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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Schranz, T., Exenberger, J., Legaard, C. M., Drgona, J. & Schweiger, G. (2022). Energy prediction under changed demand conditions: robust machine learning models and input feature combinations. I D. Saelens, J. Laverge, W. Boydens & L. Helsen (red.), 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

Hassan Hire, J., Agianniotis, N., Kofoed, B. P. & Moradi, F. (2022). Energy Harvesting In Immersed Tunnel For Powering Wireless Sensor Nodes For Corrosion Monitoring. I E E E Sensors Journal, 22(10), 9892-9903. https://doi.org/10.1109/JSEN.2022.3165659

Kristensen, E. F. & Kristensen, J. K. (2022). Energy efficient straw boiler with low nox emission. I 30th European Biomass Conference and Exhibition (s. 657-661)

Shafaghi, P., Dolatshahi, M. & Farkhani, H. (2023). Energy-efficient spintronic based neuromorphic computing system using current mode track and termination circuit. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 42(9), 2915-2923. https://doi.org/10.1109/TCAD.2023.3238879

Beck, M. M., Boudjadar, J. & Chougui, Y. (2021). Energy Efficient Real-time Calibration of Wireless Sensor Networks for Smart Buildings. Afhandling præsenteret på International Symposium on Intelligent and Autonomous Systems, Tallinn, Estland.

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.

Yazdani, N., Kouvelas, N., Prasad, R. V. & Lucani Rötter, D. E. (2021). Energy Efficient Data Recovery from Corrupted LoRa Frames. I 2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings IEEE. https://doi.org/10.1109/GLOBECOM46510.2021.9685613

Nisar, A., Dhull, S., Shreya, S. & Kaushik, B. K. (2022). Energy-Efficient Advanced Data Encryption System Using Spin-Based Computing-in-Memory Architecture. IEEE Transactions on Electron Devices, 69(4), 1736-1742. https://doi.org/10.1109/TED.2022.3150623

Kuldeep, G. & Zhang, Q. (2020). Energy Concealment based Compressive Sensing Encryption for Perfect Secrecy for IoT. I 2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings Artikel 9322181 IEEE. https://doi.org/10.1109/GLOBECOM42002.2020.9322181

Vestergaard, R., Zhang, Q. & Lucani Rötter, D. E. (2021). Enabling Random Access in Universal Compressors. I IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2021: Proceedings Artikel 9484460 IEEE. https://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484460

Agarwala, S. (2019). Enabling new possibilities in smart textiles through printed electronics. I 2019 IEEE 9th International Nanoelectronics Conferences, INEC 2019 Artikel 8853853 IEEE. https://doi.org/10.1109/INEC.2019.8853853

Kazemi, Z., Yildiz, E. & Larsen, P. G. (2024). Enabling Flexible Manufactuirng in Wind Industry Based on Movable Factory Concept: Definitions, Requirements, and Challenges. I 2024 IEEE International Conference on Industrial Technology (ICIT) Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIT58233.2024.10540826

Kakavandi, F. (2024). Enabling Fault Detection in an Industrial Medical Device Assembly Process. Aarhus University.

Tola, D. (2024). Enabling Digitalization in Modular Robotic Systems Integration. Aarhus University.

Larsen, P. G., Soulioti, G., Macedo, H. D., Alifragkis, V., Fitzgerald, J., Livanos, N., Pfeifer, H., Pasquinelli, M., Benedict, M., Thule, C., Tonetta, S., Stritzelberger, B., Marguglio, A., Sutton, L. F., Obstbaum, M., Gusmeroli, S., Beutenmüller, F., Jr., G. S., Wijnands, Q. & Talasila, P. (2020). Enabling Combining Models and Tools in an Online MBSE Collaboration Platform. I Model Based Space Systems and Software Engineering (MBSE2020) https://indico.esa.int/event/329/attachments/3868/5508/Abstracts_combined.pdf

Mousavi, S. A., GhahramanIzadi, Z. & Khooban, M. H. (2024). Empowering talkative power technology in wireless power transfer with machine learning. IET Power Electronics, 17(16), 3083-3092. https://doi.org/10.1049/pel2.12826

Rezaei, N. (2023). Emerging technologies in design and testing of protection relays for transmission system connected to inverter based resources. I 22nd Wind and Solar Integration Workshop (WIW 2023) (s. 712-719). Institution of Engineering and Technology. https://doi.org/10.1049/icp.2023.2807

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

Kragh, M. F. & Karstoft, H. (2021). Embryo selection with artificial intelligence: how to evaluate and compare methods? Journal of Assisted Reproduction and Genetics, 38(7), 1675-1689. https://doi.org/10.1007/s10815-021-02254-6

