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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Gasso, V., Barber, A., Moller, H., Bayonne, E., Oudshoorn, F. W. & Sørensen, C. G. (2025). Benchmarking for locally tuned sustainability: The case of energy and water use in New Zealand vineyards. Environmental and Sustainability Indicators, 25, Artikel 100536. https://doi.org/10.1016/j.indic.2024.100536

Lebiecka-Johansen, P., Strom, J., Mikkelsen, K. B., Cabrera, A. F., Madsen, R. E., Christensen, J. A. E., Hemmsen, M. C. & Kidmose, P. (2025). Benefits of Different Strategies to Adapt Sleep Scoring Models from Scalp- to Ear-EEG. I E E E Engineering in Medicine and Biology Society. Conference Proceedings, 2025, 1-7. https://doi.org/10.1109/EMBC58623.2025.11252780

Nørremark, M., Brask, M. J., Hansen, M. J. & Ottosen, C.-O., (2025). Besvarelse af kommentarer til teknologilisten for Miljø- og Klimateknologi 2025 – del A, Nr. 2025-0840278, 40 s., jul. 03, 2025. Rådgivningsnotat fra DCA - Nationalt Center for Fødevarer og Jordbrug

Amarasinghe, Y., Shiri, Y., Tan, T., Zhonghua, G., Singh, R., Davidsen, R. S., Klarskov, P., Mittleman, D. & Pitchappa, P. (2025). Broad-Angle Beam-Steering Using a Silicon-Based Flattened Luneburg Lens for THz Band. I 2025 Conference on Lasers and Electro-Optics, CLEO 2025: Conference on Lasers & Electro-Optics Artikel SS153_5 Optica Publishing Group. https://doi.org/10.1364/CLEO_SI.2025.SS153_5

Amarasinghe, Y., Shiri, Y., Guerboukha, H., Shrestha, R., Klarskov, P. & Mittleman, D. M. (2025). Broad angle broadband resolver for THz band. Scientific Reports, 15(1), Artikel 21005. https://doi.org/10.1038/s41598-025-05321-5

Zamora Luria, J. C., Asif, M. R., Meldgaard Madsen, L. & Grombacher, D. (2025). Challenges with starting models, correlation and convergence for inversion of IP-affected TEM data: examples from African countries. Geophysics. Advance online publication. https://doi.org/10.1190/geo-2025-0285

Li, B. & Schultz, C. P. L. (2025). Clingo2DSR - A clingo-based software system for declarative spatial reasoning. Spatial Cognition & Computation, 25(1), 69-119. https://doi.org/10.1080/13875868.2024.2324875

Zayed, Y. N. H., Kamari, A. & Schultz, C. P. L. (2025). Co-creation of Prospect: a BIM-based Plugin Enabling Architects to Embed Social Design Intentions in Building Models. Abstract fra Joint EC3 (European Conference on Computing in Construction) and CIB W78 (Information Technology for Construction) 2025, Porto, Portugal. https://ec-3.org/publications/conferences/EC32025/papers/EC32025_173.pdf

Nguyen, N. D. T., Mikkelsen, K. & Kidmose, P. (2025). Cognitive component of auditory attention to natural speech events. Frontiers in Human Neuroscience, 18, Artikel 1460139. http://10.3389/fnhum.2024.1460139

Asif, M. R., Kass, M. A., Herpe, M., Rawlinson, Z., Westerhoff, R., Larsen, J. J. & Christiansen, A. V. (2025). Comparative analysis of deep learning and traditional airborne electromagnetic data processing: A case study. Geophysics, 90(3), WA103-WA112. https://doi.org/10.1190/geo2024-0282.1

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

Talasila, P., Gomes, C., Vosteen, L. B., Iven, H., Leucker, M., Gil, S., Mikkelsen, P. H., Kamburjan, E. & Larsen, P. G. (2025). Composable digital twins on Digital Twin as a Service platform. Simulation, 101(3), 287-311. https://doi.org/10.1177/00375497241298653

Bjerge, K. (2025). Computer Vision and Deep Learning for Insect Monitoring (1 udg.). Aarhus University.

