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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Taurone, F., Lucani Rötter, D. E. & Zhang, Q. (2023). Zip to Zip-it: Compression to Achieve Local Differential Privacy. I GLOBECOM 2023 - 2023 IEEE Global Communications Conference (s. 2196-2201). IEEE. https://doi.org/10.1109/GLOBECOM54140.2023.10437448

Tajalli, S. A. M., Tajalli , S. Z., Homayounzadeh, M. & Khooban, M. H. (2023). Zero-Carbon Power-to-Hydrogen Integrated Residential System Over a Hybrid Cloud Framework. IEEE Transactions on Cloud Computing , 11(3), 3099-3110. https://doi.org/10.1109/TCC.2023.3257995

Taurone, F., Lucani, D. E. & Zhang, Q. (2025). Zeal -Differential Privacy Mechanism for IoT Enhancing Compression Efficiency. IEEE Internet of Things Journal. Advance online publication. https://doi.org/10.1109/JIOT.2025.3565175

Aggelopoulou, A. D., Bochtis, D., Fountas, S., Swain, K. C., Gemtos, T. A. & Nanos, G. D. (2011). Yield prediction in apple orchards based on image processing. Precision Agriculture, 12(3), 448-456. https://doi.org/10.1007/s11119-010-9187-0

Sehat, H., Pagnin, E. & Lucani Rötter, D. E. (2021). Yggdrasil: Privacy-Aware Dual Deduplication in Multi Client Settings. I ICC 2021 - IEEE International Conference on Communications, Proceedings IEEE. https://doi.org/10.1109/ICC42927.2021.9500816

Laakom, F., Raitoharju, J., Iosifidis, A. & Gabbouj, M. (2023). WLD-Reg: A Data-Dependent Within-Layer Diversity Regularizer. I B. Williams, Y. Chen & J. Neville (red.), AAAI-23 Technical Tracks 7 (s. 8421-8429). Artikel 190493 AAAI Press.

Laakom, F., Raitoharju, J., Iosifidis, A. & Gabbouj, M. (2021). Within-layer Diversity Reduces Generalization Gap. Afhandling præsenteret på International Conference on Machine Learning Workshop on Information Theoretic Methods for Rigorous, Responsible, and Reliable Machine Learning, 2021. https://arxiv.org/pdf/2106.06012.pdf

Bro Damsgaard, S., Hernandez Marcano, N. J., Nørremark, M., Jacobsen, R. H., Rodríguez, I. & Mogensen, P. (2022). Wireless Communications for Internet of Farming: An Early 5G Measurement Study. IEEE Access, 10, 105263-105277. https://doi.org/10.1109/ACCESS.2022.3211096

Khan, T. M., Khan, M. A. U., Rehman, N. U., Naveed, K., Afridi, I. U., Naqvi, S. S. & Raazak, I. (2022). Width-wise vessel bifurcation for improved retinal vessel segmentation. Biomedical Signal Processing and Control, 71(Part A), Artikel 103169. https://doi.org/10.1016/j.bspc.2021.103169

Ulsig, E., Madsen, M., J. Stanton, E., Reddy, D., Leger, A., Sørensen, S., Degli-Eredi, I., Stevens, M., Hamel, D., Shalm, L., Mirin, R. & Volet, N. (2024). Widely tunable integrated GaAs and AlGaAs platforms for efficient second-order frequency conversion. https://doi.org/10.1364/opticaopen.25540030.v1

Ramakrishna, S., Li, F., Kijeńska-Gawrońska, E. & Agarwala, S. (2023). Where is science heading? The main challenges before today’s scientists? Drying Technology, 41(6), 812-816. https://doi.org/10.1080/07373937.2023.2205799

Lee, L. H., Zhou, P. Y., Zhang, C. & Hosio, S. (2025). What if we have Metaverse GPT? Content singularity and human-Metaverse interaction in the AIGC era. I Human-Centered Metaverse: Concepts, Methods, and Applications (s. 13-28). Elsevier. https://doi.org/10.1016/B978-0-443-21996-2.00015-2

