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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Mayer, M., Mohapatra, A. & Peric, V. S. (2021). IoT Integration for Combined Energy Systems at the CoSES Laboratory. I 7th IEEE World Forum on Internet of Things, WF-IoT 2021 (s. 195-200). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WF-IoT51360.2021.9596000

Amiri, M., Dehghani, M., Khayatian, A., Mohammadi, M., Vafamand, N. & Boudjadar, J. (2021). Investigation of Wind Energy Impact on Power Systems Stability Using Lyapunov Exponents. I H. Selvaraj, G. Chmaj & D. Zydek (red.), Proceedings of the 27th International Conference on Systems Engineering, ICSEng 2020 (s. 12-22). Springer. https://doi.org/10.1007/978-3-030-65796-3_2

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

Tabar, Y. R., Mikkelsen, K. B., Rank, M. L., Hemmsen, M. C. & Kidmose, P. (2021). Investigation of low dimensional feature spaces for automatic sleep staging. Computer Methods and Programs in Biomedicine, 205, Artikel 106091. https://doi.org/10.1016/j.cmpb.2021.106091

Amarloo, A., Cinnella, P., Iosifidis, A., Forooghi, P. & Abkar, M. (2023). Investigation of Data-driven algebraic Reynolds stress models for turbulent secondary flows. I The 14th International ERCOFTAC Symposium on Engineering Turbulence Modelling and Measurements https://www.researchgate.net/publication/374006145_Investigation_of_data-driven_algebraic_Reynolds_stress_models_for_turbulent_secondary_flows

Asif, M. R., Maurya, P. K., Larsen, J. J. & Christiansen, A. V. (2022). Investigating the Integration of Neural Networks in Least-Squares Method for Airborne Electromagnetic Data Inversion. 1-5. Afhandling præsenteret på NSG2022 3rd Conference on Airborne, Drone and Robotic Geophysics, Beograd, Serbien. https://doi.org/10.3997/2214-4609.202220034

Khare, S. K., Khan, A. M., Bajaj, V. & Sinha, G. R. (2023). Introduction to smart healthcare and the role of cognitive sensors. I G. R. Sinha & V. Bajaj (red.), Cognitive Sensors: Applications in smart healthcare (Bind 2, s. 1-21). IOP Publishing. https://doi.org/10.1088/978-0-7503-5346-5ch1

Feng, H., Gomes, C., Thule, C., Lausdahl, K., Iosifidis, A. & Larsen, P. G. (2021). Introduction to Digital Twin Engineering. I C. R. Martin, M. J. Blas & A. I. Psijas (red.), 2021 Annual Modeling and Simulation Conference (ANNSIM) (s. 1-12). IEEE. https://doi.org/10.23919/ANNSIM52504.2021.9552135

Iosifidis, A. & Tefas, A. (2022). Introduction. I A. Iosifidis & A. Tefas (red.), Deep Learning for Robot Perception and Cognition Elsevier. https://doi.org/10.1016/B978-0-32-385787-1.00006-3

Haldrup, M., Rasmussen, M., Mohamad, N., Dyrskog, S., Thorup, L., Mikic, N., Wismann, J., Grønhøj, M., Poulsen, F. R., Nazari, M., Rehman, N. U., Simonsen, C. Z. & Korshøj, A. R. (2023). Intraventricular Lavage vs External Ventricular Drainage for Intraventricular Hemorrhage: A Randomized Clinical Trial. JAMA network open, 6(10), e2335247. Artikel e2335247. https://doi.org/10.1001/jamanetworkopen.2023.35247

Kumar, R. R., Nielsen, L., Volet, N. & Heck, M. (2023). Intra-cavity coherent combining of DBR lasers on an InP generic foundry platform. Optics Letters, 48(7), 1614-1617. https://doi.org/10.1364/OL.483889

Fares, H., Ronchini, M., Zamani, M., Farkhani, H. & Moradi, F. (2022). In the realm of hybrid Brain: Human Brain and AI. ArXiv. https://doi.org/10.48550/arXiv.2210.01461

Kakavandi, F., Han, P., de Reus, R., Larsen, P. G. & Zhang, H. (2023). Interpretable Fault Detection Approach With Deep Neural Networks to Industrial Applications. I International Conference on Control, Automation and Diagnosis IEEE. https://doi.org/10.1109/ICCAD57653.2023.10152435

