Abdolmaleki, 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
Haldrup, M., Rasmussen, M., Mohamad, N., Dyrskog, S., Thorup, L., Mikic, N., Wismann, J., Grønhøj, M., Poulsen, F. R.
, Nazari, M., Rehman, N. U., Simonsen, C. Z. & Korshøj, A. R. (2023).
Intraventricular Lavage vs External Ventricular Drainage for Intraventricular Hemorrhage: A Randomized Clinical Trial.
JAMA network open,
6(10), e2335247. Artikel e2335247.
https://doi.org/10.1001/jamanetworkopen.2023.35247
Nørremark, M., Hansen, M. J., Børsting, C. F., Ottosen, C.-O. & Jensen, P. K., (2023).
Landbrugsteknisk hjælp til besvarelse af høringssvar til Miljø- og klimateknologi 2023, Nr. 2023-0543309, 41 s., sep. 19, 2023. Rådgivningsnotat fra DCA - Nationalt Center for Fødevarer og Jordbrug
Laakom, F., Raitoharju, J.
, Iosifidis, A. & Gabbouj, M. (2023).
Learning Distinct Features Helps, Provably. I D. Koutra, C. Plant, M. Gomez Rodriguez, E. Baralis & F. Bonchi (red.),
Machine Learning and Knowledge Discovery in Databases: Research Track: European Conference, ECML PKDD 2023, Turin, Italy, September 18–22, 2023, Proceedings, Part II (s. 206-222). Springer.
https://doi.org/10.1007/978-3-031-43415-0_13
Jørgensen, S. D.
, Kidmose, P., Mikkelsen, K., Blech, M., Hemmsen, M. C., Rank, M. L. & Kjaer, T. W. (2023).
Long-term ear-EEG monitoring of sleep – A case study during shift work.
Journal of Sleep Research,
32(5), Artikel e13853.
https://doi.org/10.1111/jsr.13853
Phan, H.
, Lorenzen, K. P., Heremans, E., Chen, O. Y., Tran, M. C., Koch, P., Mertins, A., Baumert, M.
, Mikkelsen, K. B. & De Vos, M. (2023).
L-SeqSleepNet: Whole-cycle Long Sequence Modeling for Automatic Sleep Staging.
IEEE Journal of Biomedical and Health Informatics,
27(10), 4748-4757.
https://doi.org/10.1109/JBHI.2023.3303197
Islam, M. T., Khan, H. A.
, Naveed, K., Nauman, A., Gulfam, S. M. & Kim, S. W. (2023).
LUVS-Net: A Lightweight U-Net Vessel Segmentor for Retinal Vasculature Detection in Fundus Images.
Electronics,
12(8), Artikel 1786.
https://doi.org/10.3390/electronics12081786
Khezri, R., Razmi, P., Mahmoudi, A., Bidram, A.
& Khooban, M. H. (2023).
Machine Learning-based Sizing of a Renewable-Battery System for Grid-Connected Homes with Fast-Charging Electric Vehicle.
IEEE Transactions on Sustainable Energy,
14(2), 837-848.
https://doi.org/10.1109/TSTE.2022.3227003
Madsen, M. L., Ulsig, E. Z., Folsach, S., Godoy, P. H., Stanton, E. J.
& Volet, N. (2023).
Mid-infrared difference-frequency generation in AlGaAs-on-insulator waveguides.
Journal of the Optical Society of America B: Optical Physics,
40(7), 1742-1748.
https://doi.org/10.1364/JOSAB.488065
Nørremark, M., Hansen, M. J., Kai, P., Børsting, C. F., Ottosen, C.-O., Konnerup, D., Jensen, P. K. & Melander, B. (2023).
Miljø- og Klimateknologi 2023. DCA - Nationalt Center for Fødevarer og Jordbrug. Rådgivningsrapport fra DCA - Nationalt Center for Fødevarer og Jordbrug DCA rapport Nr. 221
https://dcapub.au.dk/djfpublikation/djfpdf/DCArapport221.pdf
Alvarez Tunon, O., Kanner, H.
