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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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Pedersen, L., Wagner, S., Skov, H. & Sandager, P. (2023). A Time Study for the Analysis of the Potential for the Automated Stepwise Screening Program for Preeclampsia at Week 12 of Gestation. In G. A. Papadopoulos, A. Achilleos, E. Pissaloux & R. Velázquez (Eds.), ICT for Health, Accessibility and Wellbeing - 2nd International Conference, IHAW 2022, Revised Selected Papers (pp. 189-199). Springer. https://doi.org/10.1007/978-3-031-29548-5_13

Li, N., Iosifidis, A. & Zhang, Q. (2023). Attention-Based Feature Compression for CNN Inference Offloading in Edge Computing. In M. Zorzi, M. Tao & W. Saad (Eds.), ICC 2023 - IEEE International Conference on Communications (pp. 967-972). IEEE. https://doi.org/10.1109/ICC45041.2023.10279110

Shabani, M., Tran, D. T., Kanniainen, J. & Iosifidis, A. (2023). Augmented bilinear network for incremental multi-stock time-series classification. Pattern Recognition, 141, Article 109604. https://doi.org/10.1016/j.patcog.2023.109604

Asif, M. R., Kass, A., Westerhoff, R., Rawlinson, Z. & Christiansen, A. V. (2023). Automated data processing of a large-scale airborne time-domain electromagnetic survey by a deep learning expert system. Paper presented at 8th International Workshop on Airborne Electromagnetics, Queensland, Australia.

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. Paper presented at NSG2023 29th European Meeting of Environmental and Engineering Geophysics, Edinburgh , United Kingdom. https://doi.org/10.3997/2214-4609.202320057

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, Article 104496. https://doi.org/10.1016/j.bspc.2022.104496

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

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

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, No. 2023-0543874, 8 p., Aug 23, 2023. Rådgivningsnotat fra DCA - Nationalt Center for Fødevarer og Jordbrug

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

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

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. In 2023 27th International Conference on Methods and Models in Automation and Robotics, MMAR 2023 - Proceedings (pp. 63-68). IEEE. https://doi.org/10.1109/MMAR58394.2023.10242467

Sejersen, J. L. F. & Kayacan, E. (2023). CAMETA: Conflict-Aware Multi-Agent Estimated Time of Arrival Prediction for Mobile Robots. 9254-9261. Paper presented at 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Detroit, Michigan, United States. https://doi.org/10.1109/IROS55552.2023.10341937

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, Article 108860. https://doi.org/10.1016/j.est.2023.108860

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

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

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

Fiorelli, R., Peralías, E., Méndez-Romero, R., Rajabali, M., Kumar, A., Zahedinejad, M., Åkerman, J., Moradi, F., Serrano-Gotarredona, T. & Linares-Barranco, B. (2023). CMOS Front End for Interfacing Spin-Hall Nano-Oscillators for Neuromorphic Computing in the GHz Range. Electronics, 12(1), Article 230. https://doi.org/10.3390/electronics12010230

Zhang, B., Yan, S., Li, B., Wu, S., Feng, H., Gao, X., Song, X. & Siddique, K. H. M. (2023). Combining organic and chemical fertilizer plus water-saving system reduces environmental impacts and improves apple yield in rainfed apple orchards. Agricultural Water Management, 288, Article 108482. https://doi.org/10.1016/j.agwat.2023.108482

Armacki, A., Milosevic, N., Bajovic, D., Kar, S., Jakovetic, D., Bakhtiarnia, A., Esterle, L., Muscat, A. & Festi, T. (2023). Communication efficient model-aware federated learning for visual crowd counting and density estimation in smart cities. In 31st European Signal Processing Conference, EUSIPCO 2023 - Proceedings (pp. 875-879). European Signal Processing Conference, EUSIPCO. https://doi.org/10.23919/EUSIPCO58844.2023.10289938

Glukhov, A., Bridarolli, D., Ricci, S., Li, R., Shreya, S., Farkhani, H., Moradi, F. & Ielmini, D. (2023). Compact Modeling of Resistive Switching Memory (RRAM) With Voltage and Temperature Dependences. In 2023 IEEE Nanotechnology Materials and Devices Conference (NMDC) (pp. 793-797). IEEE. https://doi.org/10.1109/NMDC57951.2023.10343984

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), Article ezad164. https://doi.org/10.1093/ejcts/ezad164

