Esterle, L., Gomes, C., Frasheri, M., Ejersbo, H., Tomforde, S.
& Larsen, P. G. (2021).
Digital twins for collaboration and self-integration. In
2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C) (pp. 172-177). IEEE.
https://doi.org/10.1109/ACSOS-C52956.2021.00040
Naseri, F., Gil Arboleda, S., Barbu, C., Cetkin, E., Yarimca, G., Jensen, A. C.
, Larsen, P. G. & Gomes, C. (2023).
Digital twin of electric vehicle battery systems: Comprehensive review of the use cases, requirements, and platforms.
Renewable and Sustainable Energy Reviews,
179, [113280].
https://doi.org/10.1016/j.rser.2023.113280
Esterle, L., Ejersbo, H., Frasheri, M., Gomes, C., Macedo, H. D. & Larsen, P. G. (2022).
Digital Twins for Autonomous Intelligent Systems: From Development to Deployment. In
2022 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C) (pp. 53-54). IEEE.
https://doi.org/10.1109/ACSOSC56246.2022.00028
Talasila, P., Gomes, C., Mikkelsen, P. H., Arboleda, S. G., Kamburjan, E.
& Larsen, P. G. (2023).
Digital Twin as a Service (DTaaS): A Platform for Digital Twin Developers and Users.
Feng, H., Gomes, C., Sandberg, M., Thule, C., Lausdahl, K. & Larsen, P. G. (2021).
Developing a Physical and Digital Twin: An Example Process Model. In
2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C) (pp. 286-295). IEEE.
https://doi.org/10.1109/MODELS-C53483.2021.00050
Musaeus, C. S., Frederiksen, K. S., Andersen, B. B., Høgh, P.
, Kidmose, P., Fabricius, M., Hribljan, M. C., Hemmsen, M. C., Rank, M. L., Waldemar, G. & Kjær, T. W. (2023).
Detection of subclinical epileptiform discharges in Alzheimer's disease using long-term outpatient EEG monitoring.
Neurobiology of Disease,
183, [106149].
https://doi.org/10.1016/j.nbd.2023.106149
Chen, Q., Lang, X., Lu, S.
, Rehman, N. U., Xie, L. & Su, H. (2021).
Detection and root cause analysis of multiple plant-wide oscillations using multivariate nonlinear chirp mode decomposition and multivariate Granger causality.
Computers and Chemical Engineering,
147, [107231].
https://doi.org/10.1016/j.compchemeng.2021.107231
Leporowski, B. T., Tola, D., Hansen, C.
& Iosifidis, A. (2022).
Detecting Faults during Automatic Screwdriving: A Dataset and Use Case of Anomaly Detection for Automatic Screwdriving. In A-L. Andersen, R. Andersen, T. D. Brunoe, M. Stoettrup Schioenning Larsen, K. Nielsen, A. Napoleone & S. Kjeldgaard (Eds.),
Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems - Proceedings of the 8th Changeable, Agile, Reconfigurable and Virtual Production Conference CARV 2021 and 10th World Mass Customization and Personalization Conference MCPC 2021 (pp. 224-232). Springer. Lecture Notes in Mechanical Engineering
https://doi.org/10.1007/978-3-030-90700-6_25
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), [1256].
https://doi.org/10.3390/app13031256
Ruf, F., Faurby, C. F. D., Paesani, S., Wang, Y.
, Nielsen, L., Midolo, L.
, Volet, N. & Heck, M. (2022).
Design of Fast All-Optical Switches in Si3N4 Photonic Integrated Circuits for Single-Photon Routing. Poster session presented at Frontiers in Optics + Laser Science, Rochester, New York, United States.
https://www.frontiersinoptics.com/home/eposters/poster/?id=3794843
del Palacio Gonzalez, A., Thylstrup, B., Pedersen, M. U., Danielsen, B., Kirk, H. B. & Jensen, K. L. (2022).
Design and Testing of an Aftercare Mobile App for Substance Use Among Young Adults: An Interdisicplinary Approach in Denmark. Abstract from Lisbon addictions 2022, Lisabon, Portugal.
Badicu, A., Iordache, G., Suciu, G.
, Macedo, H. D., Sassanelli, C., Terzi, S.
& Larsen, P. G. (2021).
Deploying the Smart Energy Tool for Investment Simulation inside the HUBCAP Sandbox. In A. G. Bruzzone, J. S. Janosy, L. Nicoletti & G. Zacharewicz (Eds.),
Proceedings of the 9th International Workshop on Simulation for Energy, Sustainable Development & Environment (SESDE 2021) (pp. 18-26)
https://doi.org/10.46354/i3m.2021.sesde.003
Gu, X., Wang, X., Feng, Y., Long, Y., Mukherjee, M., Pan, Z., Guo, M.
& Zhang, Q. (2022).
Demo: TINGLE: Pushing Edge Intelligence in Synchronization and Useful Data Transfer for Human-Robotic Arm Interactions. In
INFOCOM WKSHPS 2022 - IEEE Conference on Computer Communications Workshops IEEE.
https://doi.org/10.1109/INFOCOMWKSHPS54753.2022.9798353
Mukherjee, M., Kumar, V., Maity, D., Matam, R., Mavromoustakis, C. X.
, Zhang, Q. & Mastorakis, G. (2020).