Böhnert, T., Rezaeiyan, Y., Claro, M. S., Benetti, L., Jenkins, A. S., Farkhani, H., Moradi, F. & Ferreira, R. (2023). Weighted spin torque nano-oscillator system for neuromorphic computing. Nature Communication Engineering, 2, Artikel 65. https://doi.org/10.1038/s44172-023-00117-9

Adamsen, A. P. S., Kastensand, M., Larsen, P. F., Kristensen, E. F., Kristensen, J. K., Holm, M. & Guldberg, L. B. (2023). Weekly discharge of slurry with collection and destruction of methane gases from covered manure slurry storages can more than halve climate gas emissions from pig production. Abstract fra Agri Food and Climate Circle 2023, Copenhagen, Danmark.

Farkhani, S., Skovsen, S. K., Dyrmann, M., Nyholm Jørgensen, R. & Karstoft, H. (2021). Weed classification using explainable multi-resolution slot attention. Sensors, 21(20), Artikel 6705. https://doi.org/10.3390/s21206705

Oshnoei, S., Aghamohammadi, M. R., Heidary, J. & Khooban, M. H. (2024). Watermarking-Based Defense Mechanism in LFC of Electricity Grids Compromised by Covert Attacks. IEEE Transactions on Circuits and Systems II: Express Briefs, 71(10), 4576-4580. https://doi.org/10.1109/TCSII.2024.3396734

Volet, N., Ulsig, E. Z., Degli-Eredi, I., Tønning, P. & Stanton, E. J. (2021). Walk-off effect in nonlinear crystals suitable for UVC generation. I P. G. Schunemann & K. L. Schepler (red.), Nonlinear Frequency Generation and Conversion: Materials and Devices XX Artikel 116701O SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.2581674

Nørremark, M., Hansen, E. M. & Thomsen, I. K., (2022). Vurderingen af miljøeffekten ved variabel tildeling af husdyrgødning under præcisionslandbrug, Nr. 2021-0310376, 12 s., apr. 21, 2022. Rådgivningsnotat fra DCA – National Center for Fødevarer og Jordbrug

Oleksiienko, I., Nousi, P., Passalis, N., Tefas, A. & Iosifidis, A. (2024). Vpit: real-time embedded single object 3D tracking using voxel pseudo images. Neural Computing and Applications, 36(32), 20341-20354. https://doi.org/10.1007/s00521-024-10259-2

Das, K. K., Soni, S., Moradi, F., Shreya, S. & Kaushik, B. K. (2024). Vortex Spin Torque Nano Oscillator-based PUF and TRNG Design for Lightweight Security Solutions. I 2024 8th IEEE Electron Devices Technology & Manufacturing Conference (EDTM) IEEE. https://doi.org/10.1109/EDTM58488.2024.10511353

Layek, K., Nair, S. V., Hari Krishnan, P. & Hatua, K. (2024). Voltage Angle-Based Torque Control of Dual Three-Phase Interior Permanent Magnet Synchronous Motor Considering Mismatch in Winding Parameters. IEEE Transactions on Industrial Electronics, 71(9), 10119-10129. https://doi.org/10.1109/TIE.2023.3329210

Tashakor, N., Naseri, F., Fang, J., Schotten, H. & Goetz, S. (2022). Voltage and Resistance Estimation of Battery-Integrated Cascaded Converters. I IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society IEEE. https://doi.org/10.1109/IECON49645.2022.9968369

Amer, A. H. K. S. A., Mehndiratta, M., Sejersen, J. L. F., Pham, X. H. & Kayacan, E. (2024). Visual Tracking Nonlinear Model Predictive Control Method for Autonomous Wind Turbine Inspection. I 2023 21st International Conference on Advanced Robotics (ICAR) (s. 431-438). IEEE. https://doi.org/10.1109/ICAR58858.2023.10406329