Hallerstede, S., Robby & Hatcliff, J. (2025). Danvy’s Mystery Functions in Slang. I F. Henglein, J. Lawall, J. Palsberg & S. Ilya (red.), OLIVIERFEST 2025 - Proceedings of the Workshop Dedicated to Olivier Danvy on the Occasion of His 64th Birthday (s. 14-25). Association for Computing Machinery. https://doi.org/10.1145/3759427.3760363

Gheisarnejad, M., Fathollahi, A., Sharifzadeh, M., Laurendeau, E. & Al-Haddad, K. (2025). Data-Driven Switching Control Technique Based on Deep Reinforcement Learning for Packed E-Cell as Smart EV Charger. IEEE Transactions on Transportation Electrification, 11(1), 3194-3203. https://doi.org/10.1109/TTE.2024.3435763

Carreto Picón, G., Zhou, P. Y., Zhang, Q. & Iosifidis, A. (2025). DeepCoT: Deep Continual Transformers for Real-Time Inference on Data Streams.

Wu, H., Liao, Y., Hadi Mogavi, R., Hui, P. & Zhou, P. Y. (2025). Deepfake in the Metaverse: An Outlook Survey. I X. Fang (red.), HCI in Games : 7th International Conference, HCI-Games 2025, Held as Part of the 27th HCI International Conference, HCII 2025, Proceedings (s. 253-267). Springer. https://doi.org/10.1007/978-3-031-92578-8_17

Bjerge, K., Bodesheim, P. & Karstoft, H. (2025). Deep Image Clustering with Model-Agnostic Meta-Learning. I In Proceedings of the 20th International Joint Conference on Computer Vision (Bind 2, s. 286-297). Imaging and Computer Graphics Theory and Applications - VISAPP 2025. https://doi.org/10.5220/0013114600003912

Sharifirad, I. (2025). Designing and Deployment of ML-Empowered Anomaly Detection for Time-critical System on Embedded Platform. [Ph.d.-afhandling, Aarhus Universitet].

Adamsen, A. P. S., Kastensand, M., Larsen, P. F., Kristensen, J. K., Kristensen, E. F. & Guldberg, L. B. (2025). Development of a gas collection and methane flaring system for covered slurry tanks. Abstract fra RAMIRAN 2025, Wageningen, Holland.

Miyazawa, A., Ahmadi, S., Cavalcanti, A., Baxter, J., Post, M., Ribeiro, P., Timmis, J. & Wright, T. (2025). Diagrammatic physical robot models. Software and Systems Modeling, 24(5), 1549-1593. Artikel 103720. https://doi.org/10.1007/s10270-025-01270-9

Olsen, M. L. S., Thorlund, J. B., Zachariae, R., Vach, W., Bendix, L., Jespersen, J., Kidmose, P., Parsons, C., Kidholm, K. & Vægter, H. B. (2025). Digitally delivered cognitive behavioral therapy for insomnia (CBT-I) for patients with chronic pain and insomnia (The Back2Sleep Trial): study protocol for a randomized controlled trial. Trials, 26(1), Artikel 292. https://doi.org/10.1186/s13063-025-09013-3

Vahdanjoo, M., Grøn Sørensen, C. & Nørremark, M. (2025). Digital transformation of the agri-food system. Current Opinion in Food Science, 63, Artikel 101287. https://doi.org/10.1016/j.cofs.2025.101287

Fitzgerald, J., Gomes, C., Johnsen, E. B., Kamburjan, E., Leucker, M. & Woodcock, J. (2025). Digital Twin Engineering. I T. Margaria & B. Steffen (red.), Leveraging Applications of Formal Methods, Verification and Validation. Specification and Verification - 12th International Symposium, ISoLA 2024, Proceedings (s. 3-8). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-75390-9_1

Gomes, C., Kristensen, M. H., Andersen, M. S., Talasila, P., Feng, H., Wright, T. & Larsen, P. G. (2025). Digital Twin Tutorial: The Incubator Case Study. I J. P. Bowen, C. Gomes & Z. Liu (red.), Engineering Trustworthy Software Systems - 6th International School, SETSS 2024, Tutorial Lectures (s. 68-101). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-96-4656-2_3

