 (2024) S1–S353), S250. Article Volume 10, Supplement 1 (2024). https://doi.org/10.1163/23524588-20241013

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

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