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Department of Electrical and Computer Engineering

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.

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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. IFAC-PapersOnLine, 58(8), 162-167. https://doi.org/10.1016/j.ifacol.2024.08.067

Rong, L., Kristensen, J. K., Jung, S., Zhang, G., Kobek-Kjeldager, C., Thodberg, K., Foldager, L. & Herskin, M. S. (2024). Air temperature measured by embedded sensors adopted by pig transporting vehicles in a scaled compartment model. In Book of Abstracts of the 75th Annual Meeting of the European Federation of Animal Science (pp. 783-783). Article Session 70, Poster 13 Wageningen Academic Publishers.

Lee, L. H., Braud, T., Zhou, P. Y., Wang, L., Xu, D., Lin, Z., Kumar, A., Bermejo, C. & Hui, P. (2024). All One Needs to Know about Metaverse: A Complete Survey on Technological Singularity, Virtual Ecosystem, and Research Agenda. Foundations and Trends in Human-Computer Interaction, 18(2-3), 100-337. https://doi.org/10.1561/1100000095

Hallerstede, S. & Hatcliff, J. (2024). A Mechanized Semantics for Component-Based Systems in the HAMR AADL Runtime. In J. Cámara & S.-S. Jongmans (Eds.), Formal Aspects of Component Software: 19th International Conference, FACS 2023, Virtual Event, October 19-20, 2023, Revised Selected Papers (1 ed., pp. 45-64). Springer. https://doi.org/10.1007/978-3-031-52183-6_3

Mahto, K. K., Mahato, B., Chandan, B., Das, D., Das, P., Kumari, S., Vita, V., Pavlatos, C. & Fotis, G. (2024). A Modified Criss-Cross-Based T-Type MLI with Reduced Power Components. Technologies, 12(6), Article 90. https://doi.org/10.3390/technologies12060090

Hurst, A. (2024). Analytics Directly on Compressed IoT Data. [PhD dissertation, Aarhus University]. Aarhus University.

Shahgholian, G. & Fathollahi, A. (2024). Analyzing Small-Signal Stability in a Multi-Source Single-Area Power System with a Load-Frequency Controller Coordinated with a Photovoltaic System. AppliedMath, 4(2), 452-467. https://doi.org/10.3390/appliedmath4020024

Esmailbeygi, H., Hatamzadeh, E., Jafarabadi-Ashtiani, S. & Moradi, F. (2024). An Energy Efficient and High-Speed Data Telemetry Receiver Suitable for Simultaneous Inductive Power and Data Telemetry. In 2024 31st IEEE International Conference on Electronics, Circuits and Systems, ICECS 2024 https://doi.org/10.1109/ICECS61496.2024.10849058

Hernández Marcano, N. J., Gjedsted Brask, C., Shi, L. & Jacobsen, R. H. (2024). An Experimental Study of 2.4 GHz LoRa Path Loss for Air-to-Ground Communication in Rural Areas. In 2024 IEEE 100th Vehicular Technology Conference, VTC 2024-Fall - Proceedings IEEE. https://doi.org/10.1109/VTC2024-Fall63153.2024.10757562

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. (pp. 1-4). https://arxiv.org/abs/2405.01617#

Todnem Bach Christensen, L., 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. In 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, FL, USA (pp. 1-4). IEEE. https://doi.org/10.1109/EMBC53108.2024.10781771

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. In L. Bettaieb, N. Ajailia, J. Bennedsen, K. Edstrom, M. N. Singh, R. Lyng, N. Maynard, J. Malmqvist & F. Bystrom (Eds.), 20th International CDIO Conference, CDIO 2024 - Proceedings (pp. 481-494). Chalmers tekniska högskola.

Grombacher, D., Griffiths, M. P., Kass, M. A. & Larsen, J. J. (2024). An investigation of factors affecting the depths of steady-state surface nuclear magnetic resonance signals. Geophysics, 89(2), J9-J17. https://doi.org/10.1190/geo2023-0068.1

Khare, S. K., McLachlan, P., Maurya, P. K. & Larsen, J. J. (2024). An optimized and hybrid gating scheme for the suppression of very low-frequency radios in transient electromagnetic systems. Geoscientific Instrumentation, Methods and Data Systems, 13(1), 27-41. https://doi.org/10.5194/gi-13-27-2024

Khooban, M. H. (Ed.) (2024). Applications of Deep Machine Learning in Future Energy Systems. (1 ed.) Elsevier. https://doi.org/10.1016/C2022-0-03145-7

