David, I., Shao, G.
, Gomes, C., Tilbury, D. & Zarkout, B. (2025).
Interoperability of Digital Twins: Challenges, Success Factors, and Future Research Directions. I T. Margaria & B. Steffen (red.),
Leveraging Applications of Formal Methods, Verification and Validation. Specification and Verification - 12th International Symposium, ISoLA 2024, Proceedings (s. 27-46). Springer Science+Business Media.
https://doi.org/10.1007/978-3-031-75390-9_3Abdolmaleki, H., Astri Bjørnetun Haugen, A., Buhl, K. B.
, Daasbjerg, K. & Agarwala, S. (2023).
Interfacial Engineering of PVDF‐TrFE toward Higher Piezoelectric, Ferroelectric, and Dielectric Performance for Sensing and Energy Harvesting Applications.
Advanced Science,
10(6), Artikel 2205942.
https://doi.org/10.1002/advs.202205942
Skov, H., Riishede Christiansen, I. L., Rode, L., Pihl, K., Jørgensen, F. S., Zingenberg, H., Nørgaard, P., Gros Pedersen, N. M., Gjerris, A. C. R.
, Wagner, S. R., Tabor, A., Ekelund, C. K.
& Sandager, P. (2022).
Inter-arm blood pressure difference in early pregnancy and risk of preeclampsia. Abstract fra FMF 19th World Congress 2022, Kreta, Grækenland.
https://fetalmedicine.org/abstracts/2022/var/pdf/abstracts/2022/04236.pdf
Laakom, F., Raitoharju, J., Nikkanen, J.
, Iosifidis, A. & Gabbouj, M. (2021).
INTEL-TAU: A Color Constancy Dataset.
IEEE Access,
9, 39560-39567. Artikel 9371681.
https://doi.org/10.1109/ACCESS.2021.3064382Sobolewska, E. K., Pelloux-Prayer, J., Becker, H., Li, G., Davies, C. S., Krückel, C. J., Avilés Félix, L., Olivier, A., Sousa, R. C., Prejbeanu, I. L., Kiriliouk, A. I., Van Thourhout, D., Rasing, T.
, Moradi, F. & Heck, M. J. R. (2020).
Integration platform for optical switching of magnetic elements. I G. S. Subramania & S. Foteinopoulou (red.),
Active Photonic Platforms XII Artikel 114612B SPIE - International Society for Optical Engineering.
https://doi.org/10.1117/12.2567662
Feng, H., Gomes, C., Gil Arboleda, S., Mikkelsen, P. H., Tola, D., Larsen, P. G. & Sandberg, M. (2022).
Integration Of The Mape-K Loop In Digital Twins. I C. R. Martin, N. Emami, M. J. Blas & R. Rezaee (red.),
Proceedings of the 2022 Annual Modeling and Simulation Conference, ANNSIM (s. 102-113). IEEE.
https://doi.org/10.23919/ANNSIM55834.2022.9859489
Shadmani, A., Thomas, R. A., Liu, Z., Papon, C.
, Heck, M. J. R., Volet, N., Scholz, S., Wieck, A. D., Ludwig, A., Lodahl, P. & Midolo, L. (2022).
Integration of GaAs waveguides on a silicon substrate for quantum photonic circuits.
Optics Express,
30(21), 37595-37602.
https://doi.org/10.1364/OE.467920Asif, M. R., Foged, N., Maurya, P. K., Grombacher, D. J., Christiansen, A. V., Auken, E. & Larsen, J. J. (2022).
Integrating neural networks in least-squares inversion of airborne time-domain electromagnetic data.
Geophysics,
87(4), E177-E187.
https://doi.org/10.1190/geo2021-0335.1
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), Artikel 4865.
https://doi.org/10.3390/en17194865Asiminari, 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 Abraham, E. (red.)
, Hallerstede, S. (red.), Hatcliff, J. (red.), Stewart, D. (red.) & Abou El Wafa, N. (2023).
Integrated Rigorous Analysis in Cyber-Physical Systems Engineering.
Dagstuhl Reports,
13(1), 155-183.
https://doi.org/10.4230/DagRep.13.1.155 Angotzi, G. N., Giantomasi, L., F. Ribeiro, J., Crepaldi, M., Vincenzi, M.
, Zito, D. & Berdondini, L. (2022).
Integrated Micro-Devices for a Lab-in-Organoid Technology Platform: Current Status and Future Perspectives.
Frontiers in Neuroscience,
16, Artikel 842265.
https://doi.org/10.3389/fnins.2022.842265Jain, A., Cunha, F., Bunsen, M. J., Cañas, J. S., Pasi, L.
, Pinoy, N., Helsing, F., Russo, J., Botham, M., Sabourin, M., Fréchette, J., Anctil, A., Lopez, Y., Navarro, E., Perez Pimentel, F., Zamora, A. C., Silva, J. A. R., Gagnon, J., August, T. ... Rolnick, D. (2025).