Villa-Henriksen, A. (2018). Internet-Based Harvest Fleet Logistic Optimisation. I Proceedings of the European Conference on Agricultural Engineering AgEng2018 (s. 56) https://doi.org/10.18174/471679

Abdolmaleki, H., Astri Bjørnetun Haugen, A., Buhl, K. B., Daasbjerg, K. & Agarwala, S. (2023). Interfacial Engineering of PVDF‐TrFE toward Higher Piezoelectric, Ferroelectric, and Dielectric Performance for Sensing and Energy Harvesting Applications. Advanced Science, 10(6), Artikel 2205942. https://doi.org/10.1002/advs.202205942

Skov, H., Riishede Christiansen, I. L., Rode, L., Pihl, K., Jørgensen, F. S., Zingenberg, H., Nørgaard, P., Gros Pedersen, N. M., Gjerris, A. C. R., Wagner, S. R., Tabor, A., Ekelund, C. K. & Sandager, P. (2022). Inter-arm blood pressure difference in early pregnancy and risk of preeclampsia. Abstract fra FMF 19th World Congress 2022, Kreta, Grækenland. https://fetalmedicine.org/abstracts/2022/var/pdf/abstracts/2022/04236.pdf

Laakom, F., Raitoharju, J., Nikkanen, J., Iosifidis, A. & Gabbouj, M. (2021). INTEL-TAU: A Color Constancy Dataset. IEEE Access, 9, 39560-39567. Artikel 9371681. https://doi.org/10.1109/ACCESS.2021.3064382

Boudjadar, J. & Beck, M. M. (2021). Intelligent Time Synchronization Protocol for Energy Efficient Sensor Systems. Afhandling præsenteret på Intelligent Systems Conference , Amsterdam, Holland.

Boudjadar, J. & Beck, M. M. (2022). Intelligent Time Synchronization Protocol for Energy Efficient Sensor Systems. I K. Arai (red.), Intelligent Systems and Applications - Proceedings of the 2021 Intelligent Systems Conference IntelliSys (s. 609-623). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-82196-8_45

Yildirim, B., Gheisarnejad Chirani, M., Mohammadzadeh, A. & Khooban, M. H. (2023). Intelligent frequency stabilization of low-inertia islanded power grids-based redox battery. Journal of Energy Storage, 71, Artikel 108190. https://doi.org/10.1016/j.est.2023.108190

Mosayebi, M., Sadeghzadeh, S. M., Gheisarnejad, M. & Khooban, M. H. (2021). Intelligent and Fast Model-Free Sliding Mode Control for Shipboard DC Microgrids. IEEE Transactions on Transportation Electrification, 7(3), 1662-1671. Artikel 9311751. https://doi.org/10.1109/TTE.2020.3048552

Sobolewska, E. K., Pelloux-Prayer, J., Becker, H., Li, G., Davies, C. S., Krückel, C. J., Avilés Félix, L., Olivier, A., Sousa, R. C., Prejbeanu, I. L., Kiriliouk, A. I., Van Thourhout, D., Rasing, T., Moradi, F. & Heck, M. J. R. (2020). Integration platform for optical switching of magnetic elements. I G. S. Subramania & S. Foteinopoulou (red.), Active Photonic Platforms XII Artikel 114612B SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.2567662

Feng, H., Gomes, C., Gil Arboleda, S., Mikkelsen, P. H., Tola, D., Larsen, P. G. & Sandberg, M. (2022). Integration Of The Mape-K Loop In Digital Twins. I C. R. Martin, N. Emami, M. J. Blas & R. Rezaee (red.), Proceedings of the 2022 Annual Modeling and Simulation Conference, ANNSIM (s. 102-113). IEEE. https://doi.org/10.23919/ANNSIM55834.2022.9859489

Shadmani, A., Thomas, R. A., Liu, Z., Papon, C., Heck, M. J. R., Volet, N., Scholz, S., Wieck, A. D., Ludwig, A., Lodahl, P. & Midolo, L. (2022). Integration of GaAs waveguides on a silicon substrate for quantum photonic circuits. Optics Express, 30(21), 37595-37602. https://doi.org/10.1364/OE.467920

Asif, M. R., Foged, N., Maurya, P. K., Grombacher, D. J., Christiansen, A. V., Auken, E. & Larsen, J. J. (2022). Integrating neural networks in least-squares inversion of airborne time-domain electromagnetic data. Geophysics, 87(4), E177-E187. https://doi.org/10.1190/geo2021-0335.1

