Publications at Department of Electrical and Computer Engineering

Under publication list you can find a complete list of the publications that are written by employees at the Publications at Department of Electrical and Computer Engineering.

Publication list

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Tøttrup, D., Skovgaard, S. L., Sejersen, J. L. F. & de Figueiredo, R. P. (2022). A Real-Time Method for Time-to-Collision Estimation from Aerial Images. Journal of Imaging, 8(3), Article 62. https://doi.org/10.3390/jimaging8030062

Griffiths, M., Grombacher, D., Kass, M. A., Liu, L., Vang, M. & Larsen, J. J. (2022). A Reformulated Surface Nmr Forward For Multi-Sequence Acquisitions. In 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

Rouhi Ardeshiri, R., Gheisarnejad Chirani, M., Tavana, M. R., Vafamand, N. & Khooban, M. H. (2022). A robust intelligent controller-based motion control of a wheeled mobile robot. Transactions of the Institute of Measurement and Control, 44(15), 2911-2918. https://doi.org/10.1177/01423312221088389

Yildirim, B., Gheisarnejad Chirani, M. & Khooban, M. H. (2022). A Robust Non-Integer Controller Design for Load Frequency Control in Modern Marine Power Grids. IEEE Transactions on Emerging Topics in Computational Intelligence, 6(4), 852-866. https://doi.org/10.1109/TETCI.2021.3114735

Kass, M. A., Grombacher, D., Griffiths, M., Vang, M. Ø., Liu, L. & Larsen, J. J. (2022). A steady-state approach to surface nuclear magnetic resonance. In Proceedings of the Symposium on the Application of Geophyics to Engineering and Environmental Problems, SAGEEP (pp. 54). J and N Group, Ltd.. https://www.eegs.org/assets/docs/Symposium/2022SAGEEP/AbstractsbyAuthor/Kass%2C%20A%20STEADY-STATE%20APPROACH%20TO%20SURFACE%20NUCLEAR%20MAGNETIC%20RESONANCE%20-%20SAGEEP%202022%20-%20205367449.pdf

Kulik, T., Dongol, B., Larsen, P. G., Macedo, H. D., Schnieder, S., Tran-Jørgensen, P. W. V. & Woodcock, J. (2022). A Survey of Practical Formal Methods for Security. Formal Aspects of Computing, 34(1), Article 3522582. https://doi.org/10.1145/3522582

Tran, D. T., Passalis, N., Tefas, A., Gabbouj, M. & Iosifidis, A. (2022). Attention-Based Neural Bag-of-Features Learning for Sequence Data. IEEE Access, 10, 45542-45552. https://doi.org/10.1109/ACCESS.2022.3169776

Mohammadi Moghadam, H., Mohammadzadeh, A., Hadjiaghaie Vafaie, R., Tavoosi, J. & Khooban, M. H. (2022). A type-2 fuzzy control for active/reactive power control and energy storage management. Transactions of the Institute of Measurement and Control, 44(5), 1014-1028. https://doi.org/10.1177/01423312211048038

Madsen, E., Tola, D., Hansen, C., Gomes, C. & Larsen, P. G. (2022). AURT: A Tool for Dynamics Calibration of Robot Manipulators. In 2022 IEEE/SICE International Symposium on System Integration, SII 2022 (pp. 190-195). IEEE. https://doi.org/10.1109/SII52469.2022.9708769

Rasmussen, S. M., Nielsen, T., Hody, S., Hager, H. & Schousboe, L. P. (2022). Author Correction: Photoplethysmography for demarcation of cutaneous squamous cell carcinoma (Scientific Reports, (2021), 11, 1, (21467), 10.1038/s41598-021-00645-4). Scientific Reports, 12(1), Article 3521. https://doi.org/10.1038/s41598-022-06856-7

Potapenko, I., Thiesson, B., Kristensen, M., Hajari, J. N., Ilginis, T., Fuchs, J., Hamann, S. & la Cour, M. (2022). Automated artificial intelligence-based system for clinical follow-up of patients with age-related macular degeneration. Acta Ophthalmologica, 100(8), 927-936. https://doi.org/10.1111/aos.15133

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, Article 5919814. https://doi.org/10.1109/TGRS.2022.3202304

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

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

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. Paper presented at SESAR Innovation days 2022, Budapest, Hungary, Hungary.

