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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Shabani, M. & Iosifidis, A. (2020). Low-Rank Temporal Attention-Augmented Bilinear Network for financial time-series forecasting. I 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020 (s. 2156-2161). artikel 9308440 IEEE. https://doi.org/10.1109/SSCI47803.2020.9308440

Shabani, M., Tran, D. T., Magris, M., Kanniainen, J. & Iosifidis, A. (2022). Multi-head Temporal Attention-Augmented Bilinear Network for Financial time series prediction. I 30th European Signal Processing Conference, EUSIPCO 2022 - Proceedings (s. 1487-1491). IEEE. https://doi.org/10.23919/EUSIPCO55093.2022.9909957

Shabani, M., Tran, D. T., Kanniainen, J. & Iosifidis, A. (2023). Augmented Bilinear Network for Incremental Multi-Stock Time-Series Classification. I Pattern Recognition (Bind 141, s. 109604). Elsevier. https://doi.org/10.1016/j.patcog.2023.109604

Shabani, M., Magris, M., Tzagkarakis, G., Kanniainen, J. & Iosifidis, A. (2023). Predicting the State of Synchronization of Financial Time Series using Cross Recurrence Plots. I Neural Computing and Applications (Bind 35, s. 18519–18531). Springer. https://doi.org/10.1007/s00521-023-08674-y

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

Sergeeva, A., Christensen, C. B. & Kidmose, P. (2022). Investigation of the Effect of Spatial Filtering for Detecting Auditory Steady-State Responses Recorded from Ear-EEG. I 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022 (s. 56-59). IEEE. https://doi.org/10.1109/EMBC48229.2022.9871170

Sergeeva, A. (2023). Towards Ear-EEG Based Hearing Assessment Using Natural Sounds. Aarhus University.

Seker, M., Männistö, A., Iosifidis, A. & Raitoharju, J. (2021). Automatic Main Character Recognition for Photographic Studies. I IEEE 23rd International Workshop on Multimedia Signal Processing, MMSP 2021 IEEE. https://doi.org/10.1109/MMSP53017.2021.9733624

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

Sehat, H. (2023). Dual Deduplication in multi-client setting and its applications. Aarhus Universitet.

Schultz, C. P. L. & Kamari, A. (2021). Diversity in Renovation Design: Theoretical Foundations of the Renovation Domain Model. Journal of Computing in Civil Engineering, 35(4), artikel 04021006. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000969

Schultz, C. P. L., Zayed, Y. N. H., Kristoffersen, A. E., Lohm, G. & Kamari, A. (2023). Towards a human-centred framework for representing and reasoning about social values in buildings. 1-10. Afhandling præsenteret på 30th EG-ICE: International Conference on Intelligent Computing in Engineering. https://www.ucl.ac.uk/bartlett/construction/sites/bartlett_construction/files/towards_a_human-centred_framework_for_representing_and_reasoning_about_social_values_in_buildings.pdf

Schranz, T., Exenberger, J., Legaard, C. M., Drgona, J. & Schweiger, G. (2023). Energy prediction under changed demand conditions: robust machine learning models and input feature combinations. I BS 2021 - Proceedings of Building Simulation 2021: 17th Conference of IBPSA (s. 3268 - 3275). International Building Performance Association (IBPSA). https://doi.org/10.26868/25222708.2021.30806

Schranz, T., Legaard, C. M., Tola, D. & Schweiger, G. (2021). Portable runtime environments for Python-based FMUs: Adding Docker support to UniFMU. I Proceedings of 14th Modelica Conference 2021 (s. 419-424) https://doi.org/10.3384/ecp21181419

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, artikel 100537. adv. onlinepublikation. https://doi.org/10.1016/j.ijcci.2022.100537

Scardera, G., Wang, S., Zhang, Y., Umair Khan, M., Zou, S., Zhang, D., Davidsen, R. S., Hansen, O., Mai, L., Payne, D. N. R., Hoex, B. & Abbott, M. D. (2021). On the enhanced phosphorus doping of nanotextured black silicon. IEEE Journal of Photovoltaics, 11(2), 298-305. artikel 9328858. https://doi.org/10.1109/JPHOTOV.2020.3047420