Zamm, A., Loehr, J. D., Vesper, C., Konvalinka, I., Kappel, S. L., Heggli, O. A., Vuust, P. & Keller, P. E. (2024). A practical guide to EEG hyperscanning in joint action research: from motivation to implementation. Social Cognitive and Affective Neuroscience, 19(1), Article nsae026. https://doi.org/10.1093/scan/nsae026

Jahangir, M. F., Schultz, C. P. L. & Kamari, A. (2024). A review of drivers and barriers of Digital Twin adoption in building project development processes. Journal of Information Technology in Construction, 29, 141-178. https://doi.org/10.36680/j.itcon.2024.008

Pedersen, L. T., Mazur-Milecka, M., Rumiński, J. & Wagner, S. R. (2024). A Review on Machine Learning Deployment Patterns and Key Features in the Prediction of Preeclampsia. Machine Learning and Knowledge Extraction, 6(4), 2515-2569. https://doi.org/10.3390/make6040123

Lee, L.-H., Hosio, S., Braud, T. & Zhou, P. (2024). A Roadmap Toward Metaversity: Recent Developments and Perspectives in Education. In D. Liu, R. Huang, A. H. S. Metwally, A. Tlili & E. Fan Lin (Eds.), Application of the Metaverse in Education (pp. 73-95). Springer Nature. https://doi.org/10.1007/978-981-97-1298-4_5

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

Baghaee Ivriq, S., Laursen, K., Møller Jørgensen, A., Mondal, T., Zamani, M., Rezaeiyan, Y., Corbett, B., Iversen, B. B. & Moradi, F. (2024). A System-Level Feasibility Study of a Lead-Free Ultrasonically Powered Light Delivery Implant for Optogenetics. Advanced Intelligent Systems , 6(3), Article 2300527. https://doi.org/10.1002/aisy.202300527

Bennedsen, J. & Øien, G. E. D. (2024). A unified didactic foundation for Aarhus University's tech faculty: Experiences and impact. In L. Bettaieb, N. Ajailia, J. Bennedsen, K. Edstrom, M. N. Singh, R. Lyng, N. Maynard, J. Malmqvist & F. Bystrom (Eds.), 20th International CDIO Conference, CDIO 2024 - Proceedings (pp. 458-471). Chalmers tekniska högskola.

Johansen, K. W., Schultz, C. P. L. & Teizer, J. (2024). Automated performance assessment of prevention through design and planning (PtD/P) strategies in construction. Automation in Construction, 157, Article 105159. https://doi.org/10.1016/j.autcon.2023.105159

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

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, Article 105849. https://doi.org/10.1016/j.autcon.2024.105849

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

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

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

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, Article e01084. https://doi.org/10.1016/j.susmat.2024.e01084

Gomes, C., Feng, H., Kazemi, Z. & Pierce, K. (2024). Calibration of Models for Digital Twins. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 129-146). Springer. https://doi.org/10.1007/978-3-031-66719-0_6

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 presented at The Association for Research in Vision Annual Meeting 2024, Seattle, Washington, United States.

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. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 257-310). Springer. https://doi.org/10.1007/978-3-031-66719-0_12

Vang, M. Ø., Grombacher, D., Larsen, J. J. & Christiansen, A. V. (2024). Clustering on SNMR and TEM parameters over a saline-freshwater interface to resolve hydrogeological layers. In NSG2024, 30th European Meeting of Environmental and Engineering Geophysics (pp. 1-5). European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.202420102

Strøm, J., Engholm, A. L., Lorenzen, K. P. & Mikkelsen, K. B. (2024). Common sleep data pipeline for combined data sets. PLoS One, 19(8), Article e0307202. https://doi.org/10.1371/journal.pone.0307202

Andersen, S., Laursen, P. H., Wood, G. J., Lyhne, M. D., Madsen, T. L., Hansen, E. S. S., Johansen, P., Kim, W. Y. & Andersen, M. J. (2024). Comparison of admittance and cardiac magnetic resonance generated pressure-volume loops in a porcine model. Physiological Measurement, 45(5), Article 055014. https://doi.org/10.1088/1361-6579/ad4a03

Ferro, M. V., Sørensen, C. G. & Catania, P. (2024). Comparison of different computer vision methods for vineyard canopy detection using UAV multispectral images. Computers and Electronics in Agriculture, 225, Article 109277. https://doi.org/10.1016/j.compag.2024.109277