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

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

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. In J. Teizer & C. P. Leslie Schultz (Eds.), Proceedings of the 29thEG-ICE International Workshop on Intelligent Computing in Engineering (pp. 408-417) https://doi.org/10.7146/aul.455.c231

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

Sehat, H., Lindskov Kloborg, A., Mørup, C., Pagnin, E. & Lucani Rötter, D. E. (2022). Bonsai: A General Look at Dual Dedupliation. https://arxiv.org/pdf/2202.13925

Hallerstede, S. (2022, Jun 14). Book review: Decision Procedures – An Algorithmic Point of View. (2 ed.) 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/

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

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

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

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

Lillelund, C. M., Jensen, H. B. & Pedersen, C. F. (2022). Cloud K-SVD for Image Denoising. SN Computer Science, 3(2), Article 151. https://doi.org/10.1007/s42979-022-01042-y

Li, N., Iosifidis, A. & Zhang, Q. (2022). Collaborative edge computing for distributed CNN inference acceleration using receptive field-based segmentation. Computer Networks, 214, Article 109150. https://doi.org/10.1016/j.comnet.2022.109150

Esterle, L. (2022). Collaborative Systems: Learning and Working Together. CEUR Workshop Proceedings, 3461.

Schaper, M.-M. A., Smith, R. C., Tamashiro, M. A., Van Mechelen, M., Lunding, M. S., Bilstrup, K.-E. K., Kaspersen, M. H., Jensen, K. L., Petersen, M. G. & Iversen, O. S. (2022). Computational Empowerment in Practice: Scaffolding teenagers’ learning about emerging technologies and their ethical and societal impact. International Journal of Child - Computer Interaction, 34, Article 100537. https://doi.org/10.1016/j.ijcci.2022.100537

Hedegaard Morsing, L. & Iosifidis, A. (2022). Continual 3D Convolutional Neural Networks for Real-time Processing of Videos. In S. Avidan, G. Brostow, M. Cissé, G. M. Farinella & T. Hassner (Eds.), Computer Vision – ECCV 2022 - 17th European Conference, 2022, Proceedings (pp. 369-385). Springer. https://doi.org/10.1007/978-3-031-19772-7_22

Hedegaard Morsing, L., Bakhtiarnia, A. & Iosifidis, A. (2022). Continual Transformers: Redundancy-Free Attention for Online Inference. The Eleventh International Conference on Learning Representations. https://arxiv.org/abs/2201.06268

Tamirat, T. W., Pedersen, S. M., Farquharson, R. J., de Bruin, S., Forristal, P. D., Sørensen, C. G., Nuyttens, D., Pedersen, H. H. & Thomsen, M. N. (2022). Controlled traffic farming and field traffic management: Perceptions of farmers groups from Northern and Western European countries. Soil and Tillage Research, 217, Article 105288. https://doi.org/10.1016/j.still.2021.105288

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. Article 1. https://doi.org/10.1186/s43067-022-00043-4

Spasaro, M., Bonen, S., Cooke, G., Jager, T., Nhut, T. D., Sufra, D., Voinigescu, S. P. & Zito, D. (2022). Cryogenic Compact Low-Power 60GHz Amplifier for Spin Qubit Control in Monolithic Silicon Quantum Processors. In 2022 IEEE/MTT-S International Microwave Symposium, IMS 2022 (pp. 164-167). IEEE. https://doi.org/10.1109/IMS37962.2022.9865561

Nhut, T. D., Bonen, S., Cooke, G., Jager, T., Spasaro, M., Sufra, D., Voinigescu, S. P. & Zito, D. (2022). Cryogenic Compact mm-Wave Broadband SPST Switch in 22nm FDSOI CMOS for Monolithic Quantum Processors. In 2022 IEEE/MTT-S International Microwave Symposium, IMS 2022 (pp. 168-171). IEEE. https://doi.org/10.1109/IMS37962.2022.9865577

Macedo, H. D., Højberg, J., Jensen, J. & Thomsen, U. (2022). Data-Driven Extraneous Water Quantification. Abstract from 12th Urban Drainage Modeling Conference. https://udm2022.org/2021/11/09/data-driven-extraneous-water-quantification/

Zehtabiyan-Rezaie, N., Iosifidis, A. & Abkar, M. (2022). Data-driven fluid mechanics of wind farms: A review. Journal of Renewable and Sustainable Energy, 14(3), Article 032703. https://doi.org/10.1063/5.0091980

Böttjer, T., Ørnskov Rønsch, G., Gomes, C., Ramanujan, D., Iosifidis, A. & Larsen, P. G. (2022). Data-Driven Identification of Remaining Useful Life for Plastic Injection Moulds. In A.-L. Andersen, R. Andersen, T. D. Brunoe, M. Stoettrup Schioenning Larsen, K. Nielsen, A. Napoleone & S. Kjeldgaard (Eds.), Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems - Proceedings of the 8th Changeable, Agile, Reconfigurable and Virtual Production Conference CARV 2021 and 10th World Mass Customization and Personalization Conference MCPC 2021 (pp. 431-439). Springer. https://doi.org/10.1007/978-3-030-90700-6_49

Nielsen, A. H. (2022). Data-Driven Weather Forecasting using Deep Learning. [PhD dissertation, Aarhus University]. Aarhus Universitet.

