Rasmussen, S. M.
, Nielsen, T., Hody, S.
, Hager, H. & Schousboe, L. P. (2022).
Author Correction: Photoplethysmography for demarcation of cutaneous squamous cell carcinoma (Scientific Reports, (2021), 11, 1, (21467), 10.1038/s41598-021-00645-4).
Scientific Reports,
12(1), Article 3521.
https://doi.org/10.1038/s41598-022-06856-7
Grøn Sørensen, C., Pesonen, L., Fountas, S., Suomi, P.
, Bochtis, D., Bildsøe, P. & Pedersen, S. M. (2010).
A user-centric approach for information modelling in arable farming.
Computers and Electronics in Agriculture,
73(1), 44-55.
https://doi.org/10.1016/j.compag.2010.04.003
Legaard, C. M., Tola, D., Schranz, T.
, Macedo, H. D. & Larsen, P. G. (2021).
A Universal Mechanism for Implementing Functional Mock-up Units. In G. Wagner, F. Werner, T. I. Ören & F. D. Rango (Eds.),
Proceedings of the 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2021, Online Streaming, July 7-9, 2021 (pp. 121-129). SCITEPRESS Digital Library.
https://doi.org/10.5220/0010577601210129
Mohammadi Moghadam, H., Mohammadzadeh, A., Hadjiaghaie Vafaie, R., Tavoosi, J.
& Khooban, M. H. (2022).
A type-2 fuzzy control for active/reactive power control and energy storage management.
Transactions of the Institute of Measurement and Control,
44(5), 1014-1028.
https://doi.org/10.1177/01423312211048038
Tran, D. T., Passalis, N., Tefas, A., Gabbouj, M.
& Iosifidis, A. (2022).
Attention-Based Neural Bag-of-Features Learning for Sequence Data.
IEEE Access,
10, 45542-45552.
https://doi.org/10.1109/ACCESS.2022.3169776
Andalibi, M., Hajihosseini, M., Teymoori, S., Kargar, M. & Gheisarnejad, M. (2021).
A Time-Varying Deep Reinforcement Model Predictive Control for DC Power Converter Systems. In S. K. Mazumder, J. C. Balda, L. He, J. Liu & A. Gupta (Eds.),
2021 IEEE 12th International Symposium on Power Electronics for Distributed Generation Systems (PEDG) (pp. 1-6). IEEE.
https://doi.org/10.1109/PEDG51384.2021.9494214
Pedersen, L., Wagner, S., Skov, H. & Sandager, P. (2023).
A Time Study for the Analysis of the Potential for the Automated Stepwise Screening Program for Preeclampsia at Week 12 of Gestation. In G. A. Papadopoulos, A. Achilleos, E. Pissaloux & R. Velázquez (Eds.),
ICT for Health, Accessibility and Wellbeing - 2nd International Conference, IHAW 2022, Revised Selected Papers (pp. 189-199). Springer.
https://doi.org/10.1007/978-3-031-29548-5_13
Tabar, Y. R.
, Mikkelsen, K. B., Shenton, N.
, Kappel, S. L., Nikbakht, R., Toft, H. O., Henriksen, C. H., Hemmsen, M. C., Rank, M. L.
, Otto, M. & Kidmose, P. (2023).
At-home sleep monitoring using generic ear-EEG.
Frontiers in Neuroscience,
17, Article 987578.
https://doi.org/10.3389/fnins.2023.987578
Baghaee Ivriq, S., Laursen, K., Møller Jørgensen, A., Mondal, T.
, Zamani, M., Rezaeiyan, Y., Corbett, B.
, Iversen, B. B. & Moradi, F. (2024).
A System-Level Feasibility Study of a Lead-Free Ultrasonically Powered Light Delivery Implant for Optogenetics.
Advanced Intelligent Systems ,
6(3), Article 2300527.
https://doi.org/10.1002/aisy.202300527
Jensen, R. I. T., Ferwerda, J., Jørgensen, K. S., Jensen, E. R., Borg, M., Krogh, M. P., Jensen, J. B.
& Iosifidis, A. (2023).
A synthetic data set to benchmark anti-money laundering methods.
Scientific Data,
10(1), Article 661.
https://doi.org/10.1038/s41597-023-02569-2
Kulik, T., Dongol, B.
, Larsen, P. G., Macedo, H. D., Schnieder, S., Tran-Jørgensen, P. W. V.
& Woodcock, J. (2022).
A Survey of Practical Formal Methods for Security.
Formal Aspects of Computing,
34(1), Article 3522582.
https://doi.org/10.1145/3522582
Griffiths, M. P., Grombacher, D., Kass, M. A., Vang, M., Liu, L. & Larsen, J. J. (2023).
A surface NMR forward in a dot product.
Geophysical Journal International,
234(3), 2284-2290.
https://doi.org/10.1093/gji/ggad203
Saleem, S., Naqvi, S. S., Manzoor, T., Saeed, A.
