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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Bjerge, K., Schougaard, J. H. & Larsen, D. E. (2021). A scalable and efficient convolutional neural network accelerator using HLS for a system-on-chip design. Microprocessors and Microsystems, 87, Artikel 104363. https://doi.org/10.1016/j.micpro.2021.104363

Bjerge, K., Mann, H. M. R. & Høye, T. T. (2022). Real-time insect tracking and monitoring with computer vision and deep learning. Remote Sensing in Ecology and Conservation, 8(3), 315-327. https://doi.org/10.1002/rse2.245

Bjerge, K., Alison, J., Dyrmann, M., Frigaard, C. E., Mann, H. M. R. & Høye, T. T. (2022). Accurate detection and identification of insects from camera trap images with deep learning. bioRxiv. https://doi.org/10.1101/2022.10.25.513484

Bjerge, K., Frigaard, C. E. & Karstoft, H. (2022). Motion Informed Object Detection of Small Insects in Time-lapse Camera Recordings. arxiv.org.

Bjerge, K., Frigaard, C. E. & Karstoft, H. (2023). Object Detection of Small Insects in Time-Lapse Camera Recordings. Sensors, 23(16), Artikel 7242. https://doi.org/10.3390/s23167242

Bjerge, K., Geissmann, Q., Alison, J., Mann, H. M. R., Høye, T. T., Dyrmann, M. & Karstoft, H. (2023). Hierarchical Classification of Insects with Multitask Learning and Anomaly Detection. bioRxiv. https://doi.org/10.1101/2023.06.29.546989

Bjerge, K., Alison, J., Dyrmann, M., Frigaard, C. E., Mann, H. M. R. & Høye, T. T. (2023). Accurate detection and identification of insects from camera trap images with deep learning. PLOS Sustainability and Transformation, 2(3). https://doi.org/10.1371/journal.pstr.0000051

Bjerge, K., Pinoy, N., Karstoft, H. & Høye, T. T. (2023). Field trials with automated moth monitoring in three different habitats of Denmark. Abstract fra 2023 Butterfly Conservation Symposium, Bedfordshire , Storbritannien.

Bjerge, K., Geissmann, Q., Alison, J., Mann, H. M. R., Høye, T. T., Dyrmann, M. & Karstoft, H. (2023). Hierarchical classification of insects with multitask learning and anomaly detection. Ecological Informatics, 77, Artikel 102278. https://doi.org/10.1016/j.ecoinf.2023.102278

Bjerge, K., Bodesheim, P. & Karstoft, H. (2024). Few-Shot Learning with Novelty Detection. Afhandling præsenteret på DeLTA 2024 - 5th International Conference on Deep Learning Theory and Applications.

Bjerge, K., Karstoft, H., Mann, H. M. R. & Høye, T. T. (2024). A deep learning pipeline for time-lapse camera monitoring of floral environments and insect populations. bioRxiv. https://doi.org/10.1101/2024.04.12.589205

Bjerge, K., Karstoft, H. & Høye, T. T. (2024). Towards edge processing of images from insect camera traps. bioRxiv. https://doi.org/10.1101/2024.07.01.601488

Bjerge, K., Karstoft, H., Mann, H. M. R. & Høye, T. T. (2024). A deep learning pipeline for time-lapse camera monitoring of insects and their floral environments. Ecological Informatics, 84, Artikel 102861. https://doi.org/10.1016/j.ecoinf.2024.102861

Bjerge, K., Bodesheim, P. & Karstoft, H. (2025). Deep Image Clustering with Model-Agnostic Meta-Learning. I In Proceedings of the 20th International Joint Conference on Computer Vision (Bind 2, s. 286-297). Imaging and Computer Graphics Theory and Applications - VISAPP 2025. https://doi.org/10.5220/0013114600003912

Bjerge, K., Karstoft, H. & Høye, T. T. (2025). Towards edge processing of images from insect camera traps. Remote Sensing in Ecology and Conservation. https://doi.org/10.1002/rse2.70007

Bjarke Mikkelsen, K., Rezai Tabar, Y., Rævsbæk Birch, L., Kappel, S. L., Christensen, C. B., Dalskov Mosgaard, L., Otto, M., Christian Hemmsen, M., Lind Rank, M. & Kidmose, P. (2025). Ear-EEG sleep monitoring data sets. Scientific Data, 12(1), Artikel 301. https://doi.org/10.1038/s41597-025-04579-8

Bindal, N., Rajib, M. M., Raj, R. K., Atulasimha, J. & Kaushik, B. K. (2025). Antiferromagnetic skyrmion-based energy-efficient leaky integrate and fire neuron device. Nanotechnology, 36(16), Artikel 165201. https://doi.org/10.1088/1361-6528/adb8c1

Betzer, J. S., Boudjadar, J., Frasheri, M. & Talasila, P. (2024). Digital Twin Enabled Runtime Verification for Autonomous Mobile Robots under Uncertainty. ArXiv. https://doi.org/10.48550/arXiv.2412.09913

Bettaieb, L., Ajailia, N., Bennedsen, J., Edström, K., Singh, M. N., Lyng, R., Maynard, N., Malmqvist, J. & Byström, F. (2024). Editorial. Proceedings of the International CDIO Conference, IV-V.