Angotzi, G. N., Giantomasi, L., F. Ribeiro, J., Crepaldi, M., Vincenzi, M., Zito, D. & Berdondini, L. (2022). Integrated Micro-Devices for a Lab-in-Organoid Technology Platform: Current Status and Future Perspectives. Frontiers in Neuroscience, 16, Artikel 842265. https://doi.org/10.3389/fnins.2022.842265

Pimentel de Figueiredo, R., Le Fevre Sejersen, J., Grimm Hansen, J. & Brandão, M. (2022). Integrated design-sense-plan architecture for autonomous geometric-semantic mapping with UAVs. Frontiers in Robotics and AI, 9, Artikel 911974. https://doi.org/10.3389/frobt.2022.911974

Ehsan, S., Clark, A., Rehman, N. & McDonald-Maier, K. (2015). Integral Images: Efficient Algorithms for Their Computation and Storage in Resource-Constrained Embedded Vision Systems. Sensors, 15(7), 16804-16830. https://doi.org/10.3390/s150716804

Shi, L., Mehrooz, G. & Jacobsen, R. H. (2021). Inspection Path Planning for Aerial Vehicles via Sampling-based Sequential Optimization. I 2021 International Conference on Unmanned Aircraft Systems, ICUAS 2021 (s. 679-687). Artikel 9476784 IEEE. https://doi.org/10.1109/ICUAS51884.2021.9476784

Baudette, M., Singh, R. S., Peric, V. S., Lovlund, S. & Vanfretti, L. (2016). 'In silico' testing of a real-time PMU-based tool for power system mode estimation. I 2016 IEEE Power and Energy Society General Meeting, PESGM 2016 Artikel 7741638 IEEE Computer Society. https://doi.org/10.1109/PESGM.2016.7741638

Behzadi, A., Arabkoohsar, A. & Perić, V. S. (2021). Innovative hybrid solar-waste designs for cogeneration of heat and power, an effort for achieving maximum efficiency and renewable integration. Applied Thermal Engineering, 190, Artikel 116824. https://doi.org/10.1016/j.applthermaleng.2021.116824

Amariei, G., Lahn Henriksen, M., Klarskov, P. & Hinge, M. (2023). In-line quantitative estimation of ammonium polyphosphate flame retardant in polyolefins via industrial hyperspectral imaging system and machine learning. Waste Management, 170, 1-7. https://doi.org/10.1016/j.wasman.2023.07.026

Amariei, G., Henriksen, M. L., Friis, J. B., Pedersen, P. K. & Hinge, M. (2023). In-line identification of Pb-based pigments in fishing nets and ropes based on hyperspectral imaging and machine learning. Marine Pollution Bulletin, 191, Artikel 114910. https://doi.org/10.1016/j.marpolbul.2023.114910

Krysiak, Z. J., Abdolmaleki, H., Agarwala, S. & Stachewicz, U. (2022). Inkjet Printing of Electrodes on Electrospun Micro- and Nanofiber Hydrophobic Membranes for Flexible and Smart Textile Applications. Polymers, 14(22), Artikel 5043. https://doi.org/10.3390/polym14225043

Abdolmaleki, H., Haugen, A. B., Merhi, Y., Nygaard, J. V. & Agarwala, S. (2023). Inkjet-printed flexible piezoelectric sensor for self-powered biomedical monitoring. Materials Today Electronics, 5, Artikel 100056. https://doi.org/10.1016/j.mtelec.2023.100056

Jensen, J. C. S. (Producent) & Nørremark, M. (Producent). (2022). Influence of the tire pressure on yield: Fendt VarioGrip. Billeder, Video- og Lydoptagelser (digital) https://www.youtube.com/watch?v=i7pZQ41xzkI

Nørremark, M., Nilsson, R. S. & Grøn Sørensen, C. (2022). In-Field Route Planning Optimisation and Performance Indicators of Grain Harvest Operations. Agronomy, 12(5), Artikel 1151. https://doi.org/10.3390/agronomy12051151

Villa-Henriksen, A., Skou-Nielsen, N., Munkholm, L. J., Sørensen, C. A. G., Green, O. & Edwards, G. T. C. (2021). Infield optimized route planning in harvesting operations for risk of soil compaction reduction. Soil Use and Management, 37(4), 810-821. https://doi.org/10.1111/sum.12654

