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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Oudshoorn, F. W., Bartzanas, T., Holden, N., Järvinen, M., Jensen, A. L., Lauwers , L., Vandaele, L., Guckt, T. V. D., Van Nuffel, A., Saeys, W. & Grøn Sørensen, C. (2014). ICT-AGRI Call 2 Mid-term Project Report: SILF: Smart Integrated Livestock Farming. https://pureportal.ilvo.be/en/publications/ict-agri-call-2-mid-term-project-report-silf-smart-integrated-liv

Passalis, N., Iosifidis, A., Gabbouj, M. & Tefas, A. (2021). Hypersphere-Based Weight Imprinting for Few-Shot Learning on Embedded Devices. IEEE Transactions on Neural Networks and Learning Systems, 32(2), 925-930. https://doi.org/10.1109/TNNLS.2020.2979745

Gheisarnejad Chirani, M., Mosayebi, M., Rafiei Foroushani, M., Boudjadar, J. & Khooban, M. H. (2023). Hybrid Power Systems for Smart Marine Power Grids: Demonstration and Case Study. I Electric Transportation Systems in Smart Power Grids (s. 473-492). CRC Press. https://doi.org/10.1201/9781003293989

Ali, M., Khan, A. & Rehman, N. U. (2017). Hybrid multiscale wind speed forecasting based on variational mode decomposition. International Transactions on Electrical Energy Systems, 28(1), e2466. https://doi.org/10.1002/etep.2466

Abbiati, G., Baş, E. E., Gomes, C. & Larsen, P. G. (2023). Hybrid fire testing using FMI-based co-simulation. Fire Safety Journal, 139, Artikel 103832. https://doi.org/10.1016/j.firesaf.2023.103832

Morsing, L. H., Heidari, N. & Iosifidis, A. (2022). Human Activity Recognition. I A. Iosifidis & A. Tefas (red.), Deep Learning for Robot Perception and Cognition (s. 341-370). Elsevier. https://doi.org/10.1016/B978-0-32-385787-1.00019-1

Larsen, P. G., Macedo, H. D., Fitzgerald, J., Pfeifer, H., Benedikt, M., Tonetta, S., Marguglio, A., Veneziano, G., Sutton, L., Gusmeroli, S. & Suciu, G. (2022). HUBCAP: A Novel Collaborative Approach to Model-Based Design of Cyber-Physical Systems. I M. S. Obaidat, T. Oren & F. D. Rango (red.), Simulation and Modeling Methodologies, Technologies and Applications. SIMULTECH 2020 (s. 90-110). Springer. https://doi.org/10.1007/978-3-030-84811-8_5

Tran, D. T., Kanniainen, J. & Iosifidis, A. (2021). How informative is the Order Book Beyond the Best Levels? Machine Learning Perspective. Afhandling præsenteret på NeurIPS 2021 Workshop on Machine Learning meets Econometrics. https://doi.org/10.2139/ssrn.3920827

Kamari, A. & Schultz, C. P. L. (2023). How can LCA inform early-stage design to meet Danish regulations? The sustainability opportunity metric. I E. Hjelseth, S. F. Sujan & R. J Scherer (red.), eWork and eBusiness in Architecture, Engineering and Construction - Proceedings of the 14th European Conference on Product and Process Modelling, ECPPM 2022: Proceedings of the 14th European Conference on Product and Process Modelling (ECPPM 2022), September 14-16, 2022, Trondheim, Norway. (Bind 1, s. 27-34). CRC Press. https://doi.org/10.1201/9781003354222-427, https://doi.org/10.1201/9781003354222-4

Niazi, K. A. K., Akhtar, W., Khan, H. A., Yang, Y. & Athar, S. (2019). Hotspot diagnosis for solar photovoltaic modules using a Naive Bayes classifier. Solar Energy, 190, 34-43. https://doi.org/10.1016/j.solener.2019.07.063

Radmanesh, H., Maalandish, M., Pourjafar, S. & Khooban, M. H. (2023). High step-up MIMO DC–DC power converter control-based pole placement. International Journal of Circuit Theory and Applications, 51(3), 1313-1331. https://doi.org/10.1002/cta.3469

