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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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Rezaeiyan, Y., Lykkeberg Madsen, N., Bohnert, T., Zamani, M., Shreya, S., Paz, E., Farkhani, H., Ferreira, R. & Moradi, F. (2023). A low-noise high-linear wide dynamic-range MTJ-based magnetic field sensor. In 2023 IEEE Nordic Circuits and Systems Conference (NorCAS) IEEE. https://doi.org/10.1109/NorCAS58970.2023.10305454

Waheed, H., Akram, W., Islam, S. U., Hadi, A., Boudjadar, J. & Zafar, N. (2023). A Mobile-Based System for Detecting Ginger Leaf Disorders Using Deep Learning. Future Internet, 15(3), Article 86. https://doi.org/10.3390/fi15030086

Gil Arboleda, S., Mikkelsen, P. H., Tola, D., Schou, C. & Larsen, P. G. (2023). A Modeling Approach for Composed Digital Twins in Cooperative Systems. In 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation, ETFA 2023 (pp. 1-8). IEEE. https://doi.org/10.1109/ETFA54631.2023.10275601

Lehner, D., Gil Arboleda, S., Mikkelsen, P. H., Larsen, P. G. & Wimmer, M. (2023). An Architectural Extension for Digital Twin Platforms to Leverage Behavioral ModelsBehaviors. In 2023 IEEE 19th International Conference on Automation Science and Engineering, CASE 2023 (pp. 1-8). IEEE. https://doi.org/10.1109/CASE56687.2023.10260417

Wang, Z., Gao, R., Wang, P. & Chen, H. (2023). A new perspective on air quality index time series forecasting: A ternary interval decomposition ensemble learning paradigm. Technological Forecasting and Social Change, 191, Article 122504. https://doi.org/10.1016/j.techfore.2023.122504

Khare, S. K. & Acharya, U. R. (2023). An explainable and interpretable model for attention deficit hyperactivity disorder in children using EEG signals. Computers in Biology and Medicine, 155, Article 106676. https://doi.org/10.1016/j.compbiomed.2023.106676

Oshnoei, S., Aghamohammadi, M. R., Oshnoei , S., Sahoo, S., Fathollahidehkordi, A. & Khooban, M. H. (2023). A novel virtual inertia control strategy for frequency regulation of islanded microgrid using two-layer multiple model predictive control. Applied Energy, 343, Article 121233. https://doi.org/10.1016/j.apenergy.2023.121233

Laursen, K., Zamani, M., Rezaeiyan, Y., Hosseini, S., Mondal, T., Corbett, B., Ouagazzal, A. M., Amalric, M. & Moradi, F. (2023). An Ultrasonically-Powered System for 1.06mm³ Implantable Optogenetics and Drug Delivery Dust. IEEE Transactions on Circuits and Systems II: Express Briefs, 70(10), 3937-3941. https://doi.org/10.1109/TCSII.2023.3289028

Yaacob, H., Hossain, F., Shari, S., Khare, S. K., Ooi, C. P. & Rajendra Acharya, U. (2023). Application of Artificial Intelligence Techniques for Brain-Computer Interface in Mental Fatigue Detection: A Systematic Review (2011-2022). IEEE Access, 11, 74736-74758. https://doi.org/10.1109/ACCESS.2023.3296382

Khare, S. K., March, S., Barua, P. D., Gadre, V. M. & Acharya, U. R. (2023). Application of data fusion for automated detection of children with developmental and mental disorders: A systematic review of the last decade. Information Fusion, 99, Article 101898. https://doi.org/10.1016/j.inffus.2023.101898

Hallerstede, S. & Kamburjan, E. (2023). Applications of Formal Methods and Digital Twins. CEUR Workshop Proceedings, 3507. https://ceur-ws.org/Vol-3507/xpreface.pdf

Böttjer, T., Tola, D., Kakavandi, F., Wewer, C. R., Ramanujan, D., Gomes, C., Larsen, P. G. & Iosifidis, A. (2023). A review of unit level digital twin applications in the manufacturing industry. CIRP Journal of Manufacturing Science and Technology, 45, 162-189. https://doi.org/10.1016/j.cirpj.2023.06.011

Griffiths, M. P., Grombacher, D., Kass, M. A., Vang, M., Liu, L. & Larsen, J. J. (2023). A surface NMR forward in a dot product. Geophysical Journal International, 234(3), 2284-2290. https://doi.org/10.1093/gji/ggad203

Jensen, R. I. T., Ferwerda, J., Jørgensen, K. S., Jensen, E. R., Borg, M., Krogh, M. P., Jensen, J. B. & Iosifidis, A. (2023). A synthetic data set to benchmark anti-money laundering methods. Scientific Data, 10(1), Article 661. https://doi.org/10.1038/s41597-023-02569-2

Tabar, Y. R., Mikkelsen, K. B., Shenton, N., Kappel, S. L., Nikbakht, R., Toft, H. O., Henriksen, C. H., Hemmsen, M. C., Rank, M. L., Otto, M. & Kidmose, P. (2023). At-home sleep monitoring using generic ear-EEG. Frontiers in Neuroscience, 17, Article 987578. https://doi.org/10.3389/fnins.2023.987578

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.

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