Institut for Elektro- og Computerteknologi

Aarhus Universitets segl

Publikationer fra instituttet

Under publikationsliste finder du en samlet liste over de publikationer, som er lavet af medarbejdere ved Institut for Elektro- og Computerteknologi.

Publikationsliste

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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.
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
Far Brusatori, M. (2023). Engineering Optical Feedback for Stable Diode Laser Performance. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.
Abdolmaleki, H. (2023). Enhancement of Electrical Properties of Inkjet Printed Fluoropolymer Films through Functional Fillers. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.
Sadat Parvini, T., Paz, E., Böhnert, T., Schulman, A., Benetti, L., Oberbauer, F., Walowski, J., Moradi, F., Ferreira, R. & Münzenberg, M. (2023). Enhancing spin-transfer torque in magnetic tunnel junction devices: Exploring the influence of capping layer materials and thickness on device characteristics. Journal of Applied Physics, 133(24), Artikel 243902. https://doi.org/10.1063/5.0151480
Khare, S. K., Bajaj, V., Gaikwad, N. B. & Sinha, G. R. (2023). Ensemble Wavelet Decomposition-Based Detection of Mental States Using Electroencephalography Signals. Sensors, 23(18), Artikel 7860. https://doi.org/10.3390/s23187860
Inci, E. O., Desmet, W., Gomes, C. & Croes, J. (2023). Error Estimators for Adaptive Scheduling Algorithm for Serial Co-Simulation. I M. J. Blas & G. Alvarez (red.), 2023 Annual Modeling and Simulation Conference (ANNSIM) (s. 73-83). IEEE. https://ieeexplore.ieee.org/document/10155365
Amariei, G., Schaarup-Kjær, A. S., Klarskov, P., Henriksen, M. L. & Hinge, M. (2023). Estimation of pigment concentration in LDPE via in-line hyperspectral imaging and machine learning. Journal of Spectral Imaging, 12(a2). https://doi.org/10.1255/jsi.2023.a2
Oakes, B. J., Gomes, C., Larsen, P. G., Denil, J., Deantoni, J., Cambeiro, J. & Fitzgerald, J. (2023). Examining Model Qualities and Their Impact on Digital Twins. I M. J. Blas & G. Alvarez (red.), 2023 Annual Modeling and Simulation Conference (ANNSIM) (s. 220-232). IEEE. https://ieeexplore.ieee.org/document/10155350
Sepehrzad, R., Ghafourian, J., Hedayatnia, A., Al-Durrad, A. & Khooban, M. H. (2023). Experimental and developed DC microgrid energy management integrated with battery energy storage based on multiple dynamic matrix model predictive control. Journal of Energy Storage, 74(Part A), Artikel 109282. https://doi.org/10.1016/j.est.2023.109282
Kakavandi, F. & Larsen, P. G. (2023). Explainable Product Quality Assessment in a Medical Device Assembly Pilot Line. I 2022 10th International Conference on Control, Mechatronics and Automation (ICCMA) (s. 271-275). IEEE. https://doi.org/10.1109/ICCMA56665.2022.10011621
Honoré, J. T., Rask, R. D. & Wagner, S. R. (2023). Fall Detection Combining Android Accelerometer and Step Counting Virtual Sensors. I G. A. Papadopoulos, A. Achilleos, E. Pissaloux & R. Velázquez (red.), ICT for Health, Accessibility and Wellbeing - 2nd International Conference, IHAW 2022, Revised Selected Papers (s. 3-16). Springer. https://doi.org/10.1007/978-3-031-29548-5_1
Kopler, I., Marchaim, U., Tikász, I. E., Opaliński, S., Kokin, E., Mallinger, K., Neubauer, T., Gunnarsson, S., Soerensen, C., Phillips, C. J. C. & Banhazi, T. (2023). Farmers’ Perspectives of the Benefits and Risks in Precision Livestock Farming in the EU Pig and Poultry Sectors. Animals, 13(18), Artikel 2868. https://doi.org/10.3390/ani13182868
Larsen, P. G., Esterle, L., Fitzgerald, J. & Frasheri, M. (2023). Fault Injection in Co-simulation and Digital Twins for Cyber-Physical Robotic Systems. I Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (s. 222-236). Springer Science+Business Media. https://doi.org/10.1007/978-3-031-40132-9_14
Aguzzi, G., Viroli, M. & Esterle, L. (2023). Field-informed Reinforcement Learning of Collective Tasks with Graph Neural Networks. I Proceedings - 2023 IEEE International Conference on Autonomic Computing and Self-Organizing Systems, ACSOS 2023 (s. 37-46). IEEE. https://doi.org/10.1109/ACSOS58161.2023.00021
Bjerge, K., Pinoy, N., Karstoft, H. & Høye, T. T. (2023). Field trials with automated moth monitoring in three different habitats of Denmark. Abstract fra 2023 Butterfly Conservation Symposium, Bedfordshire , Storbritannien.
Jensen, R. I. T. & Iosifidis, A. (2023). Fighting Money Laundering With Statistics and Machine Learning. IEEE Access, 11, 8889-8903. https://doi.org/10.1109/ACCESS.2023.3239549
