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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Nielsen, A. H., Iosifidis, A. & Karstoft, H. (2021). CloudCast: A Satellite-Based Dataset and Baseline for Forecasting Clouds. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 3485-3494. Artikel 9366908. https://doi.org/10.1109/JSTARS.2021.3062936

Li, B. & Schultz, C. P. L. (2025). Clingo2DSR - A clingo-based software system for declarative spatial reasoning. Spatial Cognition & Computation, 25(1), 69-119. https://doi.org/10.1080/13875868.2024.2324875

Rafiei Foroushani, M. & Iosifidis, A. (2023). Class-Specific Variational Auto-Encoder for Content-Based Image Retrieval. I 2023 International Joint Conference on Neural Networks (IJCNN) IEEE. https://doi.org/10.1109/IJCNN54540.2023.10191068

Bechchristensen, C., Lunner, T., Harte, J., Rank, M. & Kidmose, P. (2022). Chirp-Evoked Auditory Steady-State Response: The Effect of Repetition Rate. IEEE Transactions on Biomedical Engineering, 69(2), 689-699. https://doi.org/10.1109/TBME.2021.3103332

Kappel, S. L. & Kidmose, P. (2022). Characterization of Dry-Contact EEG Electrodes and an Empirical Comparison of Ag/AgCl and IrO₂ Electrodes. I 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (s. 3127-3130). IEEE. https://doi.org/10.1109/EMBC48229.2022.9871923

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

Taurone, F., Lucani Rötter, D. E., Fehér, M. & Zhang, Q. (2023). Change a Bit to save Bytes: Compression for Floating Point Time-Series Data. I M. Zorzi, M. Tao & W. Saad (red.), ICC 2023 - IEEE International Conference on Communications: Sustainable Communications for Renaissance (s. 3756-3761). IEEE. https://doi.org/10.1109/ICC45041.2023.10279204

Mousaei, A., Gheisarnejad, M. & Khooban, M. H. (2023). Challenges and opportunities of FACTS devices interacting with electric vehicles in distribution networks: A technological review. Journal of Energy Storage, 73, Artikel 108860. https://doi.org/10.1016/j.est.2023.108860

Oakes, B. J., Zhang, H., Hatledal, L. I., Feng, H., Frasheri, M., Sandberg, M., Gil Arboleda, S. & Gomes, C. (2024). Case Studies in Digital Twins. I J. Fitzgerald, C. Gomes & P. G. Larsen (red.), The Engineering of Digital Twins (s. 257-310). Springer. https://doi.org/10.1007/978-3-031-66719-0_12

Wagner, S. (2021). CARIOT+ Care Coach – An Ambient Assisted Living Ecosystem for Supporting Open Data and Open Science Projects. I E. Pissaloux, G. A. Papadopoulos, A. Achilleos & R. Velázquez (red.), ICT for Health, Accessibility and Wellbeing - 1st International Conference, IHAW 2021, Revised Selected Papers (s. 45-59). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-94209-0_5

Jørgensen, A. C., Madsen, J. G., Askou, A. L., Corydon, T. J. . & Davidsen, R. S. (2024). Can the Porcine Retina be Cultered Long-term Ex Vivo?. Poster-session præsenteret på The Association for Research in Vision Annual Meeting 2024, Seattle, Washington, USA.

Mehndiratta, M., Camci, E. & Kayacan, E. (2021). Can deep models help a robot to tune its controller? A step closer to self-tuning model predictive controllers. Electronics, 10(18), Artikel 2187. https://doi.org/10.3390/electronics10182187

Sejersen, J. L. F. & Kayacan, E. (2023). CAMETA: Conflict-Aware Multi-Agent Estimated Time of Arrival Prediction for Mobile Robots. 1-8. Afhandling præsenteret på 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Detroit, Michigan, USA. https://doi.org/10.1109/IROS55552.2023.10341937

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), Artikel 6126. https://doi.org/10.3390/s21186126

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

Frasheri, M., Lumer-Klabbers, G., Kvistgaard, J. L., Hausted, J. O., Thule, C., Esterle, L. & Larsen, P. G. (2023). Building Safer Robots: From Simulation to Hardware Deployment. 2023 27th International Conference on Methods and Models in Automation and Robotics, MMAR 2023 - Proceedings, 63-68. https://doi.org/10.1109/MMAR58394.2023.10242467

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. I M. D. E. al (red.), HiPEAC Vision 2021: High performance embedded architecture and compilation (s. 20-29). HiPEAC. https://www.hipeac.net/vision/2021/

Villadsen, K., Dalgaard Jensen, M., Larsen, P. G. & Macedo, H. D. (2022). Bridging the Requirements-Specification Gap using Behaviour-Driven Development. I H. D. Macedo & K. Pierce (red.), Proceedings of the 20th International Overture Workshop (s. 19-33) https://doi.org/10.48550/arXiv.2208.10233