Rask, J. K., Madsen, F. P., Battle, N., Macedo, H. D. & Larsen, P. G. (2021). Visual Studio Code VDM Support. I J. Fitzgerald, T. Oda & H. D. Macedo (red.), Proceedings of the 18th International Overture Workshop (s. 35-50) https://arxiv.org/pdf/2101.07261.pdf

Staugaard, J., Bennedsen, J., Seidl, C., Nicolajsen, S., Fink, M. & Brabrand, C. (2024). Visualizing the Conceptual Framework of Object Orientation for Novice Programmers. I 2024 IEEE Frontiers in Education Conference, FIE 2024 - Proceedings IEEE. https://doi.org/10.1109/FIE61694.2024.10893141

Leporowski, B. & Iosifidis, A. (2021). Visualising deep network time-series representations. Neural Computing and Applications, 33(23), 16489-16498. https://doi.org/10.1007/s00521-021-06244-8

H. Bohlbro, C., Macedo, H. D., Tola, D., Esterle, L. & Larsen, P. G. (2024). Visualisation in a Digital Twin Context. I J. Fitzgerald, C. Gomes & P. G. Larsen (red.), The Engineering of Digital Twins (s. 175-188). Springer. https://doi.org/10.1007/978-3-031-66719-0_8

Yildiz, E., Møller, C., Bilberg, A. & Rask, J. K. (2021). Virtual Prototyping: Evaluating the Digital Twin Based Virtual Factory for New Product Introduction. Complex Systems Informatics and Modeling Quarterly, 29(29), 1-16. Artikel 163. https://doi.org/10.7250/csimq.2021-29.01

Abrazeh, S., Mohseni, S.-R., Jahanshahi Zeitouni, M., Parvaresh, A., Fathollahi, A., Gheisarnejad Chirani, M. & Khooban, M. H. (2023). Virtual Hardware-in-the-Loop FMU Co-Simulation Based Digital Twins for Heating, Ventilation, and Air-Conditioning (HVAC) Systems. IEEE Transactions on Emerging Topics in Computational Intelligence, 7(1), 65-75. https://doi.org/10.1109/TETCI.2022.3168507

Khare, S. K., Gaikwad, N. & Bajaj, V. (2022). VHERS: A Novel Variational Mode Decomposition and Hilbert Transform-Based EEG Rhythm Separation for Automatic ADHD Detection. IEEE Transactions on Instrumentation and Measurement, 71, 1-10. Artikel 4008310. https://doi.org/10.1109/TIM.2022.3204076

Shreya, S., Rezaeiyan, Y., Jenkins, A., Böhnert, T., Farkhani, H., Ferreira, R. & Moradi, F. (2022). Verilog-A-Based Analytical Modeling of Vortex Spin-Torque Nano Oscillator. IEEE Transactions on Electron Devices, 69(8), 4651-4658. https://doi.org/10.1109/TED.2022.3179994

Hansen, S. T., Gomes, C., Palmieri, M., Thule, C., van de Pol, J. & Woodcock, J. (2021). Verification of Co-simulation Algorithms Subject to Algebraic Loops and Adaptive Steps. I A. L. Lafuente & A. Mavridou (red.), Formal Methods for Industrial Critical Systems (s. 3-20). Springer. https://doi.org/10.1007/978-3-030-85248-1_1

Esterle, L., Porter, B. & Woodcock, J. (2021). Verification and Uncertainties in Self-integrating System. I 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C) (s. 220-225) https://doi.org/10.1109/ACSOS-C52956.2021.00050

Hansen, S. T., Thule, C., Gomes, C., van de Pol, J., Palmieri, M., Inci, E. O., Madsen, F., Alfonso, J., Castellanos, J. Á. & Rodriguez, J. M. (2022). Verification and synthesis of co-simulation algorithms subject to algebraic loops and adaptive steps. International Journal on Software Tools for Technology Transfer, 24(6), 999-1024. https://doi.org/10.1007/s10009-022-00686-8