Zheng, X., Luo, Y., Zhou, P. & Wang, L. (2025). Distilling efficient Vision Transformers from CNNs for semantic segmentation. Pattern Recognition, 158, Artikel 111029. https://doi.org/10.1016/j.patcog.2024.111029

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

Li, H., Shi, H., Zhang, W., Wu, W., Liao, Y., Wang, L., Lee, L. H. & Zhou, P. Y. (2025). DreamScene: 3D Gaussian-Based Text-to-3D Scene Generation via Formation Pattern Sampling. I A. Leonardis, E. Ricci, S. Roth, O. Russakovsky, T. Sattler & G. Varol (red.), Computer Vision – ECCV 2024 - 18th European Conference, Proceedings (s. 214-230). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-72904-1_13

Li, H., Tian, Y., Lan, K., Liao, Y., Wang, L., Hui, P. & Zhou, P. Y. (2025). DreamScene: 3D Gaussian-based End-to-end Text-to-3D Scene Generation. IEEE Transactions on Pattern Analysis and Machine Intelligence. Advance online publication. https://doi.org/10.1109/TPAMI.2025.3620403

Shahgholian, G., Moradian, M. & Fathollahi, A. (2025). Droop control strategy in inverter-based microgrids: A brief review on analysis and application in islanded mode of operation. IET Renewable Power Generation, 19(1), Artikel e13186. https://doi.org/10.1049/rpg2.13186

Salavatidezfouli, S., Karstoft, H., Iosifidis, A. & Abkar, M. (2025). Dual guidance: Reduced-order model-informed field reconstruction with generative models. Physics of Fluids, 37(9), Artikel 093617. https://doi.org/10.1063/5.0285462

Boudjadar, J., Islam, S. U. & Buyya, R. (2025). Dynamic FPGA reconfiguration for scalable embedded artificial intelligence (AI): A co-design methodology for convolutional neural networks (CNN) acceleration. Future Generation Computer Systems, 169, Artikel 107777. https://doi.org/10.1016/j.future.2025.107777

Li, N., Iosifidis, A. & Zhang, Q. (2025). Dynamic Semantic Compression for CNN Inference in Multi-Access Edge Computing: A Graph Reinforcement Learning-Based Autoencoder. IEEE Transactions on Wireless Communications, 24(3), 2157-2172. https://doi.org/10.1109/TWC.2024.3518399

Kristensen, M., Wright, T. D., Gomes, C., Esterle, L. & Larsen, P. G. (2025). DynSRV: Dynamically Updated Properties for Stream Runtime Verification. I Runtime Verification (s. 101-119). Springer. https://doi.org/10.1007/978-3-032-05435-7_7

Raj, R. K., Saini, S., Verma, R. S., Kaushik, B. K. & Shreya, S. (2025). Dzyaloshinskii–Moriya interaction gradient driven skyrmion based energy efficient leaky integrate fire neuron. Journal of Magnetism and Magnetic Materials, 614, Artikel 172694. https://doi.org/10.1016/j.jmmm.2024.172694

Bjarke Mikkelsen, K., Rezai Tabar, Y., Rævsbæk Birch, L., Kappel, S. L., Christensen, C. B., Dalskov Mosgaard, L., Otto, M., Christian Hemmsen, M., Lind Rank, M. & Kidmose, P. (2025). Ear-EEG sleep monitoring data sets. Scientific Data, 12(1), Artikel 301. https://doi.org/10.1038/s41597-025-04579-8

Krukar, J. & Schultz, C. (2025). Ecological validity of architectural cognition: a framework. Architectural Science Review, 68(5), 355-362. https://doi.org/10.1080/00038628.2024.2410741

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

Hansen, S. K., Hansen, P., Berry, T. W., Grønbæk, H. D., Olsen, C. M., Merhi, Y., Agarwala, S., Aagaard, P., Hvid, L. G., Agergaard, J., Dela, F. & Suetta, C. (2025). Effects of neuromuscular electrical stimulation on voluntary muscle activation and peripheral muscle contractility following short-term bed rest. Experimental Physiology, 110(12), 1966-1977. https://doi.org/10.1113/EP092194