Bjerge, K., Geissmann, Q., Alison, J., Mann, H. M. R., Høye, T. T., Dyrmann, M. & Karstoft, H. (2023). Hierarchical Classification of Insects with Multitask Learning and Anomaly Detection. bioRxiv. https://doi.org/10.1101/2023.06.29.546989

Bjerge, K., Geissmann, Q., Alison, J., Mann, H. M. R., Høye, T. T., Dyrmann, M. & Karstoft, H. (2023). Hierarchical classification of insects with multitask learning and anomaly detection. Ecological Informatics, 77, Artikel 102278. https://doi.org/10.1016/j.ecoinf.2023.102278

Wagner, S. R. (2020). HEUCOD draft recommendation.

Nielsen, L. & Lucani Rötter, D. E. (2021). Hekate a tool for gauging Data Deduplication Performance. I Proceedings - 2021 IEEE 6th International Conference on Smart Cloud, SmartCloud 2021 (s. 67-72). IEEE. https://doi.org/10.1109/SmartCloud52277.2021.00019

Laursen, S. R. L., Holm, H. A. & Nielsen, S. H. (2022). Heart rate-based dynamic sound intervention - a pilot study. I Proceedings of the EUROREGIO/BNAM2022 Conference: Joimt Acoustics Conference (s. 473-481). https://www.conforg.fr/erbnam2022/output_directory/data/articles/000032.pdf

Johansen, K. W., Schultz, C. & Teizer, J. (2023). Hazard ontology and 4D benchmark model for facilitation of automated construction safety requirement analysis. Computer-Aided Civil and Infrastructure Engineering, 38(15), 2128-2144. https://doi.org/10.1111/mice.12988

Gaikwad, N. B., Khare, S. K., Satpute, N. & Keskar, A. G. (2022). Hardware Implementation of High-performance Classifiers for Edge Gateway of Smart Automobile. I Proceedings of PCEMS 2022 - 1st International Conference on the Paradigm Shifts in Communication, Embedded Systems, Machine Learning and Signal Processing (s. 74-77). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PCEMS55161.2022.9808049

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

Gaikwad, N. B., Khare, S. K., Ugale, H., Mendhe, D., Tiwari, V., Bajaj, V. & Keskar, A. G. (2023). Hardware Design and Implementation of Multiagent MLP Regression for the Estimation of Gunshot Direction on IoBT Edge Gateway. IEEE Sensors Journal, 23(13), 14549-14557. https://doi.org/10.1109/JSEN.2023.3278748

Klionsky, D. J., Abeliovich, H., Agostinis, P., Agrawal, D. K., Aliev, G., Askew, D. S., Baba, M., Baehrecke, E. H., Bahr, B. A., Ballabio, A., Bamber, B. A., Bassham, D. C., Bergamini, E., Bi, X., Biard-Piechaczyk, M., Blum, J. S., Bredesen, D. E., Brodsky, J. L., Brumell, J. H. ... Deter, R. L. (2008). Guidelines for the use and interpretation of assays for monitoring autophagy in higher eukaryotes. Autophagy, 4(2), 151-75. https://doi.org/10.4161/auto.5338

Navarro-Guerrero, N., Nguyen, S. M., Oztop, E. & Zhong, J. (2021). Guest Editorial Special Issue on Continual Unsupervised Sensorimotor Learning. IEEE Transactions on Cognitive and Developmental Systems, 13(2), 234-238. https://doi.org/10.1109/TCDS.2021.3082880

Woodcock, J. & Larsen, P. G. (1995). Guest Editorial: Introduction to Special Section. IEEE Transactions on Software Engineering, 21, 61-62. https://doi.org/10.1109/TSE.1995.10000

Chen, Y., Shahidehpour, M., Lin, Y., Dvorkin, Y., Peric, V., Zhao, J., Ugalde-Loo, C. E. & Ge, L. (2022). Guest Editorial: Situational awareness of integrated energy systems. IET Generation, Transmission and Distribution, 16(14), 2761-2765. https://doi.org/10.1049/gtd2.12524

