Publikationer fra instituttet

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

Instituttet udgiver også tekniske rapporter, som du kan læse mere om under Tekniske rapporter.

Under ph.d.-afhandlinger finder du instituttets publicerede ph.d.-afhandlinger.

Publikationsliste

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Dong, Z., Li, N., Iosifidis, A. & Zhang, Q. (2022). Design and Prototyping Distributed CNN Inference Acceleration in Edge Computing. ArXiv. https://doi.org/10.48550/arXiv.2211.13778

Dong, L., Yang, W., Wen, L., Zhao, X., Claus, A. G. S., Wu, C. & Zhou, K. (2024). Continuous curvature wayline generation using quadratic optimisation for agricultural machine guidance. Biosystems Engineering, 238, 22-37. https://doi.org/10.1016/j.biosystemseng.2023.12.009

Domini, D., Aguzzi, G., Esterle, L. & Viroli, M. (2024). Field-Based Coordination for Federated Learning. I I. Castellani & F. Tiezzi (red.), Coordination Models and Languages - 26th IFIP WG 6.1 International Conference, COORDINATION 2024, Held as Part of the 19th International Federated Conference on Distributed Computing Techniques, DisCoTec 2024, Proceedings (s. 56-74). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-62697-5_4

Dobbs, A. M., Ginn, D., Skovsen, S. K., Bagavathiannan, M. V., Mirsky, S. B., Reberg-Horton, C. S. & Leon, R. G. (2022). New directions in weed management and research using 3D imaging. Weed Science, 70(6), 641-647. https://doi.org/10.1017/wsc.2022.56

Dobbs, A. M., Ginn, D., Skovsen, S. K., Yadav, R., Jha, P., Bagavathiannan, M. V., Mirsky, S. B., Reberg-Horton, C. S. & Leon, R. G. (2023). Using structure-from-motion to estimate cover crop biomass and characterize canopy structure. Field Crops Research, 302, Artikel 109099. https://doi.org/10.1016/j.fcr.2023.109099

Dobbs, A. M., Goldsmith, A. S., Ginn, D., Skovsen, S. K., Bagavathiannan, M. V., Mirsky, S. B., Reberg-Horton, C. S. & Leon, R. G. (2024). Mapping predicted biomass in cereal rye using 3D imaging and geostatistics. Weed Science, 72(5), 553-561. https://doi.org/10.1017/wsc.2024.62

Doan Nhut, T. & Zito, D. (2023). A Compact DC-110GHz SPST Switch in 22nm FDSOI CMOS. IEEE Transactions on Circuits and Systems II: Express Briefs, 70(10), 3812-3816. https://doi.org/10.1109/TCSII.2023.3291081

D'Inverno, G. A., Moradizadeh, S., Salavatidezfouli, S., Africa, P. C. & Rozza, G. (2025). Mesh-informed Reduced Order Models for aneurysm rupture risk prediction. Journal of Computational and Applied Mathematics, 470, Artikel 116727. https://doi.org/10.1016/j.cam.2025.116727

Ding, Y., Zhang, S., Fan, B., Sun, W., Liao, Y. & Zhou, P. Y. (2024). FedLoCA: Low-Rank Coordinated Adaptation with Knowledge Decoupling for Federated Recommendations. I RecSys '24: Proceedings of the 18th ACM Conference on Recommender Systems (s. 690-700). Association for Computing Machinery, Inc.. https://doi.org/10.1145/3640457.3688112

Dideriksen, A. K., Andersen, M. F., Priest, J., Eriksen, N. F., Frandsen, M. T., Melvad, C., Rasmussen, T. F., Nielsen, N. H. K., Strømsnes, C. T., Ahlebæk, M. J., Samsing, S., Larsen, T. B., Don, J., Pedersen, L. A. N., Jacobsen, R. H., Rysgaard, S., Kim, J. M., Bayer, R., Christensen, C. ... Karoff, C. (2024). DISCO-2 – an ambitious earth observing student CubeSat for arctic climate research. Frontiers in Remote Sensing, 5, Artikel 1474560. https://doi.org/10.3389/frsen.2024.1474560

Deutch, F., Weiss, M. G., Wagner, S. R., Hansen, L. S., Larsen, F., Figueiredo, C., Moers, C. & Keller, A. K. (2025). Machine-Learning-Based Activity Tracking for Individual Pig Monitoring in Experimental Facilities for Improved Animal Welfare in Research. Sensors, 25(3), Artikel 785. https://doi.org/10.3390/s25030785