Scardera, G., Payne, D. N. R., Umair Khan, M., Zhang, Y., Soeriyadi, A., Zou, S., Zhang, D., Davidsen, R. S., Hansen, O., Hoex, B. & Abbott, M. D. (2021). Silicon Nanotexture Surface Area Mapping Using Ultraviolet Reflectance. IEEE Journal of Photovoltaics, 11(5), 1291-1298. artikel 9462317. https://doi.org/10.1109/JPHOTOV.2021.3086439

Salehi, Z., Karimaghaee, P. & Khooban, M. H. (2021). Mixed Positive-Bounded Balanced Truncation. IEEE Transactions on Circuits and Systems II: Express Briefs, 68(7), 2488-2492. artikel 9328872. adv. onlinepublikation. https://doi.org/10.1109/TCSII.2021.3053160

Salehi, Z., Karimaghaee, P. & Khooban, M. H. (2022). A New Passivity Preserving Model Order Reduction Method: Conic Positive Real Balanced Truncation Method. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 52(5), 2945-2953. adv. onlinepublikation. https://doi.org/10.1109/TSMC.2021.3057957

Salehi, Z., Karimaghaee, P. & Khooban, M. H. (2021). Model Order Reduction of Positive Real Systems Based on Mixed Gramian Balanced Truncation with Error Bounds. Circuits, Systems and Signal Processing, 40(11), 5309-5327. https://doi.org/10.1007/s00034-021-01734-5

Saleem, S., Naqvi, S. S., Manzoor, T., Saeed, A., Rehman, N. U. & Mirza, J. (2019). A Strategy for Classification of textquotedblleftVaginal vs. Cesarean Sectiontextquotedblright Delivery: Bivariate Empirical Mode Decomposition of Cardiotocographic Recordings. Frontiers in Physiology, 10. https://doi.org/10.3389/fphys.2019.00246

Saleem, B., Badar, R., Manzoor, A., Judge, M. A., Boudjadar, J. & Islam, S. U. (2022). Fully Adaptive Recurrent Neuro-Fuzzy Control for Power System Stability Enhancement in Multi Machine System. IEEE Access, 10, 36464-36476. https://doi.org/10.1109/ACCESS.2022.3164455

Sadiq, M. T., Yu, X., Yuan, Z., Aziz, M. Z., Rehman, N. U., Ding, W. & Xiao, G. (2022). Motor Imagery BCI Classification Based on Multivariate Variational Mode Decomposition. IEEE Transactions on Emerging Topics in Computational Intelligence, 6(5), 1177-1189. adv. onlinepublikation. https://doi.org/10.1109/tetci.2022.3147030

Sadeghi, M., Rezaeiyan, Y., Fernández Khatiboun, D. & Moradi, F. (2023). Hardware Implementation of a Resource-Efficient Router for Multi-Core Spiking Neural Networks. Afhandling præsenteret på IEEE ISCAS 2023, USA. https://doi.org/10.1109/ISCAS46773.2023.10182040

Rysgaard, S., Bjerge, K., Boone, W., Frandsen, E., Graversen, M., Thomas Høye, T., Jensen, B., Johnen, G., Antoni Jackowicz-Korczynski, M., Taylor Kerby, J., Kortegaard, S., Mastepanov, M., Melvad, C., Schmidt Mikkelsen, P., Mortensen, K., Nørgaard, C., Poulsen, E., Riis, T., Sørensen, L. & Røjle Christensen, T. (2022). A mobile observatory powered by sun and wind for near real time measurements of atmospheric, glacial, terrestrial, limnic and coastal oceanic conditions in remote off-grid areas. HardwareX, 12, artikel e00331. https://doi.org/10.1016/j.ohx.2022.e00331

