Wu, Q. F., Jochum, M.
, Avery, J. E., Vettoretti, G. & Nuterman, R. (2025).
Machine Guided Derivation of the Atlantic Meridional Overturning Circulation (AMOC) Strength.
Geophysical Research Letters,
52(3), Artikel e2024GL113454.
https://doi.org/10.1029/2024GL113454
Deutch, F., Weiss, M. G., Wagner, S. R., Hansen, L. S., Larsen, F., Figueiredo, C., Moers, C.
& Keller, A. K. (2025).
Machine-Learning-Based Activity Tracking for Individual Pig Monitoring in Experimental Facilities for Improved Animal Welfare in Research.
Sensors,
25(3), Artikel 785.
https://doi.org/10.3390/s25030785
Kashem, A., Anzer, A., Jagirdar, R., Sojib, M. S.
, Farooq, F. & Das, P. (2025).
Metaheuristic-based machine learning approaches of compressive strength forecasting of steel fiber reinforced concrete with SHapley Additive exPlanations.
Multiscale and Multidisciplinary Modeling, Experiments and Design,
8(1), Artikel 61.
https://doi.org/10.1007/s41939-024-00656-4
Adamsen, A. P. S., Brask, M. J., Børsting, C. F., Hansen, M. J., Kai, P., Nørremark, M. & Ottosen, C.-O. (2025).
Miljø- og Klimateknologi 2025. DCA - Nationalt Center for Fødevarer og Jordbrug. Rådgivningsrapport fra DCA - Nationalt Center for Fødevarer og Jordbrug
Nawoya, S., Geissmann, Q., Karstoft, H., Bjerge, K., Akol, R., Katumba, A., Mwikirize, C.
& Gebreyesus, G. (2025).
Prediction of black soldier fly larval sex and morphological traits using computer vision and deep learning.
Smart Agricultural Technology,
11, Artikel 100953.
https://doi.org/10.1016/j.atech.2025.100953
Zhang, S., Ding, Y., Tang, W., Sun, W., Liao, Y.
& Zhou, P. Y. (2025).
Privacy-Preserving Orthogonal Aggregation for Guaranteeing Gender Fairness in Federated Recommendation. I
WSDM 2025 - Proceedings of the 18th ACM International Conference on Web Search and Data Mining (s. 327-335). Association for Computing Machinery.
https://doi.org/10.1145/3701551.3703513
Deantoni, J., Muñoz, P.
, Gomes, C., Verbrugge, C., Mittal, R., Heinrich, R., Bellis, S. & Vallecillo, A. (2025).
Quantifying and combining uncertainty for improving the behavior of Digital Twin Systems.
Automatisierungstechnik: AT,
73(2), 81-99.
https://doi.org/10.1515/auto-2024-0036
Reese, F. S.
, Amariei, G., Henriksen, M. L., Klarskov, P. & Hinge, M. (2025).
Quantitative identification of melamine flame retardant in polyolefins with hyperspectral imaging and machine learning.
Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy,
333, Artikel 125870.
https://doi.org/10.1016/j.saa.2025.125870
Bogomolov, S.
, Gomes, C., Isasa, C., Soudjani, S., Stankaitis, P.
& Wright, T. (2025).
Reachability analysis of FMI models using data-driven dynamic sensitivity.
Simulation,
101(5), 575-596.
https://doi.org/10.1177/00375497241261409
Asiminari, G., Benos, L., Kateris, D., Busato, P., Achillas, C.
, Grøn Sørensen, C., Pearson, S.
& Bochtis, D. (2025).
Simplifying Field Traversing Efficiency Estimation Using Machine Learning and Geometric Field Indices.
AgriEngineering,
7(3), Artikel 75.
https://doi.org/10.3390/agriengineering7030075
Borges, H. B., Christensen, C. B., Kidmose, P., Alickovic, E. & Zaar, J. (2025).
Speech Reception Threshold Estimation via EEG-Based Continuous Speech Envelope Reconstruction.
European Journal of Neuroscience,
61(6), Artikel e70083.
https://doi.org/10.1111/ejn.70083
Surrow, J. H., Thomsen, S. T., Kumar, R. R., Far Brusatori, M., Paula Montes, M., Palsole, A. S., Hoede, C., Klein, H. N.
& Volet, N. (2025).
Ultra-narrow linewidth laser across the C-band using polarization-controlled dual-cavity feedback.
Optics Express,
33(5), 11863-11875.
https://doi.org/10.1364/OE.544372
Zamani, M., Hosseini, S., Laursen, K., Rashidi, A., Ivriq, S. B., Rezaeiyan, Y. & Moradi, F. (2025).