Voros, N. S., Snook, C. F., Hallerstede, S. & Masselos, K. (2005). Embedded system design using formal model refinement: An approach based on the combined use of UML and the B language. Design Automation for Embedded Systems, 9(2), 67-99. https://doi.org/10.1007/s10617-005-1184-6

Frydenlund, A., Poggi, A. I., Hansen, S. K., Brage-Andersen, M., Merhi, Y., Agarwala, S., Mikkelsen, P. H., Nygaard, J. V., Steffensen, I. E. & Suetta, C. (2021). Elektrisk stimulation mod muskel- og funktionstab hos en patient indlagt med COVID-19. Ugeskrift for Læger, 183(20), Artikel V03210275. https://ugeskriftet.dk/files/scientific_article_files/2021-05/v03210275_web.pdf

Kristensen, E. F. & Kristensen, J. K. (2022). Efficient Straw Boiler with Low NOx Emission. Poster session præsenteret på EUBCE 2022- The 30th edition of the European Biomass Conference and Exhibition.

Larsen, J. J., Langhof, R. B., Kjær, M. W., Vang, M., Liu, L., Griffiths, M. & Grombacher, D. (2022). Efficient processing of surface NMR data with spectral analysis. Geophysical Journal International, 229(1), 286-298. https://doi.org/10.1093/gji/ggab472

Griffiths, M. P., Grombacher, D. J. & Larsen, J. J. (2021). Efficient numerical Bloch solutions for multipulse surface NMR. Geophysical Journal International, 227(3), 1905-1916. https://doi.org/10.1093/gji/ggab321

Ulsig, E. Z., Degli-Eredi, I., Stanton, E. J. & Volet, N. (2022). Efficient Low Threshold Frequency Conversion in AlGaAs-On-Insulator Waveguides. Frontiers in Photonics, 3, Artikel 904651. https://doi.org/10.3389/fphot.2022.904651

Ulsig, E. Z., Degli Eredi, I. & Volet, N. (2022). Efficient frequency conversion of low-intensity light in AlGaAs-on-insulator waveguides. I P. G. Schunemann & V. Petrov (red.), Nonlinear Frequency Generation and Conversion: Materials and Devices XXI Artikel 119850D SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.2607179

Pham, X. H. (2023). Efficient deep learning-based monocular 3D perception for agile robot navigation. Århus Universitet.

Ulsig, E. Z., Madsen, M. L., Stanton, E. J., Reddy, D. V., Leger, A. Z., Sørensen, S. R., Godoy, P. H., Degli-Eredi, I., Stevens, M. J., Hamel, D. R., Shalm, L. K., Mirin, R. P. & Volet, N. (2024). Efficient and widely tunable mid-infrared sources using GaAs and AlGaAs integrated platforms for second-order frequency conversion. Optics Express, 32(21), 36986-37000. https://doi.org/10.1364/OE.523615

Hansen, M. T., Ulsig, E. Z., Labbé, F., Madsen, M. L., Ding, Y., Rottwitt, K. & Volet, N. (2023). Efficient and robust second-harmonic generation in thin-film lithium niobate using modal phase matching. Frontiers in Photonics, 4, Artikel 1324648. https://doi.org/10.3389/fphot.2023.1324648

Foldager, L., Thodberg, K., Chen, G., Kristensen, J. K., Jensen, L. D., Kaiser, M., Kobek-Kjeldager, C., Rong, L. & Herskin, M. S. (2024). Effects of deck height during transport of weaners: in-vehicle conditions and clinical indicators. I Book of Abstracts of the 75th Annual Meeting of the European Federation of Animal Science (s. 487-487). Artikel Session 38, Poster 12 Wageningen Academic Publishers.

Sergeeva, A., Bech Christensen, C. & Kidmose, P. (2024). Effect of Stimulus Bandwidth on the Auditory Steady-State Response in Scalp- and Ear-EEG. Ear and Hearing, 45(3), 626-635. https://doi.org/10.1097/AUD.0000000000001451

Asif, M. R., Bording, T. S., Barfod, A. S., Grombacher, D. J., Maurya, P. K., Christiansen, A. V., Auken, E. & Larsen, J. J. (2021). Effect of Data Pre-Processing on the Performance of Neural Networks for 1-D Transient Electromagnetic Forward Modeling. IEEE Access, 9, 34635-34646. https://doi.org/10.1109/ACCESS.2021.3061761

Homayoun, S., Haraldsdóttir, M., Lynge, E. & Jensen, C. D. (2024). Effective Noise Reduction in NDR Systems: A Simple Yet Powerful Apriori-Based Approach. Sensors, 24(20), Artikel 6547. https://doi.org/10.3390/s24206547

