Publikationer fra instituttet

Under publikationsliste finder du en samlet liste over de publikationer, som er lavet af medarbejdere ved Institut for Elektro- og Computerteknologi.

Publikationsliste

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Griffiths, M. P., Grombacher, D., Kass, M. A., Vang, M., Liu, L. & Larsen, J. J. (2023). A surface NMR forward in a dot product. Geophysical Journal International, 234(3), 2284-2290. https://doi.org/10.1093/gji/ggad203

Griffiths, M. P., Grombacher, D., Mashhadi, S. R. & Larsen, J. J. (2024). Ground-Truth Validation of T₂ Estimates From Steady-State Surface NMR. Geophysical Research Letters, 51(24), Artikel e2024GL112094. https://doi.org/10.1029/2024GL112094

Griffiths, M., Grombacher, D., Kass, M. A., Liu, L., Vang, M. & Larsen, J. J. (2022). A Reformulated Surface Nmr Forward For Multi-Sequence Acquisitions. I 28th European Meeting of Environmental and Engineering Geophysics, Held at the Near Surface Geoscience Conference and Exhibition 2022, NSG 2022 European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.202220109

Griffiths, M. P., Grombacher, D., Mashhadi, S. R. & Larsen, J. J. (2024). Ground-truth Validation of T₂ Estimates from Steady-state Surface NMR. Abstract fra AGU Fall meeting 2024, Washington DC, USA.

Griffiths, M. P., Grombacher, D. & Larsen, J. J. (2024). Synthetic studies to investigate the ability of steady-state surface NMR to resolve T2. I NSG 2024 30th European Meeting of Environmental and Engineering Geophysics (s. 1-5). European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.202420092

Green, O., Juul Larsen, J., Kristensen, E. F., Nadimi, E. S., Jørgensen, J. R., Ibrahim, I. A. F. A. H., Bochtis, D. & Grøn Sørensen, C. (2010). Automated monitoring of variations of drying conditions in a seed drying facility. Poster-session præsenteret på World Congress of the International Commission of Agricultural Engineering (CIGR), Sustainable biosystems through engineering, Quebec, Canada. https://www.researchgate.net/publication/260600010_Automated_monitoring_of_variations_of_drying_conditions_in_a_seed_drying_facility

Green, O., Juul Larsen, J., Kristensen, E. F., Nadimi, E. S., Jørgensen, J. R., Ibrahim, I. A. F. A. H., Bochtis, D. & Grøn Sørensen, C. (2010). Automated monitoring of variations of drying conditions in a seed drying facility. Afhandling præsenteret på World Congress of the International Commission of Agricultural and Biosystems Engineering (CIGR), Sustainable Biosystems Through Engineering, Quebec City, Canada. http://bioeng.ca/publications/meetings-papers?sobi2Task=sobi2Details&catid=25&sobi2Id=387

Green, O., Juul Larsen, J., Kristensen, E. F., Nadimi, E. S., Jørgensen, J. R., Ibrahim, I. A. F. A. H., Bochtis, D. & Grøn Sørensen, C. (2010). Automated monitoring of variations of drying conditions in a seed drying facility. I P. Savoie, J. Villeneuve & R. Morisette (red.), XVIIth World Congress of the International Commission of Agricultural and Biosystems Engineering, Book of Abstracts (s. 214) https://www.researchgate.net/publication/260600010_Automated_monitoring_of_variations_of_drying_conditions_in_a_seed_drying_facility

Green, O., Lamandé, M., Schjønning, P., Sørensen, C. A. G. & Bochtis, D. (2011). Reducing the risk of soil compaction by applying "Jordværn Online"® when performing slurry distribution. Acta Agriculturae Scandinavica, Section B - Soil & Plant Science, 61(3), 209-213. https://doi.org/10.1080/09064710.2010.490535

Gravesen, K. B., Gardner, A. B., Ulsig, E. Z., Stanton, E. J., Hansen, M. T., Thomsen, S. T., Ahler, L. & Volet, N. (2024). Nonlinear Schrödinger equation for integrated photonics. Journal of the Optical Society of America B: Optical Physics, 41(6), 1451-1456. https://doi.org/10.1364/JOSAB.517190

Gong, H., Li, Q., Liu, Z., Zhou, H., Zhou, P. Y., Li, Z. & Li, J. (2025). Adaptive 3-D Gaussian Splatting Video Streaming. IEEE Network. Advance online publication. https://doi.org/10.1109/MNET.2025.3638049