Lotlikar, V. S., Satpute, N. & Gupta, A. (2022). Brain Tumor Detection Using Machine Learning and Deep Learning: A Review. Current Medical Imaging, 18(6), 604-622. https://doi.org/10.2174/1573405617666210923144739

Nielsen, L. & Heck, M. (2021). Boosting the output power and wall-plug efficiency of lasers on a generic InP platform. I S. M. García-Blanco & P. Cheben (red.), Integrated Optics: Devices, Materials, and Technologies XXV (Bind 11689). Artikel 116890T SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.2581908

Hallerstede, S. (2022, jun. 14). Book review: Decision Procedures – An Algorithmic Point of View. (2 udg.) Springer Berlin, Heidelberg. Texts in Theoretical Computer Science. An EATCS Series https://www.fmeurope.org/2022/06/14/book-review-decision-procedures-an-algorithmic-point-of-view/

Maalandish, M., Hosseini, S. H., Sabahi, M., Rostami, N. & Khooban, M. H. (2023). B-MIMO high step-up DC/DC converter with high capability to control inputs. IET Power Electronics, 16(9), 1499-1513. https://doi.org/10.1049/pel2.12486

Anand, M., Panigrahi, S., Kofoed, M. V. W., Aghababaei, R. & Agarwala, S. (2024). Bioinspired poly(vinyl alcohol) films with tunable adhesion and self-healing for biodegradable electronics and beyond. Sustainable Materials and Technologies, 41, Artikel e01084. https://doi.org/10.1016/j.susmat.2024.e01084

Monisha, M. & Agarwala, S. (2022). Biodegradable materials: Foundation of transient and sustainable electronics. Materials Science in Additive Manufacturing, 1(3), Artikel 15. https://doi.org/10.18063/msam.v1i3.15

Johansen, K. W., Schultz, C. P. L. & Teizer, J. (2022). BIM-based fall hazard ontology and benchmark model for comparison of automated prevention through design approaches in construction safety. I J. Teizer & C. P. Leslie Schultz (red.), Proceedings of the 29thEG-ICE International Workshop on Intelligent Computing in Engineering (s. 408-417) https://ebooks.au.dk/aul/catalog/view/455/311/1837-3

Sehat, H., Lucani Rötter, D. E. & Pagnin, E. (2022). Bifrost: Secure, Scalable and Efficient File Sharing System Using Dual Deduplication. I 2022 IEEE 11th International Conference on Cloud Networking (CloudNet) (s. 203-210). IEEE. https://doi.org/10.1109/CloudNet55617.2022.9978810

Lund, J., Jensen, L. B., Battle, N., Larsen, P. G. & Macedo, H. D. (2023). Bidirectional UML Visualisation of VDM Models.

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

Bochtis, D. D., Grøn Sørensen, C., Busato, P. & Berruto, R. (2013). Benefits from optimal route planning based on B-patterns. Biosystems Engineering, 115(4), 389-395. https://doi.org/10.1016/j.biosystemseng.2013.04.006

Gasso, V., Barber, A., Moller, H., Bayonne, E., Oudshoorn, F. W. & Sørensen, C. G. (2025). Benchmarking for locally tuned sustainability: The case of energy and water use in New Zealand vineyards. Environmental and Sustainability Indicators, 25, Artikel 100536. https://doi.org/10.1016/j.indic.2024.100536

Asif, M. R. (2025). Benchmarking Deep Learning for Wetland Mapping in Denmark Using Remote Sensing Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 18, 11953-11962. https://doi.org/10.1109/JSTARS.2025.3563951

Magris, M. & Iosifidis, A. (2023). Bayesian learning for neural networks: an algorithmic survey. Artificial Intelligence Review, 56(10), 11773-11823. https://doi.org/10.1007/s10462-023-10443-1

Liu, B., Wang, Y., Mofid, O., Mobayen, S. & Khooban, M. H. (2024). Barrier Function-Based Backstepping Fractional-Order Sliding Mode Control for Quad-Rotor Unmanned Aerial Vehicle under External Disturbances. IEEE Transactions on Aerospace and Electronic Systems, 60(1), 716-728. https://doi.org/10.1109/TAES.2023.3328801

Rouhani, S. H., Su, C.-L., Mobayen, S., Esmaeili Shayan, M., Khooban, M. H. & Elsisi, M. (2024). Barrier-Function Adaptive Finite-Time Trajectory Tracking Controls for Cyber Resilience in Smart Grids Under an Electricity Market Environment. IEEE Transactions on Smart Grid, 15(6), 6031-6047. https://doi.org/10.1109/TSG.2024.3417704

Sørensen, R. A., Rosenberg, J. & Karstoft, H. (2021). Baggage Routing with Scheduled Departures using Deep Reinforcement Learning. I Proceedings - 2021 International Symposium on Computer Science and Intelligent Controls, ISCSIC 2021 (s. 13-19). IEEE. https://doi.org/10.1109/ISCSIC54682.2021.00014

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. I S. Bahk, P. Tran-Gia, J. Van der Spiegel & N. X. Quynh (red.), 2020 IEEE Eighth International Conference on Communications and Electronics (ICCE) (s. 338-343). IEEE. https://doi.org/10.1109/ICCE48956.2021.9352080

Kristensen, E. F., Grøn Sørensen, C., Vandorou, F., Balafoutis, T. & Vaiopoulos, K. (2023). Available financing tools in EU agriculture – 2nd update.

