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). IEEE.
https://doi.org/10.1109/MetaCom62920.2024.00032
Zhou, P. Y., Finley, B., Lee, L. H., Hadi Mogavi, R. & Hui, P. (2025).
User-Centered Trustworthy AI Metrics in the Metaverse. I X. Fang (red.),
HCI in Games : 7th International Conference, HCI-Games 2025, Held as Part of the 27th HCI International Conference, HCII 2025, Proceedings (s. 105-120). Springer.
https://doi.org/10.1007/978-3-031-92578-8_8
Zhou, P. Y., Zhu, J., Wang, Y., Lu, Y., Wei, Z., Shi, H., Ding, Y., Gao, Y., Huang, Q., Shi, Y., Alhilal, A., Lee, L. H., Braud, T., Hui, P. & Wang, L. (2026).
Vetaverse: Technologies, Applications, and Visions toward the Intersection of Metaverse, AI, Vehicles, and Transportation Systems.
IEEE Transactions on Artificial Intelligence,
7(6), 3083-3103.
https://doi.org/10.1109/TAI.2025.3636490
Zhao, X., Hosseinzadeh, M., Hudson, N., Khamfroush, H.
& Lucani Rötter, D. E. (2020).
Improving the Accuracy-Latency Trade-off of Edge-Cloud Computation Offloading for Deep Learning Services. I
2020 IEEE Globecom Workshops, GC Wkshps 2020 - Proceedings Artikel 367470 IEEE.
https://doi.org/10.1109/GCWkshps50303.2020.9367470,
https://doi.org/10.1109/GCWkshps50303.2020.9367470
Zhang, B., Yan, S., Li, B., Wu, S.
, Feng, H., Gao, X., Song, X. & Siddique, K. H. M. (2023).
Combining organic and chemical fertilizer plus water-saving system reduces environmental impacts and improves apple yield in rainfed apple orchards.
Agricultural Water Management,
288, Artikel 108482.
https://doi.org/10.1016/j.agwat.2023.108482Zhang, 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/10.1145/3701551.3703513Zhang, X., Wei, Q., Hu, B., Pan, L., Wu, C.
, Sørensen, C. A. G., Chen, Y. & Zhou, K. (2026).
Self-supervised multi-level trajectory representation model for field-road trajectory segmentation.
Engineering Applications of Artificial Intelligence,
172, Artikel 114378.
https://doi.org/10.1016/j.engappai.2026.114378Zelba, O., Wilderspin, S., Hubbard, A., Nellist, C. F.
, Mortensen, A. K., Schulz, P., Huerta-Espino, J., Singh, R.
& Sørensen, C. K. (2024).
The adult plant resistance (APR) genes Yr18, Yr29 and Yr46 in spring wheat showed significant effect against important yellow rust races under North-West European field conditions.
Euphytica,
220(7), Artikel 107.
https://doi.org/10.1007/s10681-024-03355-wZayed, Y. N. H., Kristoffersen, A. E., Lohm, G., Kamari, A. & Schultz, C. P. L. (2024).
The Anatomy of an Architect´s Argument: Formally Capturing Socially-Oriented Design Intentions in the Built Environment. I M. Srećković, M. Kassem, R. Soman & A. Chassiakos (red.),
Proceedings of the 2024 European Conference on Computing in Construction (s. 268-275)
https://doi.org/10.35490/EC3.2024.186
Zayed, Y. N. H., Kristoffersen, A. E., Lohm, G., Kamari, A. & Schultz, C. P. L. (2025).
A Formalization Framework for Integrating Social Design Intentions into Digital Building Models.
Sustainability,
17(17), Artikel 7739.
https://doi.org/10.3390/su17177739
Zattoni, M., Bontempi, L.
, Ringgaard, S., Luraghi, G.
, Benhassen, L. L., Johansen, P. & Colombo, M. (2026).
In silico modelling of aortic annuloplasty: hemodynamic assessment through in vitro experiments and in vivo MRI.
Computer Methods and Programs in Biomedicine,
277, Artikel 109246.
https://doi.org/10.1016/j.cmpb.2026.109246Zamm, A., Loehr, J. D.
, Vesper, C., Konvalinka, I.
, Kappel, S. L., Heggli, O. A., Vuust, P. & Keller, P. E. (2024).
A practical guide to EEG hyperscanning in joint action research: from motivation to implementation.
Social Cognitive and Affective Neuroscience,
19(1), Artikel nsae026.
https://doi.org/10.1093/scan/nsae026
Zamm, A., Kappel, S. L., Konvalinka, I., Debener, S.
& Kidmose, P. (2025).
Beyond dyadic joint action – How do larger groups synchronize actions?. Abstract fra Joint Action Meeting (JAM) X, Torino, Italien.
Zambrano, V., Mueller-Roemer, J.
, Sandberg, M., Talasila, P., Zanin, D.
, Larsen, P. G., Loeschner, E., Thronicke, W., Pietraroia, D., Landofi, G., Fontana, A., Laspalas, M., Antony, J., Poser, V., Kiss, T., Bergweiler, S., Pena Serna, S., Izquierdo, S., Viejo, I. ... Stork, A. (2022).
Industrial Digitalization in the Industry 4.0 era: Classification, Reuse and Authoring of Digital Models on Digital Twin Platforms.
Array,
14, Artikel 100176.
https://doi.org/10.1016/j.array.2022.100176Zamani, M., Rezaeiyan, Y., Huynh, H. A., Ronchini, M., Farkhani, H. & Moradi, F. (2021).
A 2.3-μW Capacitively Coupled Chopper-Stabilized Neural Amplifier with Input Impedance of 6.7 GΩ.
IEEE Solid-State Circuits Letters,
4, 133 - 136. Artikel 9471814.
https://doi.org/10.1109/LSSC.2021.3094237
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
Yuksel, O.
, Sandberg, M., Hattel, J. H., Akkerman, R. & Baran, I. (2021).
Mesoscale Process Modeling of a Thick Pultruded Composite with Variability in Fiber Volume Fraction.
Materials,
14(13), Artikel 3763.
https://doi.org/10.3390/ma14133763Yuan, Y., Zhao, C.
, Ronchini, M., Nishio, Y., Zhong, D., Wu, C., Kweon, H., Sun, Z., Mow, R. K., Shi, Y., Michalek, L., Wu, H., Liu, Q., Wang, W., Yao, Y., Yin, Z., Zhao, J., He, Z., Chen, K. ... Bao, Z. (2026).
A monolithic fabrication platform for intrinsically stretchable polymer transistors and complementary circuits.
Device,
4(8), Artikel 101204.
https://doi.org/10.1016/j.device.2026.101204Yildirim, 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.2023.110418Yeh, C. Y., Ghasempour, Y.
, Amarasinghe, Y., Mittleman, D. M. & Knightly, E. W. (2024).
Security and Angle-Frequency Coupling in Terahertz WLANs.
IEEE/ACM Transactions on Networking,
32(2), 1524-1539.
https://doi.org/10.1109/TNET.2023.3321641Yeh, Y.
, Kokkinis, G., Zhang, Q., Elayoubi, S. E. & Varma, V. S. (2026).
Predictive Hybrid Resource Scheduling for Haptic Traffic with Diffusion-Based Offline Reinforcement Learning. I
2026 24th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and WirelessNetworks, WiOpt 2026 IEEE.
https://doi.org/10.23919/WiOpt71098.2026.11568169