Besson, M., Alison, J., Bjerge, K., Gorochowski, T. E., Høye, T. T., Jucker, T., Mann, H. M. R. & Clements, C. F. (2022). Towards the fully automated monitoring of ecological communities. Ecology Letters, 25(12), 2753-2775. https://doi.org/10.1111/ele.14123

Berntsen, J., Rimestad, J., Lassen, J. T., Tran, D. & Kragh, M. F. (2022). Robust and generalizable embryo selection based on artificial intelligence and time-lapse image sequences. PLOS ONE, 17(2 ), Artikel e0262661. https://doi.org/10.1371/journal.pone.0262661

Bentsen, P., Nybo, J., Ring, C. & Wagner, S. (2010). Continuous healthcare: Removing the inconvenience of recharging. I 2010 4th International Conference on Pervasive Computing Technologies for Healthcare, Pervasive Health 2010 Artikel 5482263 https://doi.org/10.4108/ICST.PERVASIVEHEALTH2010.8900

Benos, L., Grøn Sørensen, C. & Bochtis, D. (2022). Field Deployment of Robotic Systems for Agriculture in Light of Key Safety, Labor, Ethics and Legislation Issues. Current Robotics Reports, 3(2), 49-56. https://doi.org/10.1007/s43154-022-00074-9

Bennedsen, J. (2021). Assessing students' professional criticism skills - a mathematics course case. I J. Bennedsen, K. Edström, M. S. Gudjonsdottir, I. Sæmundsdóttir, N. Kuptasthien, J. Roslöf & A. Sripakagorn (red.), The 17^th International CDIO Conference: Proceedings - Full papers (s. 293-302). Chulalongkorn University. http://www.cdio2021.chula.ac.th/download/CDIO2021_proceeding.pdf

Bennedsen, J., Böttjer, T. & Tola, D. (2022). Using GitHub classroom in teaching programming. I 18th CDIO International Conference Proceedings - Full papers (s. 690-702) https://www.diva-portal.org/smash/get/diva2:1705223/FULLTEXT01.pdf#page=704

Bennedsen, J., Edström, K., Guðjónsdóttir, M. S., Sæmundsdóttir, I., Kuptasthien, N., Roslöf, J. & Sripakagorn, A. (2021). Editorial. Proceedings of the International CDIO Conference, 1-2.

Bennedsen, J. & Øien, G. (2023). TRANSNATIONAL COLLABORATION ON LIFELONG LEARNING BETWEEN HIGHER ENGINEERING EDUCATION INSTITUTIONS: A UNIVERSITY PERSPECTIVE. I G. Reilly, M. Murphy, B. V. Nagy & H.-M. Jarvinen (red.), SEFI 2023 - 51st Annual Conference of the European Society for Engineering Education: Engineering Education for Sustainability, Proceedings (s. 173-182). European Society for Engineering Education (SEFI). https://doi.org/10.21427/2F51-E932

Bennedsen, J., Øien, G. E. D., Foo, E., Goh, E., Roslöf, J., Cheah, S. M. & Gelten, H. (2024). AN INTERNATIONAL UNIVERSITY PERSPECTIVE ON BARRIERS AND ENABLERS FOR LIFELONG LEARNING IN ENGINEERING. I L. Bettaieb, N. Ajailia, J. Bennedsen, K. Edstrom, M. N. Singh, R. Lyng, N. Maynard, J. Malmqvist & F. Bystrom (red.), 20th International CDIO Conference, CDIO 2024 - Proceedings (s. 481-494). Chalmers University of Technology.

Bennedsen, J. & Øien, G. E. D. (2024). A UNIFIED DIDACTIC FOUNDATION FOR AARHUS UNIVERSITY'S TECH FACULTY: EXPERIENCES AND IMPACT. I L. Bettaieb, N. Ajailia, J. Bennedsen, K. Edstrom, M. N. Singh, R. Lyng, N. Maynard, J. Malmqvist & F. Bystrom (red.), 20th International CDIO Conference, CDIO 2024 - Proceedings (s. 458-471). Chalmers University of Technology.

Benhassen, L. L., Hedensted, J. H., Sharghbin, M., Bechsgaard, T., Nielsen, S. L., Hasenkam, J. M. & Johansen, P. (2023). Comparison of aortic valve repair techniques with single- and double-ring annuloplasties. European Journal of Cardio-Thoracic Surgery, 63(5), Artikel ezad164. https://doi.org/10.1093/ejcts/ezad164

Benhassen, L. L., Hedensted, J. H., Hasenkam, J. M. & Johansen, P. (2023). Reply to Jasinski et al. European Journal of Cardio-Thoracic Surgery, 64(3), ezad312. Artikel ezad312. https://doi.org/10.1093/ejcts/ezad312

Bellman, K., Botev, J., Diaconescu, A., Esterle, L., Gruhl, C., Landauer, C., Lewis, P. R., Nelson, P. R., Pournaras, E., Stein, A. & Tomforde, S. (2021). Self-improving system integration: Mastering continuous change. Future Generation Computer Systems, 117, 29-46. https://doi.org/10.1016/j.future.2020.11.019

Beck, M. M., Boudjadar, J. & Chougui, Y. (2021). Energy Efficient Real-time Calibration of Wireless Sensor Networks for Smart Buildings. Afhandling præsenteret på International Symposium on Intelligent and Autonomous Systems, Tallinn, Estland.

