Frasheri, M., Thule, C., Macedo, H. D., Lausdahl, K., Larsen, P. G. & Esterle, L. (2021).
Fault Injecting Co-simulations for Safety. 6-13. Paper presented at 5th International Conference on System Reliability and Safety, Palermo, Italy.
https://doi.org/10.1109/ICSRS53853.2021.9660728
Ruf, F., Faurby, C. F. D., Paesani, S., Wang, Y.
, Nielsen, L., Midolo, L.
, Volet, N. & Heck, M. (2022).
Fast All-Optical Switches in Si3N4 Photonic Integrated Circuits for Single-Photon Routing. Poster session presented at National Optics Congress, Aarhus, Denmark.
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), Article 2868.
https://doi.org/10.3390/ani13182868
Honoré, J. T., Rask, R. D.
& Wagner, S. R. (2023).
Fall Detection Combining Android Accelerometer and Step Counting Virtual Sensors. In G. A. Papadopoulos, A. Achilleos, E. Pissaloux & R. Velázquez (Eds.),
ICT for Health, Accessibility and Wellbeing - 2nd International Conference, IHAW 2022, Revised Selected Papers (pp. 3-16). Springer.
https://doi.org/10.1007/978-3-031-29548-5_1
Banhazi, T., Banhazi, A., Tikasz, I. E., Palotay, S., Mallimger, K., Neubauer, T., Corpaci, L., Marchaim, U., Kopler, I., Opalinski, S., Olejnik, K., Kokin, E., Gunnarsson, S., Bjerre, T.
& Soerensen, C. (2024).
Facilitating PLF Technology Adoption in the Pig and Poultry Industries.
Studies in Agricultural Economics,
126(1), 43-49.
https://doi.org/10.7896/j.2725
Kulik, T., Talasila, P., Greco, P., Veneziano, G., Marguglio, A., Sutton, L. F.
, Larsen, P. G. & Macedo, H. D. (2021).
Extending the Formal Security Analysis of the HUBCAP sandbox. In H. D. Macedo, C. Thule & K. Pierce (Eds.),
Proceedings of the 19th International Overture Workshop (pp. 36-50)
https://arxiv.org/abs/2110.09371
Sepehrzad, R., Ghafourian, J., Hedayatnia, A., Al-Durrad, A.
& Khooban, M. H. (2023).
Experimental and developed DC microgrid energy management integrated with battery energy storage based on multiple dynamic matrix model predictive control.
Journal of Energy Storage,
74(Part A), Article 109282.
https://doi.org/10.1016/j.est.2023.109282
Oakes, B. J.
, Gomes, C., Larsen, P. G., Denil, J., Deantoni, J., Cambeiro, J. & Fitzgerald, J. (2023).
Examining Model Qualities and Their Impact on Digital Twins. In M. J. Blas & G. Alvarez (Eds.),
2023 Annual Modeling and Simulation Conference (ANNSIM) (pp. 220-232). IEEE.
https://ieeexplore.ieee.org/document/10155350
Sadat Parvini, T., Paz, E., Böhnert, T., Schulman, A., Benetti, L., Oberbauer, F., Walowski, J.
, Moradi, F., Ferreira, R. & Münzenberg, M. (2023).
Enhancing spin-transfer torque in magnetic tunnel junction devices: Exploring the influence of capping layer materials and thickness on device characteristics.
Journal of Applied Physics,
133(24), Article 243902.
https://doi.org/10.1063/5.0151480
Boersma, S., Bombois, X., Vanfretti, L.
, Peric, V., Gonzalez-Torres, J. C., Segur, R. & Benchaib, A. (2020).
Enhanced Power System Damping Estimation via Optimal Probing Signal Design. In
2020 22nd European Conference on Power Electronics and Applications, EPE 2020 ECCE Europe Article 9215892 Institute of Electrical and Electronics Engineers Inc..
https://doi.org/10.23919/EPE20ECCEEurope43536.2020.9215892
Zhou, P., Zhang, W., Braud, T., Hui, P. & Kangasharju, J. (2019).
Enhanced augmented reality applications in vehicle-to-edge networks. In A. Galis, R. Noldus, F. Idzikowski, F. Guillemin, S. Secci & M. F. Sayit (Eds.),
Proceedings of the 2019 22nd Conference on Innovation in Clouds, Internet and Networks and Workshops, ICIN 2019 (pp. 167-174). Article 8685872 Institute of Electrical and Electronics Engineers Inc..
https://doi.org/10.1109/ICIN.2019.8685872
Mutarraf, M. U., Terriche, Y., Niazi, K. A. K., Vasquez, J. C. & Guerrero, J. M. (2018).
Energy storage systems for shipboard microgrids—A review.
Energies,
11(12), Article 3492.
https://doi.org/10.3390/en11123492
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. In D. Saelens, J. Laverge, W. Boydens & L. Helsen (Eds.),
BS 2021 - Proceedings of Building Simulation 2021: 17th Conference of IBPSA (pp. 3268 - 3275). International Building Performance Association (IBPSA).
https://doi.org/10.26868/25222708.2021.30806
Larsen, P. G., Soulioti, G.
, Macedo, H. D., Alifragkis, V., Fitzgerald, J., Livanos, N., Pfeifer, H., Pasquinelli, M., Benedict, M.
, Thule, C., Tonetta, S., Stritzelberger, B., Marguglio, A., Sutton, L. F., Obstbaum, M., Gusmeroli, S., Beutenmüller, F., Jr., G. S., Wijnands, Q.
& Talasila, P. (2020).
Enabling Combining Models and Tools in an Online MBSE Collaboration Platform. In
Model Based Space Systems and Software Engineering (MBSE2020) https://indico.esa.int/event/329/attachments/3868/5508/Abstracts_combined.pdf