Delay-sensitive and Priority-aware Task Offloading for Edge Computing-assisted Healthcare Services. Paper presented at 2020 IEEE Global Communications Conference, Taipei, Taiwan.
https://globecom2020.ieee-globecom.org/program/symposia-thursday#S1569589216
Li, B., Schultz, C. P. L., Dimyadi, J. & Amor, R. (2021).
Defeasible reasoning for automated building code compliance checking. In V. Semenov & R. J. Scherer (Eds.),
ECPPM 2021 – eWork and eBusiness in Architecture, Engineering and Construction: Proceedings of the 13th European Conference on Product & Process Modelling (ECPPM 2021), 15-17 September 2021, Moscow, Russia (pp. 229-236). CRC Press.
https://doi.org/10.1201/9781003191476
Hudert, M. M., Elvebakken, M. F., Meagher, M.
, Mangliar, L., Zhang, X. & Esterle, L. (2022).
Deep learning enhanced robotic fabrication of timber-to-timber connections with densified hardwood nails. In
Proceedings of the IASS 2022 Symposium affiliated with APCS 2022 conference: Innovation - Sustainability - Legacy (pp. 1740-1748)
Pradeepkumar, J., Anandakumar, M., Kugathasan, V., Lalitharatne, T. D., De Silva, A. C.
& Kappel, S. L. (2021).
Decoding of Hand Gestures from Electrocorticography with LSTM Based Deep Neural Network. In
43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021 (pp. 420-423). Institute of Electrical and Electronics Engineers Inc.. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
https://doi.org/10.1109/EMBC46164.2021.9630958
Foldager, L., Kaiser, M. Ø., Chen, G., Jensen, L. D., Kristensen, J. K., Kobek-Kjeldager, C., Thodberg, K., Rong, L. & Herskin, M. S. (2022).
Deck height during transport of weaners – piglet height and microclimatic conditions inside trucks. 129-142. Abstract from Symposium i Anvendt Statistik 2022, København, Denmark.
Foldager, L., Kaiser, M., Chen, G., Jensen, L. D., Kristensen, J. K., Kobek-Kjeldager, C., Thodberg, K., Rong, L. & Herskin, M. S. (2022).
Deck height during transport of weaners – piglet height and microclimatic conditions inside trucks. In
Book of Abstracts of the 73rd Annual Meeting of the European Federation of Animal Science (pp. 181-181). Wageningen Academic Publishers. EAAP Book of Abstracts Vol. 28
https://doi.org/10.3920/978-90-8686-937-4
Foldager, L., Kaiser, M. Ø., Chen, G., Jensen, L. D., Kristensen, J. K., Kobek-Kjeldager, C., Thodberg, K., Rong, L. & Herskin, M. S. (2022).
Deck height during transport of weaners – piglet height and microclimatic conditions inside trucks. In P. Linde (Ed.),
Symposium i anvendt statistik (pp. 129-142). SEGES Innovation.
http://www.statistiksymposium.dk/Symposium%202022_Web.pdf
Böttjer, T., Ørnskov Rønsch, G.
, Gonçalves Gomes, C. Â., Ramanujan, D., Iosifidis, A. & Larsen, P. G. (2021).
Data-Driven Identification of Remaining Useful Life for Plastic Injection Moulds. In A-L. Andersen, R. Andersen, D. Brunoe, M. Stoettrup Schioenning Larsen, K. Nielsen, A. Napoleone & S. Kjeldgaard (Eds.),
Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems: Proceedings of the Changeable, Agile, Reconfigurable and Virtual Production Conference and the World Mass Customization & Personalization Conference (pp. 431-439). Springer. Lecture Notes in Mechanical Engineering
https://www.springerprofessional.de/en/data-driven-identification-of-remaining-useful-life-for-plastic-/19816878
Böttjer, T., Ørnskov Rønsch, G.
, Gomes, C., Ramanujan, D., Iosifidis, A. & Larsen, P. G. (2021).
Data-Driven Identification of Remaining Useful Life for Plastic Injection Moulds. In A-L. Andersen, R. Andersen, T. D. Brunoe, M. Stoettrup Schioenning Larsen, K. Nielsen, A. Napoleone & S. Kjeldgaard (Eds.),
Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems: Proceedings
of the Changeable, Agile, Reconfigurable and Virtual Production
Conference and the World Mass Customization & Personalization
Conference (pp. 431-439). Springer. Lecture Notes in Mechanical Engineering
https://doi.org/10.1007/978-3-030-90700-6_49
Asif, M. R., Foged, N., Bording, T. S., Larsen, J. J. & Christiansen, A. V. (2023).
DL-RMD: a geophysically constrained electromagnetic resistivity model database for deep learning applications.
Earth System Science Data,
15(3), 1389-1401.
https://doi.org/10.5194/essd-2022-345,
https://doi.org/10.5194/essd-15-1389-2023
Nhut, T. D., Bonen, S., Cooke, G., Jager, T.
, Spasaro, M., Sufra, D., Voinigescu, S. P.
& Zito, D. (2022).
Cryogenic Compact mm-Wave Broadband SPST Switch in 22nm FDSOI CMOS for Monolithic Quantum Processors. In
2022 IEEE/MTT-S International Microwave Symposium, IMS 2022 (pp. 168-171). IEEE.
https://doi.org/10.1109/IMS37962.2022.9865577