Mikkelsen, K., Rezaei Tabar, Y., Christensen, C. B. & Kidmose, P. (2021). EEGs Vary Less Between Lab and Home Locations Than They Do Between People. Frontiers in Computational Neuroscience, 15, 2454–2461. Artikel 565244. https://doi.org/10.3389/fncom.2021.565244

Thrysøe, S. A. (2021). Educating biomedical 3D printing engineers. Transactions on Additive Manufacturing Meets Medicine , 3(1), Artikel 512. https://doi.org/10.18416/AMMM.2021.2109512

Wan, S., Chen, C. & Iosifidis, A. (2022). Editorial to special issue on cross-media learning for visual question answering. Image and Vision Computing, 118, Artikel 104355. https://doi.org/10.1016/j.imavis.2021.104355

Gudjonsdottir, M. S., Audunsson, H., Donoso, A. M., Kristjansson, G., Saemundsdóttir, I., Foley, J. T., Kyas, M., Sripakagorn, A., Roslöf, J., Bennedsen, J., Edström, K., Kuptasthien, N. & Lyng, R. (2022). Editorial. Proceedings of the International CDIO Conference, iii-iv.

Bennedsen, J., Edström, K., Guðjónsdóttir, M. S., Sæmundsdóttir, I., Kuptasthien, N., Roslöf, J. & Sripakagorn, A. (2021). Editorial. Proceedings of the International CDIO Conference, 1-2.

Lyng, R., Bennedsen, J., Bettaieb, L., Bodsberg, N. R., Edström, K., Guðjónsdóttir, M. S., Roslöf, J., Solbjørg, O. K. & Øien, G. (2023). Editorial. I Proceedings of the 19th International CDIO Conference (s. iv-v). NTNU Norwegian University of Science and Technology.

Casadei, R., Esterle, L., Gamble, R., Harvey, P. & Wanner, E. F. (2024). Editorial: Understanding and engineering cyber-physical collectives. Frontiers in Robotics and AI, 11, Artikel 1407421. https://doi.org/10.3389/frobt.2024.1407421

Wang, X., Feng, Y., Gu, X., Long, Y., Mukherjee, M., Fizza, K., Zhang, Q. & Guo, M. (2022). Edge Intelligence for Synchronized Human-Robotic Arm Interactions over Unreliable Wireless Channels. I 2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings (s. 6349-6353). IEEE. https://doi.org/10.1109/GLOBECOM48099.2022.10001583

Li, N. (2023). Edge AI for Time-critical Internet-of-things. Aarhus University.

Hvilshøj, F., Iosifidis, A. & Assent, I. (2021). ECINN: Efficient Counterfactuals from Invertible Neural Networks. I 32nd British Machine Vision Conference 2021, BMVC 2021, Virtual https://arxiv.org/abs/2103.13701

Tabar, Y. R., Mikkelsen, K. B., Rank, M. L., Hemmsen, M. C., Otto, M. & Kidmose, P. (2021). Ear-EEG for sleep assessment: a comparison with actigraphy and PSG. Sleep and Breathing, 25(3), 1693-1705. https://doi.org/10.1007/s11325-020-02248-1

Bakhtiarnia, A., Milošević, N., Zhang, Q., Bajović, D. & Iosifidis, A. (2023). Dynamic Split Computing for Efficient Deep Edge Intelligence. I ICASSP 2023: 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) IEEE. https://doi.org/10.1109/ICASSP49357.2023.10096914

Brusatori, M. F. & Volet, N. (2022). Dynamics of Semiconductor Lasers under External Optical Feedback from Both Sides of the Laser Cavity. Photonics, 9(1), Artikel 43. https://doi.org/10.3390/photonics9010043

Ejersbo, H., Lausdahl, K., Frasheri, M. & Esterle, L. (2023). Dynamic Runtime Integration of New Models in Digital Twins. ICSE Workshop on Software Engineering for Adaptive and Self-Managing Systems, 44-55. https://doi.org/10.1109/SEAMS59076.2023.00016

He, B., Yang, Y., Wu, Q., Liu, H., Yang, R., Peng, H., Wang, X., Liao, Y. & Zhou, P. (2024). Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers. I K. Larson (red.), Proceedings of the 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024 (s. 5844-5852). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2024/646

Horrillo-Quintero, P., Garcia-Trivino, P., Hoseinni, E., Garcia-Vazquez, C. A., Sanchez-Sainz, H., Ugalde-Loo, C. E., Peric, V. & Fernandez-Ramirez, L. M. (2024). Dynamic Fuzzy Logic Energy Management System for a Multi-Energy Microgrid. IEEE Access, 12, 93221-93234. https://doi.org/10.1109/ACCESS.2024.3422009

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