Lillelund, C. M., Pedersen, C. F., Harbo, M. & Fibiger Smed, C. (2021). Vejen til genoptræning går gennem data. Medicoteknik, 8(3), 18-19. https://ipaper.ipapercms.dk/TechMedia/Medicoteknik/2021/3/?page=18

Oda, T., Kusakabe, S., Chang, H.-M. & Larsen, P. G. (2022). VDM-SL in action: A FRAM-based approach to contextualise formal specifications. I H. D. Macedo & K. Pierce (red.), Proceedings of the 20th International Overture Workshop (s. 5-18) https://doi.org/10.48550/arXiv.2208.10233

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

Sharma, B., Bhutia, P. R., Raj, R. K., Chettri, B., Kaushik, B. K. & Shreya, S. (2025). VCMA Gradient-Driven Skyrmion on a Trapezoidal Nanotrack for Racetrack Memory Application. IEEE Open Journal of Nanotechnology, 6, 44-50. https://doi.org/10.1109/OJNANO.2025.3550173

Akhbari, A., Rahimi, M. & Khooban, M. H. (2023). Various Control Strategies Performance Assessment of the DFIG wind turbine connected to a DC grid. IET Electric Power Applications, 17(5), 687-708. https://doi.org/10.1049/elp2.12297

Oleksiienko, I., Nousi, P., Passalis, N., Tefas, A. & Iosifidis, A. (2023). Variational Voxel Pseudo Image Tracking. I 2023 IEEE Symposium Series on Computational Intelligence (SSCI) (s. 323-328). IEEE. https://doi.org/10.1109/SSCI52147.2023.10371810

Oleksiienko, I., Tran, D. T. & Iosifidis, A. (2022). Variational Neural Networks implementation in Pytorch and JAX[Formula presented]. Software Impacts, 14, Artikel 100431. https://doi.org/10.1016/j.simpa.2022.100431

Oleksiienko, I., Tran, D. T. & Iosifidis, A. (2023). Variational Neural Networks. Procedia Computer Science, 222, 104-113. https://doi.org/10.1016/j.procs.2023.08.148

Naveed, K. & Ur Rehman, N. (2024). Variational Mode Decomposition Denoising Using Anderson-Darling Statistics. I 2024 9th International Conference on Frontiers of Signal Processing, ICFSP 2024 (s. 189-193). IEEE. https://doi.org/10.1109/ICFSP62546.2024.10785266

Naveed, K., Meldgaard Madsen, L., Grombacher, D. & Larsen, J. J. (2023). Variational Mode Decomposition-Based Processing of Time-Domain Induced Polarization Data. Abstract fra NSG2023 29th European Meeting of Environmental and Engineering Geophysics, Edinburgh , Storbritannien. https://doi.org/10.3997/2214-4609.202320133

Naveed, K. & Larsen, J. J. (2024). Variational Mode Decomposition Based Processing of Surface NMR Data. I NSG2024, 30th European Meeting of Environmental and Engineering Geophysics European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.202420100

Magris, M. & Iosifidis, A. (2023). Variational Inference for GARCH-family Models. I ICAIF 2023 - 4th ACM International Conference on AI in Finance (s. 541-548). Association for Computing Machinery, Inc.. https://doi.org/10.1145/3604237.3626863

Moltke, A., R Smith, C., I Miakota, D., Jektvik, C. D., Davidsen, R. S., Canulescu, S. & Bang, O. (2024). UV source for solar cell processing and scatterometry. I Frontiers in Ultrafast Optics: : Biomedical, Scientific, and Industrial Applications XXIV SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.3002225

Haiyang, Y., Ruige, G., Zhongda, Z., Yuzhang, Z., Xiaobo, Z., Tao, L. & Haiyan, W. (2025). U-TransCNN: A U-shape transformer-CNN fusion model for underwater image enhancement. Displays, 88, Artikel 103047. https://doi.org/10.1016/j.displa.2025.103047

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