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.

de la Cour, J. D., Johnsen, C.-J. & Avery, J. E. (2024). Lockstep-Parallel Dualization of Surface Triangulations. I PASC '24: Proceedings of the Platform for Advanced Scientific Computing Conference Artikel 9 Association for Computing Machinery. https://doi.org/10.1145/3659914.3659923

Deantoni, J., Muñoz, P., Gomes, C., Verbrugge, C., Mittal, R., Heinrich, R., Bellis, S. & Vallecillo, A. (2025). Quantifying and combining uncertainty for improving the behavior of Digital Twin Systems. Automatisierungstechnik: AT, 73(2), 81-99. https://doi.org/10.1515/auto-2024-0036

David, I., Shao, G., Gomes, C., Tilbury, D. & Zarkout, B. (2025). Interoperability of Digital Twins: Challenges, Success Factors, and Future Research Directions. I T. Margaria & B. Steffen (red.), Leveraging Applications of Formal Methods, Verification and Validation. Specification and Verification - 12th International Symposium, ISoLA 2024, Proceedings (s. 27-46). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-75390-9_3

Das, K. K., Soni, S., Moradi, F., Shreya, S. & Kaushik, B. K. (2024). Vortex Spin Torque Nano Oscillator-based PUF and TRNG Design for Lightweight Security Solutions. I 2024 8th IEEE Electron Devices Technology & Manufacturing Conference (EDTM) IEEE. https://doi.org/10.1109/EDTM58488.2024.10511353

D’Ambrosio, F., Harbo, M., Contiero, D., Bonfigli, A. R., Cicconi, D., Heuer, N., Roos, A., Pedersen, C. F., Fabbietti, P. & Gagliardi, C. (2024). Preact to lower the risk of falling by customized rehabilitation across Europe: the feasibility study protocol of the PRECISE project in Italy. Frontiers in Public Health, 12, Artikel 1293621. https://doi.org/10.3389/fpubh.2024.1293621

Dahl, M. K., Hassan Hire, J., Zamani, M. & Moradi, F. (2024). Multimodal Temperature Sensing Using Electromechanical Impedance (EMI) for Structural Health Monitoring. IEEE Sensors Journal, 24(3), 3457-3464. https://doi.org/10.1109/JSEN.2023.3343779

Cruz Salazar, L. A., Gil Arboleda, S., Rueda Carvajal, G. D., Sánchez-Zuluaga, G. J. & D. Zapata-Madrigal, G. (2024). AI in assessing Industry 4.0 adoption in Colombia: a case study approach. I Proceedings of the 6th IFAC International Workshop on Advance Maintenance Engineering, Services and Technology (AMEST 2024) (8 udg., Bind 58, s. 162-167). Elsevier. https://doi.org/10.1016/j.ifacol.2024.08.067

Craig, M. T., Wohland, J., Stoop, L. P., Kies, A., Pickering, B., Bloomfield, H. C., Browell, J., De Felice, M., Dent, C. J., Deroubaix, A., Frischmuth, F., Gonzalez, P. L. M., Grochowicz, A., Gruber, K., Härtel, P., Kittel, M., Kotzur, L., Labuhn, I., Lundquist, J. K. ... Brayshaw, D. J. (2022). Overcoming the disconnect between energy system and climate modeling. Joule, 6(7), 1405-1417. https://doi.org/10.1016/j.joule.2022.05.010

Cogato, A., Pezzuolo, A., Sørensen, C. G., De Bei, R., Sozzi, M. & Marinello, F. (2020). A GIS-based multicriteria index to evaluate the mechanisability potential of Italian vineyard area. Land, 9(11), 1-17. Artikel 469. https://doi.org/10.3390/land9110469

Cielecki, P. P., Hardenberg, M., Amariei, G., Henriksen, M. L., Hinge, M. & Klarskov, P. (2023). Identification of black plastics with terahertz time-domain spectroscopy and machine learning. Scientific Reports, 13(1), Artikel 22399. https://doi.org/10.1038/s41598-023-49765-z

Chumachenko, K., Iosifidis, A. & Gabbouj, M. (2021). Robust fast subclass discriminant analysis. I 2020 28th European Signal Processing Conference (EUSIPCO) (s. 1397-1401). Artikel 9287557 IEEE. https://doi.org/10.23919/Eusipco47968.2020.9287557