Mahmoudi, A., Khezri, R., Bidram, A., Khooban, M., Aki, H., Khalilpour, K., Abdeltawab, H. & Muyeen, S. M. (2023). Guest editorial: Application of cloud energy storage systems in power systems. IET Generation, Transmission and Distribution, 17(8), 1687-1689. https://doi.org/10.1049/gtd2.12770

Bozcan, I., Sejersen, J. L. F., Pham, X. H. & Kayacan, E. (2021). GridNet: Image-Agnostic Conditional Anomaly Detection for Indoor Surveillance. IEEE Robotics and Automation Letters, 6(2), 1638 - 1645. Artikel 9345954. https://doi.org/10.1109/LRA.2021.3057003

Andresen, B., Zamastil, M. M. & Søgaard, C. T. (2023). Grid Code Requirements for Connecting a Hybrid Power Plant - An overview of status and recommendations for future requirements. 22nd Wind & Solar Integration Workshop.

Jørgensen, U., Kristensen, T., Jørgensen, J. R., Kongsted, A. G., De Notaris, C., Nielsen, C., Mortensen, E. Ø., Ambye-Jensen, M., Jensen, S. K., Stødkilde-Jørgensen, L., Dalsgaard, T. K., Møller, A. H., Grøn Sørensen, C., Asp, T., Lehmann Olsen, F. & Gylling, M. (2021). Green biorefining of grassland biomass. DCA - Nationalt Center for Fødevarer og Jordbrug. DCA rapport Nr. 193 https://dcapub.au.dk/djfpublikation/index.asp?action=show&id=1480

Li, N., Iosifidis, A. & Zhang, Q. (2022). Graph Reinforcement Learning-based CNN Inference Offloading in Dynamic Edge Computing. I 2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings (s. 982-987). IEEE. https://doi.org/10.1109/GLOBECOM48099.2022.10001067

Laakom, F., Raitoharju, J., Passalis, N., Iosifidis, A. & Gabbouj, M. (2022). Graph Embedding with Data Uncertainty. IEEE Access, 10, 24232-24239. https://doi.org/10.1109/ACCESS.2022.3155233

Sohrab, F., Iosifidis, A., Gabbouj, M. & Raitoharju, J. (2023). Graph-embedded subspace support vector data description. Pattern Recognition, 133, Artikel 108999. https://doi.org/10.1016/j.patcog.2022.108999

Gautam, C., Tiwari, A., Mishra, P. K., Suresh, S., Iosifidis, A. & Tanveer, M. (2021). Graph-Embedded Multi-Layer Kernel Ridge Regression for One-Class Classification. Cognitive Computation, 13(2), 552-569. https://doi.org/10.1007/s12559-020-09804-7

Heidari, N., Hedegaard Morsing, L. & Iosifidis, A. (2022). Graph convolutional networks. I A. Iosifidis & A. Tefas (red.), Deep Learning for Robot Perception and Cognition (s. 71-99). Elsevier. https://doi.org/10.1016/B978-0-32-385787-1.00009-9

Shreya, S., Jenkins, A., Rezaeiyan, Y., Li, R., Bohnert, T., Benetti, L., Ferreira, R., Moradi, F. & Farkhani, H. (2023). Granular vortex spin-torque nano oscillator for reservoir computing. Scientific Reports, 13(1), Artikel 16722. https://doi.org/10.1038/s41598-023-43923-z

Hurst, A., Lucani Rötter, D. E., Assent, I. & Zhang, Q. (2022). GLEAN: Generalized Deduplication Enabled Approximate Edge Analytics. IEEE Internet of Things Journal.

