Hudson, N., Khamfroush, H., Baughman, M.
, Lucani Rötter, D. E., Chard, K. & Foster, I. (2024).
QoS-aware edge AI placement and scheduling with multiple implementations in FaaS-based edge computing.
Future Generation Computer Systems,
157, 250-263.
https://doi.org/10.1016/j.future.2024.03.035
Kristensen, M. H., Bonizzi, A.
, Gomes, C., Hansen, S. T.
, Isasa Martin, C. I., Iven, H., Kamburjan, E.
, Larsen, P. G., Leucker, M.
, Talasila, P., Evans, V. T., Tonetta, S., Vosteen, L. B.
& Wright, T. D. (2024).
Runtime Verification of Autonomous Systems Utilizing Digital Twins as a Service. I
2024 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C) IEEE.
https://doi.org/10.1109/ACSOS-C63493.2024
Gomes, C., Lucani Rötter, D. E., Iosifidis, A., Feng, H., Ejersbo, H.
& Frasheri, M. (2024).
Sensing and Communication of Data from the Physical Twin. I J. Fitzgerald, C. Gomes & P. G. Larsen (red.),
The Engineering of Digital Twins (s. 147-171). Springer.
https://doi.org/10.1007/978-3-031-66719-0_7#citeas
Xu, J., Papangelis, K., Tigwell, G. W., LaLone, N.
, Zhou, P., Saker, M., Chamberlain, A., Dunham, J., Luna, S. M. & Schwartz, D. (2024).
Spatial Computing: Defining the Vision for the Future. I
CHI' 2024: Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Sytems Artikel 583 Association for Computing Machinery, Inc..
https://doi.org/10.1145/3613905.3643978
Frasheri, M., Katsaros, P.
, Iosifidis, A., Hansen, S. T., Gomes, C., Evans, V. T. & Larsen, P. G. (2024).
System Monitoring through a Digital Twin. I J. Fitzgerald, C. Gomes & P. G. Larsen (red.),
The Engineering of Digital Twins (s. 189-207). Springer.
https://doi.org/10.1007/978-3-031-66719-0_9
Hadi Mogavi, R., Son, J., Yang, S., Wang, D. M., Choong, L., Alhilal, A.
, Zhou, P. Y., Hui, P. & Nacke, L. E. (2024).
The Jade Gateway to Exergaming: How Socio-Cultural Factors Shape Exergaming Among East Asian Older Adults.
Proceedings of the ACM on Human-Computer Interaction,
8, Artikel 341.
https://doi.org/10.1145/3677106
Taurone, F., Dorsch, J.
, Lucani Rötter, D. E. & Zhang, Q. (2024).
triaGeD: using compression for anomaly detection. I A. Bilgin, J. E. Fowler, J. Serra-Sagrista, Y. Ye & J. A. Storer (red.),
Proceedings - DCC 2024: 2024 Data Compression Conference (s. 588-588). IEEE.
https://doi.org/10.1109/DCC58796.2024.00105
Andersen, M. N. (red.), Adamsen, A. P. S. (red.), Lærke, P. E., Ugilt Larsen, S., Jørgensen, U., Olesen, J. E., Manevski, K., Bay, S. S., Hutchings, N., Hansen, E. M., Munkholm, L. J., Børgesen, C. D., Thomsen, I. K., Elsgaard, L., Petersen, S. O., Toda, M., Ntinyari, W., Sørensen, P., Audet, J. ... Nielsen, H. M. (2024).
Virkemidler til reduktion af klimagasser i landbruget - 2024. DCA - Nationalt Center for Fødevarer og Jordbrug. DCA rapport Bind 2024 Nr. 227
https://dcapub.au.dk/djfpublikation/djfpdf/DCArapport227.pdf
Jacobsen, R. H., Matlekovic, L.
, Shi, L., Malle, N., Ayoub, N.
, Hageman, K., Hansen, S., Nyboe, F. F.
& Ebeid, E. (2023).
Design of an Autonomous Cooperative Drone Swarm for Inspections of Safety Critical Infrastructure.
Applied Sciences (Switzerland),
13(3), Artikel 1256.
https://doi.org/10.3390/app13031256
Kopler, I., Marchaim, U., Tikász, I. E., Opaliński, S., Kokin, E., Mallinger, K., Neubauer, T., Gunnarsson, S.
, Soerensen, C., Phillips, C. J. C. & Banhazi, T. (2023).
Farmers’ Perspectives of the Benefits and Risks in Precision Livestock Farming in the EU Pig and Poultry Sectors.
Animals,
13(18), Artikel 2868.
https://doi.org/10.3390/ani13182868
Yang, Y., Yang, R., Peng, H., Li, Y., Li, T., Liao, Y.
& Zhou, P. (2023).
FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection. I
WWW '23: Proceedings of the ACM Web Conference 2023 (s. 1314-1323). Association for Computing Machinery, Inc..
https://doi.org/10.1145/3543507.3583500
Han, B., Braud, T., Di Francesco, M., Gorlatova, M., Liu, L., Soros, G.
& Zhou, P. (2023).
Guest Editorial: Networking Challenges and Opportunities for Multi-UserXR and the Metaverse.
IEEE Network,
37(4), 10-11.
https://doi.org/10.1109/MNET.2023.10293246
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
Hui, P., Kangasharju, J., Braud, T., Lee, L. H.
& Zhou, P. (2023).
Message from MetaSys '23 Chairs. I
MetaSys '23: Proceedings of the First Workshop on Metaverse Systems and Applications (s. I). Association for Computing Machinery, Inc..
Zhou, P., Lee, L. H., Liu, Z., Qiu, H., Braud, T., Ding, A. Y., Tarkoma, S. & Hui, P. (2023).
Metaverse for Connected and Automated Vehicles and Intelligent Transportation Systems [From the Guest Editors].
IEEE Vehicular Technology Magazine,
18(4), 19-21.
https://doi.org/10.1109/MVT.2023.3333444
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
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.
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
Shatilov, K., Alhilal, A., Braud, T., Lee, L. H.
, Zhou, P. & Hui, P. (2023).
Players are not Ready 101: A Tutorial on Organising Mixed-mode Events in the Metaverse. I
MetaSys 2023 - Proceedings of the 1st Workshop on Metaverse Systems and Applications, Part of MobiSys 2023 (s. 14-20). Association for Computing Machinery, Inc..
https://doi.org/10.1145/3597063.3597360
Rafiei Foroushani, M., Tran, D. T.
& Iosifidis, A. (2023).
Recognition of Defective Mineral Wool Using Pruned ResNet Models. I H. Dorksen, S. Scanzio, J. Jasperneite, L. Wisniewski, K. F. Man, T. Sauter, L. Seno, H. Trsek & V. Vyatkin (red.),
2023 IEEE 21st International Conference on Industrial Informatics (INDIN) IEEE.
https://doi.org/10.1109/INDIN51400.2023.10217993