Meldgaard Madsen, L., Asif, M. R., Maurya, P. K., Kühl, A. K., Domenzain, D., Jensen, C., Martin, T., Bastani, M. & Persson, L. (2023). Comparison of tTEM-IP and ERT-IP: Cases from Mine Tailing Sites in Sweden. Abstract from NSG2023 29th European Meeting of Environmental and Engineering Geophysics, Edinburgh , United Kingdom. https://doi.org/10.3997/2214-4609.202320114

Agerskov, J., Nielsen, K. & Pedersen, C. F. (2023). Computationally Efficient Labeling of Cancer-Related Forum Posts by Non-Clinical Text Information Retrieval. SN Computer Science, 4(6), Article 711. https://doi.org/10.1007/s42979-023-02244-8

Rafiei Foroushani, M., Raitoharju, J. & Iosifidis, A. (2023). Computer Vision on X-Ray Data in Industrial Production and Security Applications: A Comprehensive Survey. IEEE Access, 11, 2445 - 2477. https://doi.org/10.1109/ACCESS.2023.3234187

Legaard, C. M., Schranz, T., Schweiger, G., Drgona, J., Falay, B., Gomes, C., Iosifidis, A., Abkar, M. & Larsen, P. G. (2023). Constructing Neural Network Based Models for Simulating Dynamical Systems. ACM Computing Surveys, 55(11), 1-34. Article 236. https://doi.org/10.1145/3567591

Hedegaard, L. & Iosifidis, A. (2023). Continual Inference: A Library for Efficient Online Inference with Deep Neural Networks in PyTorch. In L. Karlinsky, T. Michaeli & K. Nishino (Eds.), Computer Vision – ECCV 2022 Workshops, Proceedings (pp. 21-34). Springer. https://doi.org/10.1007/978-3-031-25082-8_2

Hedegaard Morsing, L., Heidari, N. & Iosifidis, A. (2023). Continual Spatio-Temporal Graph Convolutional Networks. Pattern Recognition, 140(C), Article 109528. https://doi.org/10.1016/j.patcog.2023.109528

Hedegaard Morsing, L., Bakhtiarnia, A. & Iosifidis, A. (2023). Continual Transformers: Redundancy-Free Attention for Online Inference. https://openreview.net/forum?id=PolHquob8M7

Badenhorst, W., Jensen, C. M., Jakobsen, U., Esfahani, Z. & Murtomäki, L. (2023). Control-Oriented Electrochemical Model and Parameter Estimation for an All-Copper Redox Flow Battery. Batteries, 9(5), Article 272. https://doi.org/10.3390/batteries9050272

Esfahani, Z. (2023). Copper-Based Redox Flow Batteries for Frequency Containment Reservation (FCR) Provision.

Ulsig, E. Z., Stanton, E. J., Reddy, D. V., Shalm, K., Volet, N. & Mirin, R. (2023). Correlated Photon Pairs Obtained by SPDC in AlGaAs-OI Waveguides. In Quantum 2.0: Proceedings Optica Quantum 2.0 Conference and Exhibition (pp. QTh4C-2) https://doi.org/10.1364/QUANTUM.2023.QTh4C.2

Alfalouji, Q., Schranz, T., Falay, B., Wilfling, S., Exenberger, J., Mattausch, T., Gomes, C. & Schweiger, G. (2023). Co-simulation for buildings and smart energy systems — A taxonomic review. Simulation Modelling Practice and Theory, 126, Article 102770. https://doi.org/10.1016/j.simpat.2023.102770

Naseri, F., Kazemi, Z., Larsen, P. G., Arefi, M. M. & Schaltz, E. (2023). Cyber-Physical Cloud Battery Management Systems: Review of Security Aspects. Batteries, 9(7), Article 382. https://doi.org/10.3390/batteries9070382

Shabani, M. (2023). Data-driven Inter-Stock Predictive Analytics. [PhD dissertation, Aarhus University]. Aarhus University.

Eriksen, T. & Rehman, N. U. (2023). Data-driven nonstationary signal decomposition approaches: a comparative analysis. Scientific Reports, 13(1), Article 1798. https://doi.org/10.1038/s41598-023-28390-w

Amarloo, A., Cinnella, P., Iosifidis, A., Forooghi, P. & Abkar, M. (2023). Data-driven Reynolds stress models based on the frozen treatment of Reynolds stress tensor and Reynolds force vector. Physics of Fluids, 35(7), Article 075154. https://doi.org/10.1063/5.0160977

Ghassabi, K., Pahlevani, P. & Lucani Rötter, D. E. (2023). Deduplication of Textual Data by NLP Approaches. In 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring) IEEE. https://doi.org/10.1109/VTC2023-Spring57618.2023.10199538