Ruf, F., Faurby, C. F. D., Paesani, S., Wang, Y., Nielsen, L., Midolo, L., Volet, N. & Heck, M. (2022). Design of Fast All-Optical Switches in Si₃N₄ Photonic Integrated Circuits for Single-Photon Routing. Poster session præsenteret på Frontiers in Optics + Laser Science, Rochester, New York, USA. https://www.frontiersinoptics.com/home/eposters/poster/?id=3794843

Ruf, F., Nielsen, L., Volet, N. & Heck, M. (2022). Analysis and Design of Low-Loss and Fast All-Optical Switch Elements on Silicon Nitride for Integrated Quantum Photonics. Journal of Lightwave Technology, 40(23), 7598-7609. adv. onlinepublikation. https://doi.org/10.1109/JLT.2022.3213445

Ruf, F., Faurby, C. F. D., Paesani, S., Wang, Y., Nielsen, L., Midolo, L., Volet, N. & Heck, M. (2022). Fast All-Optical Switches in Si₃N₄ Photonic Integrated Circuits for Single-Photon Routing. Poster session præsenteret på National Optics Congress, Aarhus, Danmark.

Ruf, F., Hartwig, T., Zeon, J. W. & Ibik, A. (2022). Passing on the Light: Teaching Optics in Liberia. Poster session præsenteret på National Optics Congress, Aarhus, Danmark.

Ruf, F., Nielsen, L., Balauroiu, M., Volet, N. & Heck, M. (2022). Low-loss all-optical ns-switching for single-photon routing in scalable integrated quantum photonics. I R. G. Baets, P. O'Brien & L. Vivien (red.), Integrated Photonics Platforms II artikel 12148-6 SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.2621540

Ruf, F., Nielsen, L., Volet, N. & Heck, M. (2023). Energy-Efficient Design of a Fast All-Optical Single-Photon Switch with Pre-Emphasis Pump Scheme. Afhandling præsenteret på Conference on Laser and Electro-Optics (CLEO) , San Jose, California, USA.

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

Ronchini, M., Zamani, M., Huynh, H. A., Rezaeiyan, Y., Panuccio, G., Farkhani, H. & Moradi, F. (2022). A CMOS-based neuromorphic device for seizure detection from LFP signals. Journal of Physics D: Applied Physics, 55(1), artikel 014001. https://doi.org/10.1088/1361-6463/ac28bb

Ronchini, M. (2023). Low Power IC Implementation of Spiking Neural Networks for Implantable Neuromorphic Chips. Aarhus Universitet.

Ronchini, M., Rezaeiyan, Y., Zamani, M., Panuccio, G. & Moradi, F. (2022). NET-TEN: a silicon neuromorphic network for low-latency detection of seizures in local field potentials. ArXiv. https://doi.org/10.48550/arXiv.2210.10565

Ronchini, M., Rezaeiyan, Y., Zamani, M., Panuccio, G. & Moradi, F. (2023). NET-TEN: a silicon neuromorphic network for low-latency detection of seizures in local field potentials. Journal of Neural Engineering, 20(3), artikel 036002. https://doi.org/10.1088/1741-2552/acd029

Robinson, C., Bagnato, A., Pastrone, C., Weyer, T., Popov, P., Macedo, H. D., Sassanelli, C., Larsen, P. G., Luz, C. H., Henshaw, M., Buron, C., Akerkar, R. & Györffi, M. (2021). Bridging the stakeholder communities that produce cyber-physical systems. I M. D. E. al (red.), HiPEAC Vision 2021: High performance embedded architecture and compilation (s. 20-29). HiPEAC. https://www.hipeac.net/vision/2021/

Robinson, C., Akerkar, R., Aouada, D., Bagnato, A., Györffi, M., Henshaw, M., Larsen, P. G., Hernandez, C., Macedo, H. D., Pastrone, C., Popov, P., Sassanelli, C., Völp, M. & Weyer, T. (2023). Bridging the stakeholder communities that produce cyber-physical systems. I M. Duranton, K. De Bosschere, B. Coppens, C. Gamrat, M. Gray, T. Hoberg, H. Munk, C. Robinson, T. Vardanega & O. Zendra. (red.), HiPEAC Vision 2023: High Peformance Embedded Architecture and Compilation (s. 32-43) https://doi.org/10.5281/zenodo.7462013