Pham, X. H., Bozcan, I., Sarabakha, A., Haddadin, S. & Kayacan, E. (2021). GateNet: An Efficient Deep Neural Network Architecture for Gate Perception Using Fish-Eye Camera in Autonomous Drone Racing. Afhandling præsenteret på 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems, Prag, Tjekkiet. https://sarabakha.info/files/papers/conference/IROS_2021.pdf

Nielsen, L. & Heck, M. (2021). Fully integrated 45-GHz harmonically mode-locked ring laser with an intra-cavity Mach–Zehnder filter. Optics Letters, 46(4), 880-883. https://doi.org/10.1364/OL.415356

Rashidi, A., Yazdani, N. & Sodagar, A. M. (2021). Fully implantable, multi-channel microstimulator with tracking supply ribbon, multi-output charge pump and energy recovery. IET Circuits, Devices & Systems, 15(2), 104-120. https://doi.org/10.1049/cds2.12007

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

Grombacher, D., Griffiths, M. P., Liu, L., Vang, M. & Larsen, J. J. (2022). Frequency Shifting Steady-State Surface NMR Signals to Avoid Problematic Narrowband-Noise Sources. Geophysical Research Letters, 49(7), Artikel e2021GL097402. https://doi.org/10.1029/2021GL097402

Shreya, S., Jenkins, A., Bohnert, T., Ferreira, R., Moradi, F. & Farkhani, H. (2023). Frequency Sensing and Detection using Granular Vortex MTJ Nano Oscillator. Poster session præsenteret på IEEE INTERMAG Conference, Japan. https://doi.org/10.1109/INTERMAGShortPapers58606.2023.10228828

Moradi, F. & Zamani, M. (2021). Fremtiden for implanterbare mikroenheder i hjernen. Medicoteknik, 3(8), 10-11. https://ipaper.ipapercms.dk/TechMedia/Medicoteknik/2021/3/?page=10

Gul, S., Siddiqui, M. F. & Rehman, N. U. (2019). FPGA Based Real-Time Implementation of Online EMD With Fixed Point Architecture. IEEE Access, 7, 176565-176577. https://doi.org/10.1109/access.2019.2957819

Griffiths, M. P., Grombacher, D., Liu, L., Vang, M. Ø. & Larsen, J. J. (2022). Forward Modeling Steady-State Free Precession in Surface NMR. IEEE Geoscience and Remote Sensing Letters, 60, Artikel 4513510. https://doi.org/10.1109/TGRS.2022.3221624

Ulsig, E. Z. & Tønning, P. (2022, mar. 16). Forskere: En sikker type UV-lys er et nyt våben mod corona og fremtidige epidemier. https://videnskab.dk/forskerzonen/teknologi-innovation/en-sikker-type-uv-lys-er-det-nye-vaaben-mod-corona-og-fremtidige-epidemier

Mohapatra, A., Peric, V. S. & Hamacher, T. (2021). Formal Verification of Grid Frequency Controllers. I Proceedings of 2021 IEEE PES Innovative Smart Grid Technologies Europe: Smart Grids: Toward a Carbon-Free Future, ISGT Europe 2021 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISGTEurope52324.2021.9640096

Wright, T., Gomes, C. & Woodcock, J. (2022). Formally Verified Self-adaptation of an Incubator Digital Twin. I T. Margaria & B. Steffen (red.), Leveraging Applications of Formal Methods, Verification and Validation. Practice, ISoLA 2022 (s. 89-109). Springer. https://doi.org/10.1007/978-3-031-19762-8_7

Thule, C., Gomes, C. & Lausdahl, K. G. (2020). Formally Verified FMI Enabled External Data Broker: Rabbitmq FMU. I Proceedings of the 2020 Summer Simulation Conference (s. 1-12). Artikel 12 Association for Computing Machinery. https://doi.org/10.5555/3427510.3427533

Kulik, T., Boudjadar, J. & Aranha, D. F. (2021). Formally Verified Credentials Management for Industrial Control Systems. I Proceedings - 2021 IEEE/ACM 9th International Conference on Formal Methods in Software Engineering, FormaliSE 2021: 9th IEEE/ACM International Conference on Formal Methods in Software Engineering (s. 75-85). IEEE. https://doi.org/10.1109/FormaliSE52586.2021.00014

Nielsen, A. H., Iosifidis, A. & Karstoft, H. (2022). Forecasting large-scale circulation regimes using deformable convolutional neural networks and global spatiotemporal climate data. Scientific Reports, 12(1), Artikel 8395. https://doi.org/10.1038/s41598-022-12167-8

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