Kristensen, E. F., Grøn Sørensen, C., Vandorou, F., Balafoutis, T. & Vaiopoulos, K. (2022). Available financing tools in EU agriculture – 1^stupdate. https://www.agrofossilfree.eu/wp-content/uploads/2023/02/D2.15.pdf

Kristensen, E. F., Grøn Sørensen, C., Balafoutis, T., Vaiopoulos, K. & Vandorou, F. (2021). Available financing tools in EU agriculture. https://www.agrofossilfree.eu/wp-content/uploads/2021/10/D2.14.pdf

Johansen, K. W., Pimentel de Figueiredo, R., Golovina, O. & Teizer, J. (2021). Autonomous Safety Barrier Inspection in Construction: An Approach Using Unmanned Aerial Vehicles and SafeBIM. I C. Feng, T. Linner & I. Brilakis (red.), Proceedings of the 38th International Symposium on Automation and Robotics in Construction, ISARC 2021 (s. 629-636) https://doi.org/10.22260/ISARC2021/0085

Esterle, L., Frasheri, M. & Larsen, P. G. (2024). Autonomous Reconfguration Enabled by Digital Twins. I J. Fitzgerald, C. Gomes & P. G. Larsen (red.), The Engineering of Digital Twins (s. 345-362). Springer. https://doi.org/10.1007/978-3-031-66719-0_14

Ebeid, E. S. M., Jacobsen, R. H., Schenider-Kamp, P., Vom Bögel, G., Guzzini, P., Luminari, N., Casarotti, C., Mandirola, M., Taurino, D. & Del Sole, A. (2022). Autonomous Drones to Ensure Safety in Transport: Concept and Implementations. 1-9. Afhandling præsenteret på SESAR Innovation days 2022, Budapest, Hungary, Ungarn.

Phan, H. & Mikkelsen, K. (2022). Automatic sleep staging of EEG signals: recent development, challenges, and future directions. Physiological Measurement, 43(4), Artikel 04TR01. https://doi.org/10.1088/1361-6579/ac6049

Borup, K., Kidmose, P., Phan, H. & Mikkelsen, K. (2023). Automatic sleep scoring using patient-specific ensemble models and knowledge distillation for ear-EEG data. Biomedical Signal Processing and Control, 81, Artikel 104496. https://doi.org/10.1016/j.bspc.2022.104496

Seker, M., Männistö, A., Iosifidis, A. & Raitoharju, J. (2021). Automatic Main Character Recognition for Photographic Studies. I IEEE 23rd International Workshop on Multimedia Signal Processing, MMSP 2021 IEEE. https://doi.org/10.1109/MMSP53017.2021.9733624

Mann, H. M. R., Iosifidis, A., Jepsen, J. U., Welker, J. M., Loonen, M. J. J. E. & Høye, T. T. (2022). Automatic flower detection and phenology monitoring using time-lapse cameras and deep learning. Remote Sensing in Ecology and Conservation, 8(6), 765-777. https://doi.org/10.1002/rse2.275

Asif, M. R., Maurya, P. K., Foged, N., Larsen, J. J., Auken, E. & Christiansen, A. V. (2022). Automated transient electromagnetic data processing for ground-based and airborne systems by a deep learning expert system. IEEE Transactions on Geoscience and Remote Sensing, 60, Artikel 5919814. https://doi.org/10.1109/TGRS.2022.3202304

Johansen, K. W., Teizer, J. & Schultz, C. (2024). Automated rule-based safety inspection and compliance checking of temporary guardrail systems in construction. Automation in Construction, 168, Artikel 105849. https://doi.org/10.1016/j.autcon.2024.105849

Asif, MR., Larsen, JJ. & Christiansen, AV. (2024). Automated Processing of Time-Domain Electromagnetic Data Influenced by Induced Polarization Effects. I NSG 2024 30th European Meeting of Environmental and Engineering Geophysics (s. 1-5). European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.202420140

Asif, M. R., Kass, A., Westerhoff, R., Rawlinson, Z., Christiansen, A. V. & Bording, T. S. (2023). Automated Processing of a Large-Scale Airborne Electromagnetic Survey by Deep Learning. Afhandling præsenteret på NSG2023 29th European Meeting of Environmental and Engineering Geophysics, Edinburgh , Storbritannien. https://doi.org/10.3997/2214-4609.202320057

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