Rezaeiyan, Y., Zamani, M., Shoaei, O. & Serdijn, W. A. (2018). Mixed-Signal IC With Pulse Width Modulation Wireless Telemetry for Implantable Cardiac Pacemakers in 0.18-μm CMOS. IEEE Transactions on Biomedical Circuits and Systems, 12(3), 589 - 600. https://doi.org/10.1109/TBCAS.2018.2819021

Rezaei, M. A., Nayeripour, M., Hu, J., S. Band, S., Mosavi, A. H. & Khooban, M. H. (2022). A New Hybrid Cascaded Switched-Capacitor Reduced Switch Multilevel Inverter for Renewable Sources and Domestic Loads. IEEE Access, 10, 14157-14183. https://doi.org/10.1109/ACCESS.2022.3146256

Rezaei, M. A., Fathollahidehkordi, A., Rezaei, S., Hu, J., Gheisarnejad Chirani, M., Teimouri, A. R., Sharma, R., Mosavi, A. H. & Khooban, M. H. (2022). Adaptation of A Real-Time Deep Learning Approach with An Analog Fault Detection Technique for Reliability Forecasting of Capacitor Banks Used in Mobile Vehicles. IEEE Access, 10, 132271-132287. https://doi.org/10.1109/ACCESS.2022.3228916

Rehman, N. U., Abbas, S. Z., Asif, A., Javed, A., Naveed, K. & Mandic, D. P. (2017). Translation invariant multi-scale signal denoising based on goodness-of-fit tests. Signal Processing, 131, 220-234. https://doi.org/10.1016/j.sigpro.2016.08.019

Rehman, N. U., Naveed, K., Ehsan, S. & McDonald-Maier, K. (2016). Multi-scale image denoising based on goodness of fit (GOF) tests. I 2016 24th European Signal Processing Conference (EUSIPCO) IEEE. https://doi.org/10.1109/eusipco.2016.7760508

Rehman, N., Ehsan, S., Naveed, K., McDonald-Maier, K. D. & Safdar, M. W. (2015). Dynamically sampled multivariate empirical mode decomposition. Electronics Letters, 51(24), 2049-2051. https://doi.org/10.1049/el.2015.1176

Rehman, N. U., Xia, Y. & Mandic, D. P. (2010). Application of multivariate empirical mode decomposition for seizure detection in EEG signals. I 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology IEEE. https://doi.org/10.1109/iembs.2010.5626665

Rehman, N. U. & Mandic, D. P. (2014). Dynamically-Sampled Bivariate Empirical Mode Decomposition. IEEE Signal Processing Letters, 21(7), 857-861. https://doi.org/10.1109/lsp.2014.2317773

Rehman, N. U., Park, C., Huang, N. E. & Mandic, D. P. (2013). Emd via memd: Multivariate noise-aided computation of standard emd. Advances in Adaptive Data Analysis, 05(02), 1350007. https://doi.org/10.1142/s1793536913500076

Rehman, N. U. & Mandic, D. P. (2011). Filter Bank Property of Multivariate Empirical Mode Decomposition. IEEE Transactions on Signal Processing, 59(5), 2421-2426. https://doi.org/10.1109/tsp.2011.2106779

Rehman, N. U. & Mandic, D. P. (2010). Quadrivariate Empirical Mode Decomposition. I The 2010 International Joint Conference on Neural Networks (IJCNN) IEEE. https://doi.org/10.1109/ijcnn.2010.5596768

Rehman, N., Looney, D., Rutkowski, T. M. & Mandic, D. P. (2009). Bivariate EMD-based image fusion. I 2009 IEEE/SP 15th Workshop on Statistical Signal Processing IEEE. https://doi.org/10.1109/ssp.2009.5278639

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