Gonçalves Gomes, C. Â., Abbiati, G. & Larsen, P. G. (2021). Seismic Hybrid Testing using FMI-based Co-Simulation. I M. Sjölund, L. Buffoni, A. Pop & L. Ochel (red.), Proceedings of 14th Modelica Conference 2021, Linköping, Sweden, September 20-24, 2021 (s. 287-295) https://doi.org/10.3384/ecp21181287

Gonçalves Gomes, C. Â., Najafi, M., Sommer, T., Blesken, M., Zacharias, I., Kotte, O., Mai, P. R., Schuch, K., Wernersson, K., Bertsch, C., Blochwitz, T. & Junghanns, A. (2021). The FMI 3.0 Standard Interface for Clocked and Scheduled Simulations. I M. Sjölund, L. Buffoni, A. Pop & L. Ochel (red.), Proceedings of 14th Modelica Conference 2021, Linköping, Sweden, September 20-24, 2021 (s. 27-36) https://doi.org/10.3384/ecp2118127

Gomes Guerreiro, G. M., Martin, F., Yang, G. & Andresen, B. (2022). New pathways to future grid compliance for wind power plants. 115-121. https://doi.org/10.1049/icp.2022.2745

Gomes Guerreiro, G. M., Frank, M., Dreyer, T., Yang, G. & Andresen, B. (2024). Advancements on Grid Compliance in Wind Power: Component & Subsystem Testing, Software-/Hardware-in-the-Loop, and Digital Twins. IEEE Access, 12, 25949-25966. https://doi.org/10.1109/ACCESS.2024.3366091

Gomes, C., Franceschini, R., Battle, N., Thule, C., Lausdahl, K., Vangheluwe, H. & Larsen, P. G. (2020). Application of Model-Based Testing to Dynamic Evaluation of Functional Mockup Units. I Proceedings of the American Modelica Conference 2020 (s. 149-158). Linköping University Electronic Press. https://doi.org/10.3384/ecp20169149

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

Gomes, C., Oakes, B. J., Fitzgerald, J. & Larsen, P. G. (2024). Foundational Concepts for Digital Twins of Cyber-Physical Systems. I J. Fitzgerald, C. Gomes & P. G. Larsen (red.), The Engineering of Digital Twins (s. 45-63). Springer. https://doi.org/10.1007/978-3-031-66719-0_3

Gomes, C., Feng, H., Kazemi, Z. & Pierce, K. (2024). Calibration of Models for Digital Twins. I J. Fitzgerald, C. Gomes & P. G. Larsen (red.), The Engineering of Digital Twins (s. 129-146). Springer. https://doi.org/10.1007/978-3-031-66719-0_6

Gomes, C., Kristensen, M. H., Andersen, M. S., Talasila, P., Feng, H., Wright, T. & Larsen, P. G. (2025). Digital Twin Tutorial: The Incubator Case Study. I J. P. Bowen, C. Gomes & Z. Liu (red.), Engineering Trustworthy Software Systems - 6th International School, SETSS 2024, Tutorial Lectures (s. 68-101). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-96-4656-2_3

Glukhov, A., Bridarolli, D., Ricci, S., Li, R., Shreya, S., Farkhani, H., Moradi, F. & Ielmini, D. (2023). Compact Modeling of Resistive Switching Memory (RRAM) With Voltage and Temperature Dependences. I 2023 IEEE Nanotechnology Materials and Devices Conference (NMDC) (s. 793-797). IEEE. https://doi.org/10.1109/NMDC57951.2023.10343984

Gislum, R., Holst, N., Mortensen, A. K., Larsen, R., Andersen, M. N., Thomsen, I. K. & Hansen, E. M., (2022). Omregningsfaktor fra NDVI og NDRE til kg N optag/ha, Nr. 2022-0389751, 9 s., sep. 19, 2022. Rådgivningsnotat fra DCA - Nationalt Center for Fødevarer og Jordbrug

Gislum, R., Larsen, R., Thomsen, I. K., Greve, M. B., Hansen, E. M. & Nyholm Jørgensen, R., (2023). Betingelse for indsamling af data til brug for omregningsfaktor mellem NDV/NDRE og planteoptag af kvælstof, Nr. 2023-0543874, 8 s., aug. 23, 2023. Rådgivningsnotat fra DCA - Nationalt Center for Fødevarer og Jordbrug