Vang, M. Ø., Grombacher, D., Larsen, J. J. & Wilson, S. (2025). Efficient mapping of complex groundwater systems associated with braided rivers using small coil surface nuclear magnetic resonance. Geophysics, 90(3), 1-12. https://doi.org/10.1190/geo2023-0765.1

Tcherniak, D., Talasila, P., Ulriksen, M. D., Abbiati, G., Mahato, S. & Jensen, A. M. D. (2025). Efficient system identification, model updating, and virtual sensing in the Digital-Twin-as-a-Service software platform. I M. Dohler, A. Melot & M. A. Lopez (red.), Proceedings of the 11th International Operational Modal Analysis Conference, IOMAC 2025 (s. 271-279). International Operational Modal Analysis Conference (IOMAC). https://iomac2025.sciencesconf.org/596439/document

Lillelund, C. M., Magris, M. & Pedersen, C. F. (2025). Efficient Training of Probabilistic Neural Networks for Survival Analysis. IEEE Journal of Biomedical and Health Informatics, 29(9), 6157-6166. https://doi.org/10.1109/JBHI.2024.3417369

Saha, S., Sivakumar, N., Bandaru, N., Roy, S. C. & Rath, J. K. (2025). Electrical characterization and double diode modelling of heterojunction of TiO₂-SnS quantum dots. Journal of Materials Science: Materials in Electronics, 36(10), Artikel 624. https://doi.org/10.1007/s10854-025-14688-0

Salamon, H., Wang, Y., Snedker-Nielsen, A., Shadmani, A., Schott, R., Balauroiu, M., Volet, N., Ludwig, A. & Midolo, L. (2025). Electrical Control of Quantum Dots in GaAs-on-Insulator Waveguides for Coherent Single-Photon Generation. Nano Letters, 25(46), 16366-16371. https://doi.org/10.1021/acs.nanolett.5c04044

Kusumanchi, P., Madsen, J. G., Bek, T., Keller, S. S. & Davidsen, R. S. (2025). Electrical stimulation of neuroretinas with 3D pyrolytic carbon electrodes. Biomedical Microdevices, 27(1), Artikel 7. https://doi.org/10.1007/s10544-024-00729-8

Ssemakula, F., Nawoya, S., Kunyanga, C. N., Akol, R., Nakimbugwe, D., Bett, R. C., Karstoft, H., Bjerge, K., Katumba, A., Mwikirize, C. & Gebreyesus, G. (2025). Emerging technologies for fast determination of nutritional quality and safety of insects for food and feed: A review. Computers and Electronics in Agriculture, 239, Artikel 111126. https://doi.org/10.1016/j.compag.2025.111126

Amer, A. H. K. S. A., Mehndiratta, M., Brodskiy, Y. & Kayacan, E. (2025). Empowering Autonomous Underwater Vehicles Using Learning-Based Model Predictive Control With Dynamic Forgetting Gaussian Processes. IEEE Transactions on Control Systems Technology, 33(5), 1913-1920. https://doi.org/10.1109/TCST.2025.3539218

Masoudian, A., Jakobsen, U. & Khooban, M. H. (2025). Emulation of Variational Quantum Circuits on Embedded Systems for Real-Time Quantum Machine Learning Applications. Designs, 9(4), Artikel 87. https://doi.org/10.3390/designs9040087

Castillo-Sánchez, J. B., Cano-García, J. M., González-Parada, E. & Frasheri, M. (2025). Enabling Autonomous Agents for Mobile Wireless Sensor Networks. Applied Sciences (Switzerland), 15(11), Artikel 6193. https://doi.org/10.3390/app15116193

Rehman, Z. U., Hassan, U., Islam, S. U., Gallos, P. & Boudjadar, J. (2025). Energy-Efficient AI for Medical Diagnostics: Performance and Sustainability Analysis of ResNet and MobileNet. I Intelligent Health Systems – From Technology to Data and Knowledge (s. 1225-1229). IOS Press. https://doi.org/10.3233/SHTI250585

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