Li, H., Ma, L., Shi, H., Hao, Y., Liao, Y., Cheng, L.
& Zhou, P. Y. (2025).
3D-GOI: 3D GAN Omni-Inversion for Multifaceted and Multi-object Editing. In A. Leonardis, E. Ricci, S. Roth, O. Russakovsky, T. Sattler & G. Varol (Eds.),
Computer Vision – ECCV 2024 - 18th European Conference, Proceedings (pp. 390-406). Springer Science and Business Media Deutschland GmbH.
https://doi.org/10.1007/978-3-031-73033-7_22
Liang, W.
, Amer, A., Mehndiratta, M., Chen, Z., Yao, B.
& Kayacan, E. (2025).
Adaptive Robust Control Integrated With Gaussian Processes for Quadrotors: Enhanced Accuracy, Fault Tolerance and Anti-Disturbance.
IEEE Transactions on Systems, Man, and Cybernetics: Systems. Advance online publication.
https://doi.org/10.1109/TSMC.2025.3539707
Liu, L., Domenzain Gonzalez, D.
, Vela, I., Maurya, P. K., Kühl, A. K., Bording, T., Ejlskov, P.
, Auken, E., Larsen, J. J. & Christiansen, A. V. (2025).
An efficient cross-borehole direct current resistivity monitoring instrument.
Geophysics,
90(2), D61-D70.
https://doi.org/10.1190/geo2023-0518.1
Soni, S., Rezaeiyan, Y., Boehnert, T., Ferreira, R., Kaushik, B. K.
, Moradi, F. & Shreya, S. (2025).
A Neuromorphic Computational Model for Spintronics-based Hopfield Oscillatory Neural Network.
IEEE Transactions on Magnetics. Advance online publication.
https://doi.org/10.1109/TMAG.2025.3539977
Bindal, N., Rajib, M. M.
, Raj, R. K., Atulasimha, J. & Kaushik, B. K. (2025).
Antiferromagnetic skyrmion-based energy-efficient leaky integrate and fire neuron device.
Nanotechnology,
36(16), Article 165201.
https://doi.org/10.1088/1361-6528/adb8c1
Christensen, C. S. Q., Hansen, N.
, Motadayen, M., Lock, N., Henriksen, M. L. & Quinson, J. (2025).
A review of metal-organic frameworks and polymers in mixed matrix membranes for CO2 capture.
Beilstein Journal of Nanotechnology,
16, 155-186.
https://doi.org/10.3762/bjnano.16.14
Gasso, V., Barber, A., Moller, H., Bayonne, E., Oudshoorn, F. W.
& Sørensen, C. G. (2025).
Benchmarking for locally tuned sustainability: The case of energy and water use in New Zealand vineyards.
Environmental and Sustainability Indicators,
25, Article 100536.
https://doi.org/10.1016/j.indic.2024.100536
Asif, M. R., Kass, M. A., Herpe, M., Rawlinson, Z., Westerhoff, R.
, Larsen, J. J. & Christiansen, A. V. (2025).
Comparative analysis of deep learning and traditional airborne electromagnetic data processing: A case study.
Geophysics,
90(3), WA103-WA112.
https://doi.org/10.1190/geo2024-0282.1
Holck, E. N., Andreasen, L. N., Hansen, E. K., Thomsen, J. S., Brüel, A., Johansen, P., Christiansen, E. H. & Jakobsen, L. (2025).
Complex Treatment of a Coronary Bifurcation Perforation With a Dual-Covered Stent Strategy.
JACC: Case Reports,
30(7), Article 103382.
https://doi.org/10.1016/j.jaccas.2025.103382
Gheisarnejad, M.
, Fathollahi, A., Sharifzadeh, M., Laurendeau, E. & Al-Haddad, K. (2025).
Data-Driven Switching Control Technique Based on Deep Reinforcement Learning for Packed E-Cell as Smart EV Charger.
IEEE Transactions on Transportation Electrification,
11(1), 3194-3203.
https://doi.org/10.1109/TTE.2024.3435763
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
Raj, R. K., Saini, S., Verma, R. S., Kaushik, B. K.
& Shreya, S. (2025).
Dzyaloshinskii–Moriya interaction gradient driven skyrmion based energy efficient leaky integrate fire neuron.
Journal of Magnetism and Magnetic Materials,
614, Article 172694.
https://doi.org/10.1016/j.jmmm.2024.172694
Bjarke Mikkelsen, K., Rezai Tabar, Y., Rævsbæk Birch, L.
, Kappel, S. L., Christensen, C. B., Dalskov Mosgaard, L.
, Otto, M., Christian Hemmsen, M., Lind Rank, M.
& Kidmose, P. (2025).
Ear-EEG sleep monitoring data sets.
Scientific Data,
12(1), Article 301.
https://doi.org/10.1038/s41597-025-04579-8
Kusumanchi, P.
, Madsen, J. G., Bek, T., Keller, S. S.
& Davidsen, R. S. (2025).
Electrical stimulation of neuroretinas with 3D pyrolytic carbon electrodes.
Biomedical Microdevices,
27(1), Article 7.
https://doi.org/10.1007/s10544-024-00729-8
Jurasz, J., Bochenek, B., Wieczorek, J., Jaczewski, A.
, Kies, A. & Figurski, M. (2025).
Energy potential and economic viability of small-scale wind turbines.
Energy,
322, Article 135608.
https://doi.org/10.1016/j.energy.2025.135608
Fan, W., Haiyang, Y., Zhongda, Z.
, Xiaobo, Z., Yuzhang, Z. & Haiyan, W. (2025).
ESTMST-ST: An End-to-End Soft Threshold and Multiloss Self-Distillation Based Swin Transformer for Underwater Acoustic Signal Recognition.
IEEE Transactions on Geoscience and Remote Sensing,
63, Article 4200813.
https://doi.org/10.1109/TGRS.2024.3520860
Jain, 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. In A. Leonardis , E. Ricci , S. Roth , O. Russakovsky , T. Sattler & G. Varol (Eds.),
Computer Vision – ECCV 2024 - 18th European Conference, Proceedings (pp. 55-73). Springer.
https://doi.org/10.1007/978-3-031-72913-3_4
Olsen, W. P.
, Larsen, A.-K. K., Christensen, J. L., Malle, M. G. & Otzen, D. E. (2025).
Investigating strategies for creating cross-linked amyloid fibril networks through branching of amyloid growth.
Colloids and surfaces. B, Biointerfaces,
251, 114617. Article 114617. Advance online publication.
https://doi.org/10.1016/j.colsurfb.2025.114617
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), Article 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), Article 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), Article 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