Foldager, L., Kaiser, M. Ø., Chen, G., Jensen, L. D., Kristensen, J. K., Kobek-Kjeldager, C., Thodberg, K., Rong, L. & Herskin, M. S. (2022). Deck height during transport of weaners – piglet height and microclimatic conditions inside trucks. 129-142. Abstract from Symposium i Anvendt Statistik 2022, København, Denmark.

Foldager, L., Kaiser, M., Chen, G., Jensen, L. D., Kristensen, J. K., Kobek-Kjeldager, C., Thodberg, K., Rong, L. & Herskin, M. S. (2022). Deck height during transport of weaners – piglet height and microclimatic conditions inside trucks. In Book of Abstracts of the 73rd Annual Meeting of the European Federation of Animal Science (pp. 181-181). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-937-4

Foldager, L., Kaiser, M. Ø., Chen, G., Jensen, L. D., Kristensen, J. K., Kobek-Kjeldager, C., Thodberg, K., Rong, L. & Herskin, M. S. (2022). Deck height during transport of weaners – piglet height and microclimatic conditions inside trucks. In P. Linde (Ed.), Symposium i anvendt statistik (pp. 129-142). SEGES Innovation. http://www.statistiksymposium.dk/Symposium%202022_Web.pdf

Asif, M. R., Larsen, J. J., Auken, E. & Christiansen, A. V. (2022). Deep Convolutional Auto-Encoder for Automated Processing of Airborne Time-Domain Electromagnetic Data. 1-5. Paper presented at NSG2022 3rd Conference on Airborne, Drone and Robotic Geophysics, Beograd, Serbia. https://doi.org/10.3997/2214-4609.202220038

Hudert, M. M., Elvebakken, M. F., Meagher, M., Mangliar, L., Zhang, X. & Esterle, L. (2022). Deep learning enhanced robotic fabrication of timber-to-timber connections with densified hardwood nails. In Proceedings of the IASS 2022 Symposium affiliated with APCS 2022 conference: Innovation - Sustainability - Legacy (pp. 1740-1748)

Pham, H. X., Ugurlu, H. I., Fevre, J. L., Bardakci, D. & Kayacan, E. (2022). Deep learning for vision-based navigation in autonomous drone racing. In A. Iosifidis & A. Tefas (Eds.), Deep Learning for Robot Perception and Cognition (pp. 371-406). Elsevier. https://doi.org/10.1016/B978-0-32-385787-1.00020-8

Esterle, L. (2022). Deep learning in multiagent systems. In A. Iosifidis & A. Tefas (Eds.), Deep Learning for Robot Perception and Cognition (pp. 435-460). Elsevier. https://doi.org/10.1016/B978-0-32-385787-1.00022-1

Kumar, V., Mukherjee, M., Lloret, J., Zhang, Q. & Kumari, M. (2022). Delay-optimal and Incentive-aware Computation Offloading for Reconfigurable Intelligent Surface-assisted Mobile Edge Computing. IEEE Networking Letters, 4(3), 127-131. https://doi.org/10.1109/LNET.2022.3187720

Gu, X., Wang, X., Feng, Y., Long, Y., Mukherjee, M., Pan, Z., Guo, M. & Zhang, Q. (2022). Demo: TINGLE: Pushing Edge Intelligence in Synchronization and Useful Data Transfer for Human-Robotic Arm Interactions. In INFOCOM WKSHPS 2022 - IEEE Conference on Computer Communications Workshops IEEE. https://doi.org/10.1109/INFOCOMWKSHPS54753.2022.9798353

Dong, Z., Li, N., Iosifidis, A. & Zhang, Q. (2022). Design and Prototyping Distributed CNN Inference Acceleration in Edge Computing. (pp. 72-77). ArXiv. https://doi.org/10.48550/arXiv.2211.13778

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 from Lisbon addictions 2022, Lisabon, Portugal.

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AU Engineering