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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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. At-Automatisierungstechnik, 73(2), 81-99. https://doi.org/10.1515/auto-2024-0036

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

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

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

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

Brandt, P., Grønvig, M., Rong, L., Zhang, G., Gautam, K. R., Kristensen, J. K. & Bjerg, B. (2022). The effect of floor cooling on respiration rate and distribution of pigs in the pen. Livestock Science, 257, Artikel 104832. https://doi.org/10.1016/j.livsci.2022.104832

Bozorgasli, Z., Foroozan, H., Gheisarnejad Chirani, M. & Khooban, M. H. (2021). New Trends on Digital Twin-Based Blockchain Technology in Zero-Emission Ship Applications. Naval Engineers Journal, 133(3), 115-135. http://bt.e-ditionsbyfry.com/publication/?m=63540&i=721756&view=articleBrowser&article_id=4109541&ver=html5

Bozcan, I. & Kayacan, E. (2020). UAV-AdNet: Unsupervised Anomaly Detection using Deep Neural Networks for Aerial Surveillance. I 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (s. 1158-1164). Artikel 9341790 IEEE. https://doi.org/10.1109/IROS45743.2020.9341790

Bozcan, I., Sejersen, J. L. F., Pham, X. H. & Kayacan, E. (2021). GridNet: Image-Agnostic Conditional Anomaly Detection for Indoor Surveillance. IEEE Robotics and Automation Letters, 6(2), 1638 - 1645. Artikel 9345954. https://doi.org/10.1109/LRA.2021.3057003

Bozcan, I. & Kayacan, E. (2020). Contextual Anomaly Detection for Low Altitude Aerial Surveillance.

Bozcan, I. (2021). Learning-based Anomaly Detection for Aerial Surveillance. Århus Universitet.

Boudjadar, J. (2020). A Study of the Trade-off Energy Consumption-Performance-Schedulability for DVFS Multicore Systems. International Journal of Computer and Information Engineering, 14(11), 380-391.

Boudjadar, J. & Beck, M. M. (2021). Intelligent Time Synchronization Protocol for Energy Efficient Sensor Systems. Afhandling præsenteret på Intelligent Systems Conference , Amsterdam, Holland.

Boudjadar, J. & Khooban, M. H. (2021). A Safety-Driven Cost Optimization for the Real-Time Operation of a Hybrid Energy System. I H. Selvaraj, G. Chmaj & D. Zydek (red.), Proceedings of the 27th International Conference on Systems Engineering, ICSEng 2020 (s. 390-400). Springer. https://doi.org/10.1007/978-3-030-65796-3_38

Boudjadar, J. & Beck, M. M. (2022). Intelligent Time Synchronization Protocol for Energy Efficient Sensor Systems. I K. Arai (red.), Intelligent Systems and Applications - Proceedings of the 2021 Intelligent Systems Conference IntelliSys (s. 609-623). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-82196-8_45

Boudjadar, J. (2022). A Digital Twin Setup for Safety-aware Optimization of a Cyber-Physical System. Afhandling præsenteret på International Conference on Informatics in Control, Automation and Robotics, Lisbon, Portugal.

Boudjadar, J. (2022). A Flexible Implementation Model for Neural Networks on FPGAs. Afhandling præsenteret på International Conference on Intelligent Systems Design and Applications.

Boudjadar, J. & Schultz, C. P. L. (2023). A Knowledge-Based Proactive Intelligent System for Buildings Occupancy Monitoring. 680-687. Afhandling præsenteret på 19th International Conference on Software Technologies, Rome, Italien.

Boudjadar, J. & Islam, S. U. (2024). AgriScanNet-18: A Robust Multilayer CNN for Identification of Potato Plant Diseases. 291-308. Afhandling præsenteret på Intelligent Systems Conference, Amsterdam, Holland. https://doi.org/10.1007/978-3-031-47724-9_20

Böttjer, T., Sandberg, M., Larsen, P. G. & Macedo, H. D. (2021). Modelling an Injection Moulding Machine using the Vienna Development Method. I H. D. Macedo, C. Thule & K. Pierce (red.), Proceedings of the 19th International Overture Workshop (s. 51-65) https://arxiv.org/abs/2110.09371

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. I A.-L. Andersen, R. Andersen, 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 Changeable, Agile, Reconﬁgurable and Virtual Production Conference and the World Mass Customization & Personalization Conference (s. 431-439). Springer. https://www.springerprofessional.de/en/data-driven-identification-of-remaining-useful-life-for-plastic-/19816878

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

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