Chumachenko, K., Iosifidis, A. & Gabbouj, M. (2022). Feedforward Neural Networks Initialization based on Discriminant Learning. Neural Networks, 146, 220-229. https://doi.org/10.1016/j.neunet.2021.11.020

Chumachenko, K., Laakom, F., Raitoharju, J., Iosifidis, A. & Gabbouj, M. (2021). Rethinking compactness in deep neural networks. Afhandling præsenteret på International Conference on Machine Learning Workshop on Overparameterization. https://drive.google.com/file/d/1pu5xJMPvKuGFeVCcylEvLz00uLK3UN9I/view

Chumachenko, K., Gabbouj, M. & Iosifidis, A. (2022). Object detection and tracking. I A. Iosifidis & A. Tefas (red.), Deep Learning for Robot Perception and Cognition (s. 243-278). Elsevier. https://doi.org/10.1016/B978-0-32-385787-1.00016-6

Chronopoulos, C., Johansen, K. W., Teizer, J., Schultz, C. P. L. & Esterle, L. (2021). Towards a Holistic, Self-Organised Safety Framework for Construction. I Proceedings - 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2021 (s. 238-243). IEEE. https://doi.org/10.1109/ACSOS-C52956.2021.00060

Chronopoulos, C., Teizer, J. & Esterle, L. (2022). Trajectory Prediction: A Review of Methods and Challenges in Construction Safety. I J. Teizer & C. P. Leslie Schultz (red.), Proceedings of the 29thEG-ICE International Workshop on Intelligent Computing in Engineering (s. 428-438). European Group for Intelligent Computing in Engineering (EG-ICE). https://doi.org/10.7146/aul.455.c233

Christensen, S., Dyrmann, M., Nyholm Jørgensen, R. & Laursen, M. S. (2021). Sensing for Weed Detection. I Sensing Approaches for Precision Agriculture (s. 275-300). Springer. https://doi.org/10.1007/978-3-030-78431-7, https://doi.org/10.1007/978-3-030-78431-7_10

Christensen, L. T. B., Straadt, D., Vassis, S., Lillelund, C. M., Stoustrup, P. B., Pauwels, R., Pedersen, T. K. & Pedersen, C. F. (2024). An Explainable and Conformal AI Model to Detect Temporomandibular Joint Involvement in Children Suffering from Juvenile Idiopathic Arthritis. (s. 1-4). https://arxiv.org/abs/2405.01617#

Christensen, C. S. Q., Hansen, N., Motadayen, M., Lock, N., Henriksen, M. L. & Quinson, J. (2025). A review of metal-organic frameworks and polymers in mixed matrix membranes for CO₂ capture. Beilstein Journal of Nanotechnology, 16, 155-186. https://doi.org/10.3762/bjnano.16.14

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, Artikel 107231. https://doi.org/10.1016/j.compchemeng.2021.107231

Chen, Y., Shahidehpour, M., Lin, Y., Dvorkin, Y., Peric, V., Zhao, J., Ugalde-Loo, C. E. & Ge, L. (2022). Guest Editorial: Situational awareness of integrated energy systems. IET Generation, Transmission and Distribution, 16(14), 2761-2765. https://doi.org/10.1049/gtd2.12524

Chen, J., Liang, Y. C., Cheng, H. V. & Yu, W. (2023). Channel Estimation for Reconfigurable Intelligent Surface Aided Multi-User mmWave MIMO Systems. IEEE Transactions on Wireless Communications, 22(10), 6853-6869. https://doi.org/10.1109/TWC.2023.3246264

Chen, G., Kobek-Kjeldager, C., Jensen, L. D., Kristensen, J. K., Kaiser, M., Thodberg, K., Zhang, G., Rong, L., Herskin, M. S. & Foldager, L. (2024). Experimental study on temperature difference between the interior and exterior of the vehicle transporting weaner pigs. Biosystems Engineering, 247, 119-131. https://doi.org/10.1016/j.biosystemseng.2024.09.001

Chen, F., Xiang, L., Sun, H., Cheng, H. V. & Shen, K. (2025). Shuffling for Semantic Secrecy. IEEE Transactions on Information Forensics and Security, 20, 5240-5255. https://doi.org/10.1109/TIFS.2025.3573192

Cavagna, A., Li, N., Iosifidis, A. & Zhang, Q. (2023). Semantic Communication Enabling Robust Edge Intelligence for Time-Critical IoT Applications. I 2023 IEEE International Conference on Communications Workshops (ICC Workshops) (s. 1617-1622). IEEE. https://doi.org/10.1109/ICCWorkshops57953.2023.10283786