Ultrasound-Based Wireless Powering Technologies. I R. Das & H. Heidari (red.),
Wireless Power Technologies for Biomedical Devices (s. 113-163). Springer.
https://doi.org/10.1007/978-3-031-52834-7_6
Haiyang, Y., Ruige, G., Zhongda, Z., Yuzhang, Z.
, Xiaobo, Z., Tao, L. & Haiyan, W. (2025).
U-TransCNN: A U-shape transformer-CNN fusion model for underwater image enhancement.
Displays,
88, Artikel 103047.
https://doi.org/10.1016/j.displa.2025.103047
Sharma, B., Bhutia, P. R.
, Raj, R. K., Chettri, B., Kaushik, B. K.
& Shreya, S. (Accepteret/In press).
VCMA Gradient-Driven Skyrmion on a Trapezoidal Nanotrack for Racetrack Memory Application.
IEEE Open Journal of Nanotechnology,
6, 44-50.
https://doi.org/10.1109/OJNANO.2025.3550173
Zhou, P. Y., Fu, S., Finley, B., Li, X., Tarkoma, S., Kangasharju, J., Ammar, M. & Hui, P. (2024).
5G MEC Computation Handoff for Mobile Augmented Reality. I
Proceedings - 2024 IEEE International Conference on Metaverse Computing, Networking, and Applications, MetaCom 2024 (s. 129-136). Institute of Electrical and Electronics Engineers Inc..
https://doi.org/10.1109/MetaCom62920.2024.00032
Koolivand, Y., Mosalmani, A., Rezaeiyan, Y., Esmailbeygi, H., Hatamzadeh, E., Zamani, M. & Moradi, F. (2024).
A 65nm 3mA 0.14-m-Accuracy TDR Based Leak Detection SoC for District Heating Networks with I/C Calibration Technique. I
Proceedings of the Custom Integrated Circuits Conference IEEE.
https://doi.org/10.1109/CICC60959.2024.10528962
Koolivand, Y.
, Rezaeiyan, Y., Zamani, M., Akbari, M., Shoaei, O., Tang, K. T.
& Moradi, F. (2024).
A 69MHz-Bandwidth 40V/μ s-Slew-Rate 3n V/√Hz-Noise 4.5 μ V-Offset Chopper Operational Amplifier.
IEEE Transactions on Circuits and Systems I: Regular Papers,
71(7), 2977-2988.
https://doi.org/10.1109/TCSI.2024.3374428
Tang, W., Cao, Y., Ying, J., Wang, B., Zhao, Y., Liao, Y.
& Zhou, P. (2024).
A + B: A General Generator-Reader Framework for Optimizing LLMs to Unleash Synergy Potential. I L.-W. Ku, A. Martins & V. Srikumar (red.),
62nd Annual Meeting of the Association for Computational Linguistics, ACL 2024 - Proceedings of the Conference (s. 3670-3685). Association for Computational Linguistics (ACL).
https://doi.org/10.18653/v1/2024.findings-acl.219
Shen, K., Zhao, Z., Chen, Y., Zhang, Z.
& Cheng, H. V. (2024).
Accelerating Quadratic Transform and WMMSE.
IEEE Journal on Selected Areas in Communications,
42(11), 1.
https://doi.org/10.1109/JSAC.2024.3431523
Marinoudi, V., Benos, L., Camacho Villa, C., Lampridi, M., Kateris, D., Berruto, R., Pearson, S.
, Sørensen, C. G. & Bochtis, D. (2024).
Adapting to the Agricultural Labor Market Shaped by Robotization.
Sustainability,
16(16), Artikel 7061.
https://doi.org/10.3390/su16167061
Kunrath, K., Leka, S., Vestergaard, L. S., Presser, M. & Ramanujan, D. (2024).
A Digital Tool for Scaffolding Innovation Learning in Engineering Education with Local Industry Needs.
International Journal of Engineering Education,
40(4), 801-814.
Frasheri, M., Böttjer, T., Larsen, P. G., Esterle, L. & Gomes, C. (2024).
Advanced Digital Twin Services. I J. Fitzgerald, C. Gomes & P. G. Larsen (red.),
The Engineering of Digital Twins (s. 209-221). Springer.
https://doi.org/10.1007/978-3-031-66719-0_10
Gomes Guerreiro, G. M., Frank, M., Dreyer, T., Yang, G.
& Andresen, B. (2024).
Advancements on Grid Compliance in Wind Power: Component & Subsystem Testing, Software-/Hardware-in-the-Loop, and Digital Twins.
IEEE Access,
12, 25949-25966.
https://doi.org/10.1109/ACCESS.2024.3366091