Rask, J. K., Madsen, F. P., Battle, N.
, Macedo, H. D. & Larsen, P. G. (2021).
Visual Studio Code VDM Support. I J. Fitzgerald, T. Oda & H. D. Macedo (red.),
Proceedings of the 18th International Overture Workshop (s. 35-50)
https://arxiv.org/pdf/2101.07261.pdf
Rask, J. K., Madsen, F. P., Battle, N., Freitas, L.
, Macedo, H. D. & Larsen, P. G. (2022).
Advanced VDM Support in Visual Studio Code. I H. D. Macedo & K. Pierce (red.),
Proceedings of the 20th International Overture Workshop (s. 34-49)
https://doi.org/10.48550/arXiv.2208.10233
Rouhi Ardeshiri, R.
, Gheisarnejad Chirani, M., Tavana, M. R., Vafamand, N.
& Khooban, M. H. (2022).
A robust intelligent controller-based motion control of a wheeled mobile robot.
Transactions of the Institute of Measurement and Control,
44(15), 2911-2918.
https://doi.org/10.1177/01423312221088389
Kulik, T., Dongol, B.
, Larsen, P. G., Macedo, H. D., Schnieder, S.
, Tran-Jørgensen, P. W. V. & Woodcock, J. (2022).
A Survey of Practical Formal Methods for Security.
Formal Aspects of Computing,
34(1), Artikel 3522582.
https://doi.org/10.1145/3522582
Böttjer, T., Ørnskov Rønsch, G.
, Gomes, C., Ramanujan, D., Iosifidis, A. & Larsen, P. G. (2022).
Data-Driven Identification of Remaining Useful Life for Plastic Injection Moulds. I A.-L. Andersen, R. Andersen, T. D. Brunoe, M. Stoettrup Schioenning Larsen, K. Nielsen, A. Napoleone & S. Kjeldgaard (red.),
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 (s. 431-439). Springer.
https://doi.org/10.1007/978-3-030-90700-6_49
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. I
Proceedings of the IASS 2022 Symposium affiliated with APCS 2022 conference: Innovation - Sustainability - Legacy (s. 1740-1748)
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 fra Lisbon addictions 2022, Lisabon, Portugal.
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. I A.-L. Andersen, R. Andersen, T. D. Brunoe, M. Stoettrup Schioenning Larsen, K. Nielsen, A. Napoleone & S. Kjeldgaard (red.),
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 (s. 224-232). Springer.
https://doi.org/10.1007/978-3-030-90700-6_25
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. I
Proceedings - 2022 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2022 (s. 53-54). IEEE.
https://doi.org/10.1109/ACSOSC56246.2022.00028
Gudjonsdottir, M. S., Audunsson, H., Donoso, A. M., Kristjansson, G., Saemundsdóttir, I., Foley, J. T., Kyas, M., Sripakagorn, A., Roslöf, J.
, Bennedsen, J., Edström, K., Kuptasthien, N. & Lyng, R. (2022).
Editorial.
Proceedings of the International CDIO Conference, iii-iv.
Schranz, T., Exenberger, J.
, Legaard, C. M., Drgona, J. & Schweiger, G. (2022).
Energy prediction under changed demand conditions: robust machine learning models and input feature combinations. I D. Saelens, J. Laverge, W. Boydens & L. Helsen (red.),
BS 2021 - Proceedings of Building Simulation 2021: 17th Conference of IBPSA (s. 3268 - 3275). International Building Performance Association (IBPSA).
https://doi.org/10.26868/25222708.2021.30806
Saleem, B., Badar, R., Manzoor, A., Judge, M. A.
, Boudjadar, J. & Islam, S. U. (2022).
Fully Adaptive Recurrent Neuro-Fuzzy Control for Power System Stability Enhancement in Multi Machine System.
IEEE Access,
10, 36464-36476.
https://doi.org/10.1109/ACCESS.2022.3164455
Larsen, P. G., Macedo, H. D., Fitzgerald, J., Pfeifer, H., Benedikt, M., Tonetta, S., Marguglio, A., Veneziano, G., Sutton, L., Gusmeroli, S. & Suciu, G. (2022).
HUBCAP: A Novel Collaborative Approach to Model-Based Design of Cyber-Physical Systems. I M. S. Obaidat, T. Oren & F. D. Rango (red.),
Simulation and Modeling Methodologies, Technologies and Applications. SIMULTECH 2020 (s. 90-110). Springer.
https://doi.org/10.1007/978-3-030-84811-8_5
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.2022.100176
Feng, H., Gomes, C., Gil Arboleda, S., Mikkelsen, P. H., Tola, D., Larsen, P. G. & Sandberg, M. (2022).
Integration Of The Mape-K Loop In Digital Twins. I C. R. Martin, N. Emami, M. J. Blas & R. Rezaee (red.),
Proceedings of the 2022 Annual Modeling and Simulation Conference, ANNSIM (s. 102-113). IEEE.
https://doi.org/10.23919/ANNSIM55834.2022.9859489
Kakavandi, F., de Reus, R.
, Gomes, C., Heidari, N., Iosifidis, A. & Larsen, P. G. (2022).
Product Quality Control in Assembly Machine under Data Restricted Settings. I
2022 IEEE 20th International Conference on Industrial Informatics, INDIN 2022 (s. 735-741). IEEE.
https://doi.org/10.1109/INDIN51773.2022.9976173
Mosayebi, M., Fathollahidehkordi, A., Gheisarnejad Chirani, M., Farsizadeh, H. & Khooban, M. H. (2022).
Smart Emergency EV-to-EV Portable Battery Charger.
Inventions,
7(2), Artikel 45.
https://doi.org/10.3390/inventions7020045
Malmqvist, J., Lundqvist, U., Rosén, A., Edström, K., Gupta, R., Leong, H., Cheah, S. M.
, Bennedsen, J., Hugo, R., Kamp, A., Leifler, O., Gunnarsson, S., Roslöf, J. & Spooner, D. (2022).
The CDIO Syllabus 3.0 - An Updated Statement of Goals. I
18th CDIO International Conference Proceedings - Full papers (s. 18-36)
https://en.ru.is/media/cdio2022/CDIO_2022_Proceedings.pdf