Castillo-Sánchez, J. B., Cano-García, J. M., González-Parada, E. & Frasheri, M. (2025). Enabling Autonomous Agents for Mobile Wireless Sensor Networks. Applied Sciences (Switzerland), 15(11), Artikel 6193. https://doi.org/10.3390/app15116193

Casadei, R., Esterle, L., Gamble, R., Harvey, P. & Wanner, E. F. (2024). Editorial: Understanding and engineering cyber-physical collectives. Frontiers in Robotics and AI, 11, Artikel 1407421. https://doi.org/10.3389/frobt.2024.1407421

Carlson Hanse, L., Tjørnild, M. J., Sørensen, S. G., Johansen, P., Lugones, I. & Hjortdal, V. E. (2022). Trileaflet Semilunar Valve Reconstruction: Pulsatile In Vitro Evaluation. Interactive Cardiovascular and Thoracic Surgery, 35(4), Artikel ivac227. https://doi.org/10.1093/icvts/ivac227

Carlson Hanse, L., Tjørnild, M. J., Karunanithi, Z., Jedrzejczyk, J. H., Islamagič, L., Hummelshøj, N. E., Enevoldsen, M., Johansen, P., Lauridsen, M. H. & Hjortdal, V. E. (2023). A handsewn pericardial valved pulmonary conduit: pulsatile flow loop in vitro and acute porcine in vivo evaluation. European Journal of Cardio-Thoracic Surgery, 63(4), Artikel ezad143. https://doi.org/10.1093/ejcts/ezad143

Cai, X. & Cheng, H. V. (2024). Array Pattern Synthesis with Discrete Phases for Reconfigurable Intelligent Surfaces. I 2024 IEEE 25th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) (s. 741 - 745). IEEE. https://doi.org/10.1109/SPAWC60668.2024.10694155

Cai, X. & Cheng, H. V. (2023). Direct Channel Estimation Between MIMO Transmitter and Reconfigurable Intelligent Surface. I IEEE Conference on Global Communications (GLOBECOM) (s. 4217-4222). IEEE. https://doi.org/10.1109/GLOBECOM54140.2023.10437250

Çabuk, U. C., Tosun, M., Jacobsen, R. H. & Dagdeviren, O. (2020). Path Loss Estimation of Air-to-Air Channels for FANETs over Rugged Terrains. I 2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings Artikel 9302160 IEEE. https://doi.org/10.1109/SIU49456.2020.9302160

Çabuk, U. C., Tosun, M., Jacobsen, R. H. & Dagdeviren, O. (2020). A Holistic Energy Model for Drones. I 2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings Artikel 9302218 IEEE. https://doi.org/10.1109/SIU49456.2020.9302218

Cabrera, A. F., Gram-Kampmann, E. M., Kappel, S. L., Remvig, L. S., Toft, H. O., Madsen, R. E., Juhl, C., Kidmose, P. & Rank, M. L. (2024). Detection of Hypoglycemia using ear-EEG. I 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024 - Proceedings IEEE. https://doi.org/10.1109/EMBC53108.2024.10781651

Brusatori, M. F. & Volet, N. (2021). Revised theory for the linewidth of diode lasers under external optical feedback. I V. S. Ilchenko, A. M. Armani, J. V. Sheldakova, A. V. Kudryashov & A. H. Paxton (red.), Laser Resonators, Microresonators, and Beam Control XXIII Artikel 1167211 SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.2583210

Brusatori, M. F. & Volet, N. (2022). Dynamics of Semiconductor Lasers under External Optical Feedback from Both Sides of the Laser Cavity. Photonics, 9(1), Artikel 43. https://doi.org/10.3390/photonics9010043

Brusatori, M. F., Duplat, D. N., Degli-Eredi, I., Nielsen, L., Tønning, P. L., Castera, P., Volet, N. & Heck, M. J. R. (2022). Ultralow-linewidth ring laser using hybrid integration and generic foundry platforms. Optics Letters, 47(11), 2686-2689. https://doi.org/10.1364/OL.457367

Bro Damsgaard, S., Hernandez Marcano, N. J., Nørremark, M., Jacobsen, R. H., Rodríguez, I. & Mogensen, P. (2022). Wireless Communications for Internet of Farming: An Early 5G Measurement Study. IEEE Access, 10, 105263-105277. https://doi.org/10.1109/ACCESS.2022.3211096

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Ph.d.-afhandlinger ved Institut for Elektro- og Computerteknologi

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