, Ribeiro Marnet, L., Pham, X. H., Sejersen, J. L. F., Brodskiy, Y.
& Kayacan, E. (2023).
MIMIR-UW: A Multipurpose Synthetic Dataset for Underwater Navigation and Inspection. I
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (s. 6141-6148). IEEE.
https://doi.org/10.1109/IROS55552.2023.10341436
Hageman, K., Feal, A., Gamba, J., Girish, A., Bleier, J., Lindorfer, M., Tapiador, J. & Vallina-Rodriguez, N. (2023).
Mixed Signals: Analyzing Software Attribution Challenges in the Android Ecosystem.
IEEE Transactions on Software Engineering,
49(4), 2964-2979.
https://doi.org/10.1109/TSE.2023.3236582
Kazemi, Z., Rask, J. K., Gomes, C., Yildiz, E.
& Larsen, P. G. (2023).
Movable factory—A systematic literature review of concepts, requirements, applications, and gaps.
Journal of Manufacturing Systems,
69, 189-207.
https://doi.org/10.1016/j.jmsy.2023.06.008
Lechuga, M. M. L.
, Nørremark, M., Jorguseski, L., D'Acunto, L., Politis, C. & Palattella, M. R. (2023).
Multi-Connectivity for Livestock Transport in Rural Areas. Afhandling præsenteret på 2023 Joint EuCNC & 6G Summit, Gothenburg, Sverige.
Fathollahidehkordi, A., Gheisarnejad Chirani, M., Boudjadar, J., Derakhshandeh, S. Y.
& Khooban, M. H. (2023).
Multi-Criteria Design of Electric Transit Bus Based on Wireless Charging Infrastructure: A Case Study of Real Road Map in Wakefield.
Automation ,
4(3), 291-308.
https://doi.org/10.3390/automation4030017
Ronchini, M., Rezaeiyan, Y., Zamani, M., Panuccio, G.
& Moradi, F. (2023).
NET-TEN: a silicon neuromorphic network for low-latency detection of seizures in local field potentials.
Journal of Neural Engineering,
20(3), Artikel 036002.
https://doi.org/10.1088/1741-2552/acd029
Yildirim, B., Razmi, P.
, Fathollahidehkordi, A., Gheisarnejad Chirani, M. & Khooban, M. H. (2023).
Neuromorphic deep learning frequency regulation in stand-alone microgrids.
Applied Soft Computing,
144, Artikel 110418.
https://doi.org/10.1016/j.asoc.2023.110418
Nørremark, M., Hansen, M. J., Kai, P., Børsting, C. F., Ottosen, C.-O. & Konnerup, D., (2023).
Notat vedrørende miljø- og klimateknologier 2023 – del 1, Nr. 2023-0505187, 21 s., jun. 02, 2023. Rådgivningsnotat fra DCA - Nationalt Center for Fødevarer og Jordbrug
Noor, M. A., Benhassen, L. L., Kaspersen, A. E., Weiss, M. G., Hasenkam, J. M. & Johansen, P. (2023).
Novel Expansible Aortic Annuloplasty Ring Exhibits Similar Characteristics as the Dacron Ring—an In Vitro Evaluation.
Journal of Cardiovascular Translational Research,
16(5), 1144-1152.
https://doi.org/10.1007/s12265-023-10393-7
Hansen, E. M., Thomsen, I. K., Cronin, I. V., Gislum, R., Larsen, R. & Mortensen, A. K., (2023).
Opdatere trappemodel om dækningsgrad af efterafgrøder ved kontrol i forhold til etableringstidspunkt, Nr. 2022-0445946, 18 s., apr. 26, 2023. Rådgivningsnotat fra DCA - Nationalt Center for Fødevarer og Jordbrug
Fathollahidehkordi, A., Gheisarnejad Chirani, M., Boudjadar, J., Homayounzadeh, M. & Khooban, M. H. (2023).