Insect Identification in the Wild: The AMI Dataset. I A. Leonardis , E. Ricci , S. Roth , O. Russakovsky , T. Sattler & G. Varol (red.),
Computer Vision – ECCV 2024 - 18th European Conference, Proceedings (s. 55-73). Springer.
https://doi.org/10.1007/978-3-031-72913-3_4Gebreyesus, 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. Artikel Volume 10, Supplement 1 (2024).
https://doi.org/10.1163/23524588-20241013
Amariei, G., Henriksen, M. L., Friis, J. B.
, Pedersen, P. K. & Hinge, M. (2023).
In-line identification of Pb-based pigments in fishing nets and ropes based on hyperspectral imaging and machine learning.
Marine Pollution Bulletin,
191, Artikel 114910.
https://doi.org/10.1016/j.marpolbul.2023.114910
Abdolmaleki, H., Haugen, A. B.
, Merhi, Y., Nygaard, J. V. & Agarwala, S. (2023).
Inkjet-printed flexible piezoelectric sensor for self-powered biomedical monitoring.
Materials Today Electronics,
5, Artikel 100056.
https://doi.org/10.1016/j.mtelec.2023.100056
Jain, S., Naveed, K., Oleksiienko, I., Iosifidis, A. & Pauwels, R. (2025).
InJecteD: Analyzing Trajectories and Drift Dynamics in Denoising Diffusion Probabilistic Models for 2D Point Cloud Generation.
CEUR Workshop Proceedings,
4072, 91-99.
Villa-Henriksen, A., Skou-Nielsen, N.
, Munkholm, L. J., Sørensen, C. A. G., Green, O. & Edwards, G. T. C. (2021).
Infield optimized route planning in harvesting operations for risk of soil compaction reduction.
Soil Use and Management,
37(4), 810-821.
https://doi.org/10.1111/sum.12654
Zambrano, V., Mueller-Roemer, J.
, Sandberg, M., Talasila, P., Zanin, D.
, Larsen, P. G., Loeschner, E., Thronicke, W., Pietraroia, D., Landofi, G., Fontana, A., Laspalas, M., Antony, J., Poser, V., Kiss, T., Bergweiler, S., Pena Serna, S., Izquierdo, S., Viejo, I. ... Stork, A. (2022).
Industrial Digitalization in the Industry 4.0 era: Classification, Reuse and Authoring of Digital Models on Digital Twin Platforms.
Array,
14, Artikel 100176.
https://doi.org/10.1016/j.array.2022.100176Zhao, X., Hosseinzadeh, M., Hudson, N., Khamfroush, H.
& Lucani Rötter, D. E. (2020).
Improving the Accuracy-Latency Trade-off of Edge-Cloud Computation Offloading for Deep Learning Services. I
2020 IEEE Globecom Workshops, GC Wkshps 2020 - Proceedings Artikel 367470 IEEE.
https://doi.org/10.1109/GCWkshps50303.2020.9367470,
https://doi.org/10.1109/GCWkshps50303.2020.9367470
Vassis, S., Todnem, L., Straadt, D.
, Pedersen, C. F., Noeldeke, B., Resnick, C. M.
, Glerup, M., Pedersen, T. K., Pauwels, R. & Stoustrup, P. (2025).
Improving early detection of temporomandibular joint involvement in juvenile idiopathic arthritis with a clinically interpretable machine learning model.
Scientific Reports,
15(1), Artikel 39120.
https://doi.org/10.1038/s41598-025-25988-0
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/10.1177/01423312231155273Rubak, J. A. B., Naveed, K., Jain, S., Esterle, L., Iosifidis, A. & Pauwels, R. (2025).
Impact of Labeling Inaccuracy and Image Noise on Tooth Segmentation in Panoramic Radiographs using Federated, Centralized and Local Learning. ArXiv.
https://doi.org/10.48550/arXiv.2509.06553
Andreas Balle Rubak, J., Naveed, K., Jain, S., Esterle, L., Iosifidis, A. & Pauwels, R. (2026).
Impact of Labeling Inaccuracy and Image Noise on Tooth Segmentation in Panoramic Radiographs using Federated, Centralized and Local Learning.
Dento maxillo facial radiology. Advance online publication.
https://doi.org/10.1093/dmfr/twag001
Zattoni, M., Bontempi, L.
, Ringgaard, S., Luraghi, G.
, Benhassen, L. L., Johansen, P. & Colombo, M. (2026).
In silico modelling of aortic annuloplasty: hemodynamic assessment through in vitro experiments and in vivo MRI.
Computer Methods and Programs in Biomedicine,
277, Artikel 109246.
https://doi.org/10.1016/j.cmpb.2026.109246Andresen, 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
Sartaj, H.
, Boudjadar, J., Frasheri, M., Ali, S.
& Larsen, P. G. (2026).
Identifying Uncertainty in Self-Adaptive Robotics With Large Language Models.
IEEE Software,
43(1), 89-97.
https://doi.org/10.1109/MS.2025.3620578