, Rehman, N. U. & Mirza, J. (2019).
A Strategy for Classification of textquotedblleftVaginal vs. Cesarean Sectiontextquotedblright Delivery: Bivariate Empirical Mode Decomposition of Cardiotocographic Recordings.
Frontiers in Physiology,
10.
https://doi.org/10.3389/fphys.2019.00246
Kass, M. A., Grombacher, D., Griffiths, M., Vang, M. Ø., Liu, L. & Larsen, J. J. (2022).
A steady-state approach to surface nuclear magnetic resonance. In
Proceedings of the Symposium on the Application of Geophyics to Engineering and Environmental Problems, SAGEEP (pp. 54). J and N Group, Ltd..
https://www.eegs.org/assets/docs/Symposium/2022SAGEEP/AbstractsbyAuthor/Kass%2C%20A%20STEADY-STATE%20APPROACH%20TO%20SURFACE%20NUCLEAR%20MAGNETIC%20RESONANCE%20-%20SAGEEP%202022%20-%20205367449.pdf
Rouhi Ardeshiri, R., Gheisarnejad Chirani, M., Tavana, M. R., Vafamand, N.
& Khooban, M. H. (2022).
A robust intelligent controller-based motion control of a wheeled mobile robot.
Transactions of the Institute of Measurement and Control,
44(15), 2911-2918.
https://doi.org/10.1177/01423312221088389
Böttjer, T., Tola, D., Kakavandi, F., Wewer, C. R., Ramanujan, D., Gomes, C., Larsen, P. G. & Iosifidis, A. (2023).
A review of unit level digital twin applications in the manufacturing industry.
CIRP Journal of Manufacturing Science and Technology,
45, 162-189.
https://doi.org/10.1016/j.cirpj.2023.06.011
Larsen, J. J., Griffiths, M., Vang, M., Liu, L. & Grombacher, D. (2021).
Apsu - A compact surface NMR instrument for groundwater investigations.
SEG Technical Program Expanded Abstracts,
2021-September, 3135-3139.
https://doi.org/10.1190/segam2021-3582046.1
Gomes, C., Franceschini, R., Battle, N., Thule, C.
, Lausdahl, K., Vangheluwe, H.
& Larsen, P. G. (2020).
Application of Model-Based Testing to Dynamic Evaluation of Functional Mockup Units. In
Proceedings of the American Modelica Conference 2020 (pp. 149-158). Linköping University Electronic Press.
https://doi.org/10.3384/ecp20169149
Khare, S. K., March, S., Barua, P. D., Gadre, V. M. & Acharya, U. R. (2023).
Application of data fusion for automated detection of children with developmental and mental disorders: A systematic review of the last decade.
Information Fusion,
99, Article 101898.
https://doi.org/10.1016/j.inffus.2023.101898
Yaacob, H., Hossain, F., Shari, S.
, Khare, S. K., Ooi, C. P. & Rajendra Acharya, U. (2023).
Application of Artificial Intelligence Techniques for Brain-Computer Interface in Mental Fatigue Detection: A Systematic Review (2011-2022).
IEEE Access,
11, 74736-74758.
https://doi.org/10.1109/ACCESS.2023.3296382
Lading, T., Lindskow, T.
, Sharghbin, M., Benhassen, L. L., Bechsgaard, T. K., Røpcke, D. M.
, Nielsen, S. L. & Johansen, P. (2018).
Aortic valve repair techniques affect the annulus differently: an In Vitro characterization.
The Journal of Heart Valve Disease,
27(4), 251-58.
Laursen, K., Zamani, M., Rezaeiyan, Y., Hosseini, S., Mondal, T., Corbett, B., Ouagazzal, A. M., Amalric, M.
& Moradi, F. (2023).
An Ultrasonically-Powered System for 1.06mm3 Implantable Optogenetics and Drug Delivery Dust.
IEEE Transactions on Circuits and Systems II: Express Briefs,
70(10), 3937-3941.
https://doi.org/10.1109/TCSII.2023.3289028
Oshnoei, S., Aghamohammadi, M. R., Oshnoei , S., Sahoo, S.
, Fathollahidehkordi, A. & Khooban, M. H. (2023).
A novel virtual inertia control strategy for frequency regulation of islanded microgrid using two-layer multiple model predictive control.
Applied Energy,
343, Article 121233.
https://doi.org/10.1016/j.apenergy.2023.121233
Mohammadi Moghadam, H., Gheisarnejad Chirani, M., Yalsavar, M., Foroozan, H.
& Khooban, M. H. (2021).
A Novel Nonsingular Terminal Sliding Mode Control-Based Double Interval Type-2 Fuzzy Systems: Real-Time Implementation.
Inventions,
6(2), Article 40.
https://doi.org/10.3390/inventions6020040