Optimal Design of Wireless Charging Electric Buses-Based Machine Learning: A Case Study of Nguyen-Dupuis Network.
I E E E Transactions on Vehicular Technology,
72(7), 8449-8458.
https://doi.org/10.1109/TVT.2023.3247838
Pham, X. H., Heiß, M., Tran, D., Nguyen, M. A., Nguyen, A. Q.
& Kayacan, E. (2023).
ORB-Net: End-to-end Planning Using Feature-based Imitation Learning for Autonomous Drone Racing. I
ISR Europe 2023: 56th International Symposium on Robotics, in cooperation with Fraunhofer IPA September 26 – 27, 2023 in Stuttgart (s. 16-21). VDE Verlag GmbH.
https://ieeexplore.ieee.org/document/10363048
Shabani, M., Magris, M., Tzagkarakis, G., Kanniainen, J.
& Iosifidis, A. (2023).
Predicting the State of Synchronization of Financial Time Series using Cross Recurrence Plots.
Neural Computing and Applications,
35(25), 18519–18531.
https://doi.org/10.1007/s00521-023-08674-y
Baltakys, K., Baltakienė, M.
, Heidari, N., Iosifidis, A. & Kanniainen, J. (2023).
Predicting the trading behavior of socially connected investors: Graph neural network approach with implications to market surveillance.
Expert Systems with Applications,
228, Artikel 120285.
https://doi.org/10.1016/j.eswa.2023.120285
Mazur-Milecka, M., Kowalczyk, N., Jaguszewska, K., Zamkowska, D., Wójcik, D., Preis, K.
, Skov, H., Wagner, S., Sandager, P., Sobotka, M. & Rumiński, J. (2023).
Preeclampsia Risk Prediction Using Machine Learning Methods Trained on Synthetic Data. I P. Strumiłło, A. Klepaczko, M. Strzelecki & D. Bociąga (red.),
The Latest Developments and Challenges in Biomedical Engineering: Proceedings of the 23rd Polish Conference on Biocybernetics and Biomedical Engineering, Lodz, Poland, September 27–29, 2023 (s. 267-281). Springer.
https://doi.org/10.1007/978-3-031-38430-1_21
Riishede, I., Rode, L., Sperling, L., Ravn, J. D.
, Sandager, P., Skov, H., Wagner, S. R., Nørgaard, P., Clausen, T. D., Jensen, C. A. J., Pihl, K., Jørgensen, F. S., Munk, J. K., Zingenberg, H. J., Pedersen, N. G., Andersen, M. R., Wright, A., Wright, D., Tabor, A. & Ekelund, C. K. (2023).
Pre-eclampsia screening in Denmark (PRESIDE): national validation study.
Ultrasound in Obstetrics and Gynecology,
61(6), 682-690.
https://doi.org/10.1002/uog.26183
Riishede, I., Rode, L., Sperling, L.
, Overgaard, M., Ravn, J. D.
, Sandager, P., Skov, H., Wagner, S. R., Nørgaard, P., Clausen, T. D., Jensen, C. A. J., Pihl, K., Jørgensen, F. S., Munk, J. K., Zingenberg, H. J., Pedersen, N. G., Andersen, M. R., Wright, A., Wright, D. ... Ekelund, C. K. (2023).
Pre-eclampsia Screening in Denmark (PRESIDE): National Validation Study.
Obstetrical and Gynecological Survey,
78(12), 715-717.
https://doi.org/10.1097/01.ogx.0001004636.48406.54
Merhi, Y., Betancur, P. F., Ripolles, T. S., Suetta, C., Brage-Andersen, M. R., Hansen, S. K., Frydenlund, A.
, Nygaard, J. V., Mikkelsen, P. H., Boix, P. P.
& Agarwala, S. (2023).
Printed dry electrode for neuromuscular electrical stimulation (NMES) for e-textile.
Nanoscale,
15(11), 5337-5344.
https://doi.org/10.1039/d2nr06008f