Mohammadi Moghadam, H.
, Gheisarnejad Chirani, M., Yalsavar, M., Foroozan, H.
& Khooban, M. H. (2021).
A Novel Nonsingular Terminal Sliding Mode Control-Based Double Interval Type-2 Fuzzy Systems: Real-Time Implementation.
Inventions,
6(2), Article 40.
https://doi.org/10.3390/inventions6020040
Larsen, J. J., Griffiths, M., Vang, M., Liu, L. & Grombacher, D. (2021).
Apsu - A compact surface NMR instrument for groundwater investigations.
SEG Technical Program Expanded Abstracts,
2021-September, 3135-3139.
https://doi.org/10.1190/segam2021-3582046.1
Andalibi, M.
, Hajihosseini, M., Teymoori, S., Kargar, M. & Gheisarnejad, M. (2021).
A Time-Varying Deep Reinforcement Model Predictive Control for DC Power Converter Systems. In S. K. Mazumder, J. C. Balda, L. He, J. Liu & A. Gupta (Eds.),
2021 IEEE 12th International Symposium on Power Electronics for Distributed Generation Systems (PEDG) (pp. 1-6). IEEE.
https://doi.org/10.1109/PEDG51384.2021.9494214
Legaard, C. M., Tola, D., Schranz, T.
, Macedo, H. D. & Larsen, P. G. (2021).
A Universal Mechanism for Implementing Functional Mock-up Units. In G. Wagner, F. Werner, T. I. Ören & F. D. Rango (Eds.),
Proceedings of the 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2021, Online Streaming, July 7-9, 2021 (pp. 121-129). SCITEPRESS Digital Library.
https://doi.org/10.5220/0010577601210129
Nguyen, A. Q., Nguyen, H. T., Tran, V. C.
, Pham, H. X. & Pestana, J. (2021).
A Visual Real-time Fire Detection using Single Shot MultiBox Detector for UAV-based Fire Surveillance. In S. Bahk, P. Tran-Gia, J. Van der Spiegel & N. X. Quynh (Eds.),
2020 IEEE Eighth International Conference on Communications and Electronics (ICCE) (pp. 338-343). IEEE.
https://doi.org/10.1109/ICCE48956.2021.9352080
Robinson, C., Bagnato, A., Pastrone, C., Weyer, T., Popov, P.
, Macedo, H. D., Sassanelli, C.
, Larsen, P. G., Luz, C. H., Henshaw, M., Buron, C., Akerkar, R. & Györffi, M. (2021).
Bridging the stakeholder communities that produce cyber-physical systems. In M. D. E. al (Ed.),
HiPEAC Vision 2021: High performance embedded architecture and compilation (pp. 20-29). HiPEAC.
https://www.hipeac.net/vision/2021/
Dyrmann, M., Mortensen, A. K., Linneberg, L.
, Høye, T. T. & Bjerge, K. (2021).
Camera Assisted Roadside Monitoring for Invasive Alien Plant Species Using Deep Learning.
Sensors (Switzerland),
21(18), Article 6126.
https://doi.org/10.3390/s21186126
Licklederer, T., Zinsmeister, D., Elizarov, I.
, Perić, V. & Tzscheutschler, P. (2021).
Characteristics and challenges in prosumer-dominated thermal networks.
Journal of Physics: Conference Series,
2042(1), Article 012039.
https://doi.org/10.1088/1742-6596/2042/1/012039
Falay, B., Wilfling, S., Alfalouji, Q., Exenberger, J., Schranz, T.
, Legaard, C. M., Leusbrock, I. & Schweiger, G. (2021).
Coupling physical and machine learning models: case study of a single-family house. In
Proceedings of 14th Modelica Conference 2021 (pp. 335-341)
https://doi.org/10.3384/ecp21181335
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.
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 8th Changeable, Agile, Reconfigurable and Virtual Production Conference CARV 2021 and 10th World Mass Customization and Personalization Conference MCPC 2021 (pp. 431-439). Springer.
https://doi.org/10.1007/978-3-030-90700-6_49
Zavodovski, A., Corneo, L., Johnsson, A., Mohan, N., Bayhan, S.
, Zhou, P., Wong, W. & Kangasharju, J. (2021).
Decentralizing Computation with Edge Computing: Potential and Challenges. In
IWCI 2021 - Proceedings of the 2021 ACM CoNEXT Interdisciplinary Workshop on (de)Centralization in the Internet, Part of ACM CoNEXT 2021 (pp. 34-36). Association for Computing Machinery, Inc..
https://doi.org/10.1145/3488663.3493689
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..
https://doi.org/10.1109/EMBC46164.2021.9630958
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
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.),
9th International Workshop on Simulation for Energy, Sustainable Development and Environment, SESDE 2021 (pp. 18-26)
https://doi.org/10.46354/i3m.2021.sesde.003
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, Article 107231.
https://doi.org/10.1016/j.compchemeng.2021.107231
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
Companion Proceedings - 24th International Conference on Model-Driven Engineering Languages and Systems, MODELS-C 2021 (pp. 286-295). IEEE.
https://doi.org/10.1109/MODELS-C53483.2021.00050
Esterle, L., Gomes, C., Frasheri, M., Ejersbo, H., Tomforde, S.
& Larsen, P. G. (2021).
Digital twins for collaboration and self-integration. In
Proceedings - 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2021 (pp. 172-177). IEEE.
https://doi.org/10.1109/ACSOS-C52956.2021.00040