Mohseni, S.-R., Jahanshahi Zeitouni, M., Parvaresh, A., Abrazeh, S., Gheisarnejad Chirani, M. & Khooban, M. H. (2023). FMI real-time co-simulation-based machine deep learning control of HVAC systems in smart buildings: Digital-twins technology. Transactions of the Institute of Measurement and Control, 45(4), 661-673. https://doi.org/10.1177/01423312221119635
Thomsen, S. T., Brusatori, M. F., Arent, N. H., Kumar, R. R. & Volet, N. (2023). Frequency noise measurements using coherent self-heterodyne detection. Optics Letters, 48(24), 6372-6375. https://doi.org/10.1364/OL.505960
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
Hurst, A., Lucani Rötter, D. E., Assent, I. & Zhang, Q. (2023). GLEAN: Generalized Deduplication Enabled Approximate Edge Analytics. IEEE Internet of Things Journal, 10(5), 4006-4020. https://doi.org/10.1109/JIOT.2022.3166455
Frasheri, M., Miloradovic, B., Esterle, L. & Papadopoulos, A. V. (2023). GLocal: A Hybrid Approach to the Multi-Agent Mission Re-Planning Problem. Proceedings (IEEE Symposium Series on Computational Intelligence), 1696-1703. https://doi.org/10.1109/SSCI52147.2023.10371893
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
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
Andresen, B., Søgaard, C. T. & Zamastil, M. M. (2023). Grid Code Requirements for Connecting a Hybrid Power Plant: An overview of status and recommendations for future requirements. I 22nd Wind and Solar Integration Workshop (WIW 2023) (s. 22-29). Institution of Engineering and Technology. https://doi.org/10.1049/icp.2023.2714
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
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
Sadeghi, M., Rezaeiyan, Y., Fernández Khatiboun, D. & Moradi, F. (2023). Hardware Implementation of a Resource-Efficient Router for Multi-Core Spiking Neural Networks. I ISCAS 2023 - 56th IEEE International Symposium on Circuits and Systems, Proceedings (s. 1-5). IEEE. https://doi.org/10.1109/ISCAS46773.2023.10182040
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
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
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
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
Maalandish, M., Hosseini, S. H., Sabahi, M., Rostami, N. & Khooban, M. H. (2023). High step-up multi input–multi output DC–DC converter with high controllability for battery charger/EV applications. IET Power Electronics, 16(15), 2606-2623. https://doi.org/10.1049/pel2.12587
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.), ECPPM 2022 - eWork and eBusiness in Architecture, Engineering and Construction 2022: Proceedings of the 14th European Conference on Product and Process Modelling (ECPPM 2022), September 14-16, 2022, Trondheim, Norway (s. 27-34). CRC Press. https://doi.org/10.1201/9781003354222-4
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
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
Cielecki, P. P., Hardenberg, M., Amariei, G., Henriksen, M. L., Hinge, M. & Klarskov, P. (2023). Identification of black plastics with terahertz time-domain spectroscopy and machine learning. Scientific Reports, 13(1), Artikel 22399. https://doi.org/10.1038/s41598-023-49765-z
Oda, T., Dur, G., Ducasse, S. & Macedo, H. D. (2023). Implementation-First Approach of Developing Formal Semantics of a Simulation Language in VDM-SL.
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
Wewer, C. R. & Iosifidis, A. (2023). Improving Online non-destructive Moisture Content Estimation using Data Augmentation by Feature Space Interpolation with Variational Autoencoders. I 2023 IEEE 21st International Conference on Industrial Informatics (INDIN) IEEE. https://doi.org/10.1109/INDIN51400.2023.10218063
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
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
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
Abraham, E. (red.), Hallerstede, S. (red.), Hatcliff, J. (red.), Stewart, D. (red.) & Abou El Wafa, N. (2023). Integrated Rigorous Analysis in Cyber-Physical Systems Engineering. Dagstuhl Reports, 13(1), 155-183. https://doi.org/10.4230/DagRep.13.1.155
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
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
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 2023 International Conference on Control, Automation and Diagnosis (ICCAD 2023) IEEE. https://doi.org/10.1109/ICCAD57653.2023.10152435
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
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
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

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