Gil Arboleda, S., Zapata-Madrigal, G. D., García-Sierra, R. & Cruz Salazar, L. A. (2022). Converging IoT protocols for the data integration of automation systems in the electrical industry. Journal of Electrical Systems and Information Technology, 9(1), 1-21. Artikel 1. https://doi.org/10.1186/s43067-022-00043-4

Gil Arboleda, S., Mikkelsen, P. H., Gomes, C. & Larsen, P. G. (2024). Survey on open-source digital twin frameworks–A case study approach. Software: Practice and Experience, 54(6), 929-960. https://doi.org/10.1002/spe.3305

Gil Arboleda, S., Mikkelsen, P. H., Tola, D., Schou, C. & Larsen, P. G. (2023). A Modeling Approach for Composed Digital Twins in Cooperative Systems. I 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation, ETFA 2023 (s. 1-8). IEEE. https://doi.org/10.1109/ETFA54631.2023.10275601

Gil Arboleda, S., Schou, C., Mikkelsen, P. H. & Larsen, P. G. (2024). Integrating Skills into Digital Twins in Cooperative Systems. I 2024 IEEE/SICE International Symposium on System Integration (SII) (s. 1124-1131). IEEE. https://doi.org/10.1109/SII58957.2024.10417610

Gil Arboleda, S., Oakes, B. J., Gomes, C., Frasheri, M. & Larsen, P. G. (2025). Toward a systematic reporting framework for Digital Twins: a cooperative robotics case study. Simulation, 101(3), 313-339. https://doi.org/10.1177/00375497241261406

Gil Arboleda, S., Kamburjan, E., Talasila, P. & Larsen, P. G. (2025). An architecture for coupled digital twins with semantic lifting. Software and Systems Modeling, 24(5), 1379-1404. https://doi.org/10.1007/s10270-024-01221-w

Gil Arboleda, S. (2024). Towards realization of Digital Twins for systems with coupled behavior. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus University. https://doi.org/10.7146/aul.545

Gil Arboleda, S., Badyal, A., Miyazawa, A., Larsen, P. G. & Cavalcanti, A. (2026). A model-based approach for co-simulation-driven digital twins in robotics. Robotics and Autonomous Systems, 196, 1-20. Artikel 105240. https://doi.org/10.1016/j.robot.2025.105240

Gil, S., Baş, E. E., Jensen, C. D., Engelsgaard, S., Abbiati, G. & Gomes, C. (2025). FMI-Based Distributed Co-Simulation with Enhanced Security and Intellectual Property Safeguards. (1 udg.) (s. 198-203).

Gheisarnejad Chirani, M., Khooban, M. H. & Boudjadar, J. (2019). Adaptive Network Based Fuzzy Inference System for Frequency Regulation in Modern Maritime Power Systems. Afhandling præsenteret på IEEE 5th International Forum on Research and Technology for Society and Industry, Firenze, Italien. https://doi.org/10.1109/RTSI.2019.8895596

Gheisarnejad Chirani, M. & Khooban, M. H. (2021). Multi-microgrids with a Frequency Regulation-Based V2G Technology: Systems Analysis, Modeling, and Control. I Design, Control, and Operation of Microgrids in Smart Grids: Power Systems (s. 1-26). Springer. https://doi.org/10.1007/978-3-030-64631-8_1

Gheisarnejad Chirani, M., Mohammadzadeh, A., Farsizadeh, H. & Khooban, M. H. (2022). Stabilization of 5G telecom Converter-Based Deep Type-3 Fuzzy Machine Learning Control for Telecom Applications. IEEE Transactions on Circuits and Systems II: Express Briefs, 69(2), 544-548. https://doi.org/10.1109/TCSII.2021.3102282

Gheisarnejad Chirani, M., Sharifzadeh, M., Khooban, M. H. & Al-Haddad, K. (2021). A Robust Ultra-Local Model Control with DC Capacitor Voltage-Balancing for PEC9 Inverter. I 2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings (s. 2601-2606). IEEE. https://doi.org/10.1109/ECCE47101.2021.9595329

Gheisarnejad Chirani, M., Mohammadzadeh, A. & Khooban, M. H. (2022). Model Predictive Control-Based Type-3 Fuzzy Estimator for Voltage Stabilization of DC Power Converters. IEEE Transactions on Industrial Electronics, 69(12), 13849-13858. https://doi.org/10.1109/TIE.2021.3134052