Li, H., Zhang, Q. & Kuldeep, G. (2023). Demo: 3TierView: A Three-tier Privacy-preserving Live Video Surveillance IoT System. In MobiSys '23: Proceedings of the 21st Annual International Conference on Mobile Systems, Applications and Services (pp. 594–595). Association for Computing Machinery. https://doi.org/10.1145/3581791.3597289

Andalibi, M., Shourangizhaghighi, A., Hajihosseini, M., Saaed Madani, S., Ziebert, C. & Boudjadar, J. (2023). Design and Simulation-Based Optimization of an Intelligent Autonomous Cruise Control System. Computers, 12(4), Article 84. https://doi.org/10.3390/computers12040084

Jacobsen, R. H., Matlekovic, L., Shi, L., Malle, N., Ayoub, N., Hageman, K., Hansen, S., Nyboe, F. F. & Ebeid, E. (2023). Design of an Autonomous Cooperative Drone Swarm for Inspections of Safety Critical Infrastructure. Applied Sciences (Switzerland), 13(3), Article 1256. https://doi.org/10.3390/app13031256

Naseri, F., Karimi, S., Farjah, E. & Setoodeh, P. (2023). Design of a Recommender System with Safe Driving Mode Based on State-of-Function Estimation in Electric Vehicle Drivetrains with Battery/Supercapacitor Hybrid Energy Storage System. Designs, 7(1), Article 25. https://doi.org/10.3390/designs7010025

Skovsen, S. K., Kutugata, M., Jennewein, J., Reberg-Horton, C. S. & Mirsky, S. B. (2023). Detailed Species Competition Mapping of Mixed Cover Crop Species Using Tractor Mounted Color Camera and Computer Vision. Abstract from 2023 ASA/CSSA/SSSA International Annual Meeting, St. Louis, Missouri, United States.

Jakobsen, M. O., Herskind, E. S., Pedersen, C. F. & Knudsen, M. B. (2023). Detecting insufficient lubrication in rolling bearings, using a low cost MEMS microphone to measure vibrations. Mechanical Systems and Signal Processing, 200, Article 110553. https://doi.org/10.1016/j.ymssp.2023.110553

Musaeus, C. S., Frederiksen, K. S., Andersen, B. B., Høgh, P., Kidmose, P., Fabricius, M., Hribljan, M. C., Hemmsen, M. C., Rank, M. L., Waldemar, G. & Kjær, T. W. (2023). Detection of subclinical epileptiform discharges in Alzheimer's disease using long-term outpatient EEG monitoring. Neurobiology of Disease, 183, Article 106149. https://doi.org/10.1016/j.nbd.2023.106149

Wang, Y., Faurby, C. F. D., Ruf, F., Sund, P. I., Nielsen, K., Volet, N., Heck, M. J. R., Bart, N., Wieck, A. D., Ludwig, A., Midolo, L., Paesani, S. & Lodahl, P. (2023). Deterministic photon source interfaced with a programmable silicon-nitride integrated circuit. npj Quantum Information, 9(1), Article 94. https://doi.org/10.1038/s41534-023-00761-1

Øien, G. E. D. & Bennedsen, J. (2023). DEVELOPING A DIDACTIC FOUNDATION FOR THE TECH FACULTY AT AARHUS UNIVERSITY. In R. Lyng, J. Bennedsen, L. Bettaieb, N. R. Bodsberg, K. Edstrom, M. S. Guojonsdottir, J. Roslof, O. K. Solbjorg & G. Oien (Eds.), 19th CDIO International Conference: Proceedings - Full Papers (pp. 45-55). NTNU Norwegian University of Science and Technology. https://www.ntnu.edu/documents/1308247420/0/CDIO+2023+Proceedings.pdf/6989d202-864d-52e5-fee7-15d84a281f41?t=1697116952671

Fernández Khatiboun, D., Rezaeiyan, Y., Ronchini, M., Sadeghi, M., Zamani, M. & Moradi, F. (2023). Digital Hardware Implementation of ReSuMe Learning Algorithm for Spiking Neural Networks. In 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) IEEE. https://doi.org/10.1109/EMBC40787.2023.10340282

Talasila, P., Gomes, C., Mikkelsen, P. H., Arboleda, S. G., Kamburjan, E. & Larsen, P. G. (2023). Digital Twin as a Service (DTaaS): A Platform for Digital Twin Developers and Users. https://doi.org/10.1109/SWC57546.2023.10448890

Feng, H. (2023). Digital Twin Engineering with an Application to an Incubator. [PhD dissertation, Aarhus University]. Aarhus Universitet.

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