Sergeeva, A., Christensen, C. B. & Kidmose, P. (2024). Comparison of Spatial Filtering Methods for Ear-EEG ASSR Estimation. In 32nd European Signal Processing Conference, EUSIPCO 2024 - Proceedings (pp. 882-886). IEEE. https://doi.org/10.23919/eusipco63174.2024.10715430

Nawoya, S., Ssemakula, F., Akol, R., Geissmann, Q., Karstoft, H., Bjerge, K., Mwikirize, C., Katumba, A. & Gebreyesus, G. (2024). Computer vision and deep learning in insects for food and feed production: A review. Computers and Electronics in Agriculture, 216, Article 108503. https://doi.org/10.1016/j.compag.2023.108503

Nawoya, S., Geissmann, Q., Karstoft, H., Bjerge, K., Akol, R., Katumba, A., Mwikirize, C. & Gebreyesus, G. (2024). Computer-vision based prediction of body traits and larval sex in black soldier fly. Abstract from Insects for the Green Economy: Sustainable Food
Systems and Livelihoods in Africa, Nairobi, Kenya. https://qgg.au.dk/fileadmin/site_files/mb/QGG/Billeder/FLYgene/book-of-abstracts-insects-for-the-green-economy-conference-feb2024.pdf

Qiao, Z., Pham, X. H., Ramasamy, S., Jiang, X., Kayacan, E. & Sarabakha, A. (2024). Continual Learning for Robust Gate Detection under Dynamic Lighting in Autonomous Drone Racing. In 2024 International Joint Conference on Neural Networks, IJCNN 2024 - Proceedings IEEE. https://doi.org/10.1109/ijcnn60899.2024.10649903

Carreto Picón, G., Oleksiienko, I., Morsing, L. H., Bakhtiarnia, A. & Iosifidis, A. (2024). Continual Low-Rank Scaled Dot-product Attention. https://doi.org/10.48550/arXiv.2412.03214

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

Stanton, E. J., Tønning, P., Ulsig, E. Z., Calmar, S., Stanton, M. A., Thomsen, S. T., Gravesen, K. B., Johansen, P. & Volet, N. (2024). Continuous-wave second-harmonic generation in the far-UVC pumped by a blue laser diode. Scientific Reports, 14(1), Article 3238. https://doi.org/10.1038/s41598-024-53144-7

Hansen, S. T., Thule, C., Gomes, C., Lausdahl, K. G., Madsen, F. P., Abbiati, G. & Larsen, P. G. (2024). Co-simulation at different levels of expertise with Maestro2. Journal of Systems and Software, 209, Article 111905. https://doi.org/10.1016/j.jss.2023.111905

Minh Nguyen, Q., Tran, D. T., Kanniainen, J., Iosifidis, A. & Gabbouj, M. (2024). Cryptocurrency Portfolio Optimization by Neural Networks. In 2023 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 25-32). IEEE. https://doi.org/10.1109/SSCI52147.2023.10371855

Fathollahi, A. & Andresen, B. (2024). Deep deterministic policy gradient for adaptive power system stabilization and voltage regulation. e-Prime - Advances in Electrical Engineering, Electronics and Energy, 9, Article 100675. https://doi.org/10.1016/j.prime.2024.100675

Millinge, O., Böttner, C. & Asif, MR. (2024). Deep Learning based Identification of Oil-Slick Emissions in the Arctic Using Satellite SAR Data. In NSG 2024 4th Conference on Airborne, Drone and Robotic Geophysics (pp. 1-5). European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.202420159

Pauwels, R. & Iosifidis, A. (2024). Deep Learning in Image Processing: Part 1—Types of Neural Networks, Image Segmentation. In Artificial Intelligence in Dentistry (pp. 283-316). Springer. https://doi.org/10.1007/978-3-031-43827-1_17

Pauwels, R. & Iosifidis, A. (2024). Deep Learning in Image Processing: Part 2—Image Enhancement, Reconstruction and Registration. In K. Orhan & R. Jagtap (Eds.), Artificial Intelligence in Dentistry (pp. 317-351). Springer. https://doi.org/10.1007/978-3-031-43827-1_18

Kuntuarova, S., Licklederer, T., Huynh, T., Zinsmeister, D., Hamacher, T. & Perić, V. (2024). Design and simulation of district heating networks: A review of modeling approaches and tools. Energy, 305, Article 132189. https://doi.org/10.1016/j.energy.2024.132189

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