Gheisarnejad Chirani, M., Sharifzadeh, M., Khooban, M. H. & Al-Haddad, K. (2023). Adaptive Fuzzy Q-Learning Control Design and Application to Grid-Tied Nine-level Packed E-Cell (PEC9) Inverter. IEEE Transactions on Industrial Electronics, 70(1), 1071-1076. https://doi.org/10.1109/TIE.2022.3153803

Gheisarnejad Chirani, M., Mirzavand, G., Rouhi Ardeshiri, R., Andresen, B. & Khooban, M. H. (2023). Adaptive Speed Control of Electric Vehicles Based on Multi-Agent Fuzzy Q-Learning. IEEE Transactions on Emerging Topics in Computational Intelligence, 7(1), 102-110. https://doi.org/10.1109/TETCI.2022.3181159

Gheisarnejad Chirani, M., Akhbari, A., Rahimi, M., Andresen, B. & Khooban, M. H. (2022). Reducing Impact of Constant Power Loads on DC Energy Systems by Artificial Intelligence. IEEE Transactions on Circuits and Systems II: Express Briefs, 69(12), 4974-4978. https://doi.org/10.1109/TCSII.2022.3194271

Gheisarnejad Chirani, M. & Khooban, M. H. (2023). Quantum Deep Learning for Fast Switching of Full-Bridge Power Converters. Designs, 7(3), Artikel 60. https://doi.org/10.3390/designs7030060

Gheisarnejad Chirani, M., Mosayebi, M., Rafiei Foroushani, M., Boudjadar, J. & Khooban, M. H. (2023). Hybrid Power Systems for Smart Marine Power Grids: Demonstration and Case Study. I Electric Transportation Systems in Smart Power Grids (s. 473-492). CRC Press. https://doi.org/10.1201/9781003293989

Gheisarnejad Chirani, M., Sharifzadeh, M., S. Sadabadi , M., Portillo, R., Khooban, M. H., Franquelo, L. G. & Al-Haddad, K. (2024). Design of Ultra-Local Model Control Based on Interval Type-2 Fuzzy Logic for Nine-Level Packed E-Cell. IEEE Journal of Emerging and Selected Topics in Industrial Electronics, 5(1), 72-80. https://doi.org/10.1109/JESTIE.2023.3310404

Gheisarnejad Chirani, M. & Khooban, M. H. (2023). Quantum Power Electronics: From Theory to Implementation. ArXiv. https://doi.org/10.48550/arXiv.2303.04763

Gheisarnejad, M., Farsizadeh, H., Tavana, M. R. & Khooban, M. H. (2021). A Novel Deep Learning Controller for DC/DC Buck-Boost Converters in Wireless Power Transfer Feeding CPLs. IEEE Transactions on Industrial Electronics, 68(7), 6379-6384. https://doi.org/10.1109/TIE.2020.2994866

Gheisarnejad, M., Farsizadeh, H. & Khooban, M. H. (2021). A Novel Nonlinear Deep Reinforcement Learning Controller for DC–DC Power Buck Converters. IEEE Transactions on Industrial Electronics, 68(8), 6849-6858. https://doi.org/10.1109/TIE.2020.3005071

Gheisarnejad, M., Fathollahi, A., Sharifzadeh, M., Laurendeau, E. & Al-Haddad, K. (2025). Data-Driven Switching Control Technique Based on Deep Reinforcement Learning for Packed E-Cell as Smart EV Charger. IEEE Transactions on Transportation Electrification, 11(1), 3194-3203. https://doi.org/10.1109/TTE.2024.3435763

Gheisarnejad, M., Fathollahi, A., Sharifzadeh, M., Laurendeau, E., Andresen, B. & Al-Haddad, K. (2025). Optimal Policy Gradient Based Type-2 Fuzzy Control for Multi-DC Terminal PEC Converter in 5G-Based Commercial Buildings. IEEE Journal of Emerging and Selected Topics in Power Electronics, 13(4), 5149-5161. https://doi.org/10.1109/JESTPE.2025.3573043

Ghassabi, K., Pahlevani, P. & Lucani Rötter, D. E. (2023). Deduplication of Textual Data by NLP Approaches. I 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring) IEEE. https://doi.org/10.1109/VTC2023-Spring57618.2023.10199538

Ghanatian Najafabadi, H., Ronchini, M., Farkhani, H. & Moradi, F. (2022). STDP implementation using multi-state spin-orbit torque synapse. Semiconductor Science and Technology, 37(2), Artikel 024004. https://doi.org/10.1088/1361-6641/ac419c

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