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

Battle, N., Thule, C., Gonçalves Gomes, C. Â., Macedo, H. D. & Larsen, P. G. (2020). Towards a Static Check of FMUs in VDM-SL. 272-288. https://doi.org/10.1007/978-3-030-54997-8_18

Battle, N., Macedo, H. D. & Larsen, P. G. (2021). VDM Combinatorial Testing Guidelines.

Baş, E. E., Abbiati, G., Gonçalves Gomes, C. Â., Jassmann, U. & Larsen, P. G. (2024). Digitalization of Large-Scale Testing Facilities for the Wind Industry: DIGIT-BENCH Digital Twin. Journal of Physics: Conference Series, 2767(4), Artikel 042033. https://doi.org/10.1088/1742-6596/2767/4/042033

Barzegar Gerdroodbary, M. & Salavatidezfouli, S. (2025). A predictive surrogate model based on linear and nonlinear solution manifold reduction in cardiovascular FSI: A comparative study. Computers in Biology and Medicine, 189, Artikel 109959. https://doi.org/10.1016/j.compbiomed.2025.109959

Barzegar Gerdroodbary, M. & Salavatidezfouli, S. (2025). A predictive surrogate model of blood haemodynamics for patient-specific carotid artery stenosis. Journal of the Royal Society Interface, 22(224), Artikel 20240774. https://doi.org/10.1098/rsif.2024.0774

Bano, F., Rizwan, A., Serbaya, S. H., Hasan, F., Karavas, C. S. & Fotis, G. (2024). Integrating Microgrids into Engineering Education: Modeling and Analysis for Voltage Stability in Modern Power Systems. Energies, 17(19), Artikel 4865. https://doi.org/10.3390/en17194865

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

Bandaru, N., Reddy, C. V., Vallabhudasu, K., Vijayalakshmi, M., Raghava Reddy, K., Cheolho, B., Shim, J. & Aminabhavi, T. M. (2024). Exploring the potential of MXene nanohybrids as high-performance anode materials for lithium-ion batteries. Chemical Engineering Journal, 500, Artikel 157317. https://doi.org/10.1016/j.cej.2024.157317

Banaei, M., Boudjadar, J. & Khooban, M. H. (2021). Stochastic Model Predictive Energy Management in Hybrid Emission-Free Modern Maritime Vessels. IEEE Transactions on Industrial Informatics, 17(8), 5430-5440. https://doi.org/10.1109/TII.2020.3027808

Banaei, M., Oloomi‐buygi, M., Raouf‐Sheybani, H. & Khooban, M. H. (2021). Mixed supply function‐Cournot equilibrium model of futures and day‐ahead electricity markets. IET Generation, Transmission & Distribution, 15(10), 1640-1654. https://doi.org/10.1049/gtd2.12123

Banaei, M., Boudjadar, J., Dragicevic, T. & Khooban, M. H. (2020). Cost Effective Operation of a Hybrid Zero-Emission Ferry Ship. I 2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020 (s. 23-28). Artikel 9244456 IEEE. https://doi.org/10.1109/PEDG48541.2020.9244456

Banaei, M., Boudjadar, J. & Khooban, M. H. (2021). Optimal Energy Resources Scheduling of Hybrid Diesel/Battery Ships in Shallow Waters. I H. Selvaraj, G. Chmaj & D. Zydek (red.), Proceedings of the 27th International Conference on Systems Engineering, ICSEng 2020 (s. 369-378). Springer. https://doi.org/10.1007/978-3-030-65796-3_36

Banaei, M., Ghanami, F., Khooban, M. H. & Boudjadar, J. (2021). Cost-effective control of Roll-on/Roll-off Emission-Free Ships. I 2021 25th International Conference on Methods and Models in Automation and Robotics, MMAR 2021 (s. 315-320). IEEE. https://doi.org/10.1109/MMAR49549.2021.9528473

Banaei, M., Boudjadar, J., Ebrahimy, R. & Madsen, H. (2021). Optimal Control Strategies of Fuel cell/Battery Based Zero-Emission Ships: A Survey. I IECON 2021 - 47th Annual Conference of the IEEE Industrial Electronics Society IEEE. https://doi.org/10.1109/IECON48115.2021.9589512

Baltakys, K., Baltakienė, M., Heidari, N., Iosifidis, A. & Kanniainen, J. (2023). Predicting the trading behavior of socially connected investors: Graph neural network approach with implications to market surveillance. Expert Systems with Applications, 228, Artikel 120285. https://doi.org/10.1016/j.eswa.2023.120285

Balauroiu, M., Ruf, F., Volet, N. & Heck, M. (2021). Low-loss all-optical ns-switching for scalable quantum photonic links. Poster-session præsenteret på Photonic Links for Quantum Technology Platforms.

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