Zambrano, V., Mueller-Roemer, J., Sandberg, M., Talasila, P., Zanin, D., Larsen, P. G., Loeschner, E., Thronicke, W., Pietraroia, D., Landofi, G., Fontana, A., Laspalas, M., Antony, J., Poser, V., Kiss, T., Bergweiler, S., Pena Serna, S., Izquierdo, S., Viejo, I. ... Stork, A. (2022). Industrial Digitalization in the Industry 4.0 era: Classification, Reuse and Authoring of Digital Models on Digital Twin Platforms. Array, 14, Artikel 100176. https://doi.org/10.1016/j.array.2022.100176

Alsadat, M., Vlasov, Y., Vorobev, P., Terzjia, V., Ibanez, F. & Perić, V. S. (2023). Improving Transients for Droop-Controlled Inverters. I APEC 2023 - 38th Annual IEEE Applied Power Electronics Conference and Exposition (s. 1003-1008). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APEC43580.2023.10131505

Ibanez, F., Mahmoud, A. S., Yaroslav, V., Peric, V. & Vorobev, P. (2023). Improving the power sharing transients in droop-controlled inverters with the introduction of an angle difference limiter. International Journal of Electrical Power and Energy Systems, 153, Artikel 109371. https://doi.org/10.1016/j.ijepes.2023.109371

Nazari, H. K., Ghassabi, K., Pahlevani, P. & Lucani Rötter, D. E. (2021). Improving the Decoding Speed of Packet Recovery in Network Coding. IEEE Communications Letters, 25(2), 351-355. Artikel 9226485. https://doi.org/10.1109/LCOMM.2020.3031011

Bakhtiarnia, A., Zhang, Q. & Iosifidis, A. (2021). Improving the Accuracy of Early Exits in Multi-Exit Architectures via Curriculum Learning. I 2021 International Joint Conference on Neural Networks (IJCNN) IEEE. https://doi.org/10.1109/IJCNN52387.2021.9533875

Zhao, X., Hosseinzadeh, M., Hudson, N., Khamfroush, H. & Lucani Rötter, D. E. (2020). Improving the Accuracy-Latency Trade-off of Edge-Cloud Computation Offloading for Deep Learning Services. I 2020 IEEE Globecom Workshops, GC Wkshps 2020 - Proceedings Artikel 367470 IEEE. https://doi.org/10.1109/GCWkshps50303.2020.9367470, https://doi.org/10.1109/GCWkshps50303.2020.9367470

Rasooli Berardehi, Z., Zhang , C., Taheri, M., Roohi, M. & Khooban, M. H. (2023). Implementation of T-S fuzzy approach for the synchronization and stabilization of non-integer-order complex systems with input saturation at a guaranteed cost. Transactions of the Institute of Measurement and Control, 45(13), 2536-2553. https://doi.org/10.1177/01423312231155273

Peric, V. S., Baudette, M., Vanfretti, L., Gjerde, J. O. & Lovlund, S. (2014). Implementation and testing of a real-time mode estimation algorithm using ambient PMU data. Afhandling præsenteret på 2014 Clemson University Power Systems Conference, PSC 2014, Clemson, SC, USA. https://doi.org/10.1109/PSC.2014.6808116

Villa-Henriksen, A. (2021). Implementation and applications of harvest fleet route planning. Aarhus Universitet.

Song, R., Hamacher, T. & Perić, V. S. (2021). Impact of hydraulic faults on the electric system in an integrated multi-energy microgrid. I 9th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, MSCPES 2021, Held as part of the Cyber-Physical Systems and Internet-of-Things Week, Proceedings Artikel 3472709 Association for Computing Machinery, Inc. https://doi.org/10.1145/3470481.3472709

Bogodorova, T., Vanfretti, L., Peric, V. S. & Turitsyn, K. (2017). Identifying Uncertainty Distributions and Confidence Regions of Power Plant Parameters. IEEE Access, 5, 19213-19224. Artikel 8045996. https://doi.org/10.1109/ACCESS.2017.2754346

Hansen, J. P., Jespersen, L. M., Brunori, G., Jensen, A. L., Holst, K., Mathiesen, C., Halberg, N. & Rasmussen, I. A. (2014). ICT and social media as drivers of multi-actor innovation in agriculture. I World Conference on Computers in Agriculture, San Jose, Costa Rica, 2014 https://journals.sfu.ca/cigrp/index.php/Proc/article/view/162/161

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Revideret 10.08.2023

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