Gudjonsdottir, M. S., Audunsson, H., Donoso, A. M., Kristjansson, G., Saemundsdóttir, I., Foley, J. T., Kyas, M., Sripakagorn, A., Roslöf, J.
, Bennedsen, J., Edström, K., Kuptasthien, N. & Lyng, R. (2022).
Editorial.
Proceedings of the International CDIO Conference, iii-iv.
Bennedsen, J., Edström, K., Guðjónsdóttir, M. S., Sæmundsdóttir, I., Kuptasthien, N., Roslöf, J. & Sripakagorn, A. (2021).
Editorial.
Proceedings of the International CDIO Conference, 1-2.
Lyng, R.
, Bennedsen, J., Bettaieb, L., Bodsberg, N. R., Edström, K., Guðjónsdóttir, M. S., Roslöf, J., Solbjørg, O. K. & Øien, G. (2023).
Editorial. In
Proceedings of the 19th International CDIO Conference (pp. iv-v). NTNU Norwegian University of Science and Technology.
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
Wang, X., Feng, Y., Gu, X., Long, Y., Mukherjee, M., Fizza, K.
, Zhang, Q. & Guo, M. (2022).
Edge Intelligence for Synchronized Human-Robotic Arm Interactions over Unreliable Wireless Channels. In
2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings (pp. 6349-6353). IEEE.
https://doi.org/10.1109/GLOBECOM48099.2022.10001583
Tabar, Y. R., Mikkelsen, K. B., Rank, M. L., Hemmsen, M. C.
, Otto, M. & Kidmose, P. (2021).
Ear-EEG for sleep assessment: a comparison with actigraphy and PSG.
Sleep and Breathing,
25(3), 1693-1705.
https://doi.org/10.1007/s11325-020-02248-1
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
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
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. In A. Leonardis, E. Ricci, S. Roth, O. Russakovsky, T. Sattler & G. Varol (Eds.),
Computer Vision – ECCV 2024 - 18th European Conference, Proceedings (pp. 214-230). Springer Science and Business Media Deutschland GmbH.
https://doi.org/10.1007/978-3-031-72904-1_13
Asif, M. R., Foged, N., Bording, T. S., Larsen, J. J. & Christiansen, A. V. (2023).
DL-RMD: a geophysically constrained electromagnetic resistivity model database for deep learning applications.
Earth System Science Data,
15(3), 1389-1401.
https://doi.org/10.5194/essd-2022-345,
https://doi.org/10.5194/essd-15-1389-2023
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
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
Esterle, L., Gomes, C., Frasheri, M., Ejersbo, H., Tomforde, S.
& Larsen, P. G. (2021).
Digital twins for collaboration and self-integration. In E. El-Araby, V. Kalogeraki, D. Pianini, F. Lassabe, B. Porter, S. Ghahremani, I. Nunes, M. Bakhouya & S. Tomforde (Eds.),
Proceedings - 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2021 (pp. 172-177). IEEE.
https://doi.org/10.1109/ACSOS-C52956.2021.00040
Esterle, L., Ejersbo, H., Frasheri, M., Gomes, C., Macedo, H. D. & Larsen, P. G. (2022).
Digital Twins for Autonomous Intelligent Systems: From Development to Deployment. In
Proceedings - 2022 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2022 (pp. 53-54). IEEE.
https://doi.org/10.1109/ACSOSC56246.2022.00028
Naseri, F., Gil Arboleda, S., Barbu, C., Cetkin, E., Yarimca, G., Jensen, A. C.
, Larsen, P. G. & Gomes, C. (2023).
Digital twin of electric vehicle battery systems: Comprehensive review of the use cases, requirements, and platforms.
Renewable and Sustainable Energy Reviews,
179, Article 113280.
https://doi.org/10.1016/j.rser.2023.113280
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
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.
Talasila, P., Gomes, C., Mikkelsen, P. H., Arboleda, S. G., Kamburjan, E.
& Larsen, P. G. (2023).
Digital Twin as a Service (DTaaS): A Platform for Digital Twin Developers and Users.
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
Fernández Khatiboun, D., Rezaeiyan, Y., Ronchini, M., Sadeghi, M., Zamani, M. & Moradi, F. (2023).
Digital Hardware Implementation of ReSuMe Learning Algorithm for Spiking Neural Networks. In
2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) IEEE.
https://doi.org/10.1109/EMBC40787.2023.10340282
Feng, H., Gomes, C., Sandberg, M., Thule, C., Lausdahl, K. & Larsen, P. G. (2021).
Developing a Physical and Digital Twin: An Example Process Model. In
Companion Proceedings - 24th International Conference on Model-Driven Engineering Languages and Systems, MODELS-C 2021 (pp. 286-295). IEEE.
https://doi.org/10.1109/MODELS-C53483.2021.00050
Øien, G. E. D.
& Bennedsen, J. (2023).
DEVELOPING A DIDACTIC FOUNDATION FOR THE TECH FACULTY AT AARHUS UNIVERSITY. In R. Lyng, J. Bennedsen, L. Bettaieb, N. R. Bodsberg, K. Edstrom, M. S. Guojonsdottir, J. Roslof, O. K. Solbjorg & G. Oien (Eds.),
19th CDIO International Conference: Proceedings - Full Papers (pp. 45-55). NTNU Norwegian University of Science and Technology.
https://www.ntnu.edu/documents/1308247420/0/CDIO+2023+Proceedings.pdf/6989d202-864d-52e5-fee7-15d84a281f41?t=1697116952671