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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Ronchini, M. (2023). Low Power IC Implementation of Spiking Neural Networks for Implantable Neuromorphic Chips. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.
the PRESIDE Study Group (2025). Screening for pre-eclampsia using pregnancy-associated plasma protein-A or placental growth factor measurements in blood samples collected at 8–14 weeks' gestation. Ultrasound in Obstetrics and Gynecology, 65(5), 567-574. https://doi.org/10.1002/uog.29204
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/
Riishede Christiansen, I. L., Ekelund, C. K., Sperling, L., Overgaard, M., Knudsen, C. S., Clausen, T. D., Pihl, K., Zingenberg, H., Wright, A., Wright, D., Tabor, A., Rode, L. & Collaborators (2024). Screening for pre-eclampsia with competing-risks model using placental growth factor measurement in blood samples collected before 11 weeks' gestation. Ultrasound in Obstetrics & Gynecology, 63(3), 342-349. https://doi.org/10.1002/uog.27462
Riishede, I., Rode, L., Sperling, L., Ravn, J. D., Sandager, P., Skov, H., Wagner, S. R., Nørgaard, P., Clausen, T. D., Jensen, C. A. J., Pihl, K., Jørgensen, F. S., Munk, J. K., Zingenberg, H. J., Pedersen, N. G., Andersen, M. R., Wright, A., Wright, D., Tabor, A. & Ekelund, C. K. (2023). Pre-eclampsia screening in Denmark (PRESIDE): national validation study. Ultrasound in Obstetrics and Gynecology, 61(6), 682-690. https://doi.org/10.1002/uog.26183
Riishede, I., Rode, L., Sperling, L., Overgaard, M., Ravn, J. D., Sandager, P., Skov, H., Wagner, S. R., Nørgaard, P., Clausen, T. D., Jensen, C. A. J., Pihl, K., Jørgensen, F. S., Munk, J. K., Zingenberg, H. J., Pedersen, N. G., Andersen, M. R., Wright, A., Wright, D. ... Ekelund, C. K. (2023). Pre-eclampsia Screening in Denmark (PRESIDE): National Validation Study. Obstetrical and Gynecological Survey, 78(12), 715-717. https://doi.org/10.1097/01.ogx.0001004636.48406.54
Richter, S., Khatiboun, D. F., Sadeghi, M., Zamani, M. & Moradi, F. (2025). Non-uniform Memory Partitioning For Low-Power Spiking Neural Networks. I AICAS 2025 - 2025 7th IEEE International Conference on Artificial Intelligence Circuits and Systems, Proceedings IEEE. https://doi.org/10.1109/AICAS64808.2025.11173151
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
Rezaeiyan, Y., Kolivand, Y., Zamani, M., Shoaei, O., Akbari, M., Moradi, F. & Tang, K. T. (2023). A 4.5 μW Miniaturized 3-Channel Wireless Intra-Cardiac Acquisition System. IEEE Transactions on Biomedical Circuits and Systems, 17(5), 1097-1110. https://doi.org/10.1109/TBCAS.2023.3294560
Rezaeiyan, Y., Zamani, M., Shreya, S., Farkhani, H. & Moradi, F. (2023). Spin-Torque Based Radio-Frequency Signal Classification Front-End. I 2023 IEEE International Symposium on Circuits and Systems (ISCAS) IEEE. https://doi.org/10.1109/ISCAS46773.2023.10181428
Rezaeiyan, Y., Lykkeberg Madsen, N., Bohnert, T., Zamani, M., Shreya, S., Paz, E., Farkhani, H., Ferreira, R. & Moradi, F. (2023). A low-noise high-linear wide dynamic-range MTJ-based magnetic field sensor. I 2023 IEEE Nordic Circuits and Systems Conference (NorCAS) IEEE. https://doi.org/10.1109/NorCAS58970.2023.10305454
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
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) (Bind 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
Rehman, Z. U., Hassan, U., Islam, S. U., Gallos, P. & Boudjadar, J. (2025). Energy-Efficient AI for Medical Diagnostics: Performance and Sustainability Analysis of ResNet and MobileNet. I Intelligent Health Systems – From Technology to Data and Knowledge (s. 1225-1229). IOS Press. https://doi.org/10.3233/SHTI250585
Reese, F. S., Amariei, G., Henriksen, M. L., Klarskov, P. & Hinge, M. (2025). Quantitative identification of melamine flame retardant in polyolefins with hyperspectral imaging and machine learning. Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy, 333, Artikel 125870. https://doi.org/10.1016/j.saa.2025.125870
Reddy, C. V., Vijayalakshmi, M., Bandaru, N., Cheolho, B. & Shim, J. (2025). Engineering charge transfer pathways in photocatalysis: A Comprehensive review of Z-, S-, R-, and C-scheme mechanisms. Journal of Alloys and Compounds, 1043, Artikel 184244. https://doi.org/10.1016/j.jallcom.2025.184244
Razmi, P., Rahimi, T., Gheisarnejad Chirani, M. & Khooban, M. H. (2025). Adaptive fuzzy gain scheduling PID controller for frequency regulation in modern power system. IET Renewable Power Generation, 19(1), Artikel e12569. https://doi.org/10.1049/rpg2.12569
Rausch, C., Talebi, S., Poshdar, M., Li, B. & Schultz, C. (2022). Tolerance management domain model for semantic enrichment of BIMs. Automation in Construction, 141, Artikel 104394. https://doi.org/10.1016/j.autcon.2022.104394
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
Rasool, S., Saleem, A., Ikram Ul Haq, M. & Jacobsen, R. H. (2024). Towards Zero Trust Security for Prosumer-Driven Verifiable Green Energy Certificates. I 2024 7th International Conference on Energy Conservation and Efficiency (ICECE) (s. 1-6). IEEE. https://doi.org/10.1109/ICECE61222.2024.10505279
Rasool, S. & Jacobsen, R. H. (2024). REC to ReCert: Introducing Re-Certification to Empower Prosumer-driven Certificate Aggregators. I 2024 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2024 (s. 77-83). IEEE. https://doi.org/10.1109/SmartGridComm60555.2024.10738030
Rasool, S. & Jacobsen, R. H. (2025). Perspective Chapter: Leveraging Self-Sovereign Identity to Introduce ReCert: A Foundational Framework for Decentralized BCTE Solutions. I Blockchain - Pioneering the Web3 Infrastructure for an Intelligent Future InTechOpen. https://doi.org/10.5772/intechopen.1007156
Rasmussen, S. M., Nielsen, T., Hody, S., Hager, H. & Schousboe, L. P. (2021). Photoplethysmography for demarcation of cutaneous squamous cell carcinoma. Scientific Reports, 11, Artikel 21467. https://doi.org/10.1038/s41598-021-00645-4
Rasmussen, S. M., Nielsen, T., Hody, S., Hager, H. & Schousboe, L. P. (2022). Author Correction: Photoplethysmography for demarcation of cutaneous squamous cell carcinoma (Scientific Reports, (2021), 11, 1, (21467), 10.1038/s41598-021-00645-4). Scientific Reports, 12(1), Artikel 3521. https://doi.org/10.1038/s41598-022-06856-7
Rasmussen, I. A., Jensen, A. L. & Willer, H. (2021). Organic Eprints - Helping Science Go To Work. Afhandling præsenteret på Organic World Congress 2021, Rennes, Frankrig. https://orgprints.org/id/eprint/42172/1/OWC2020-SCI-239.pdf
Rasmussen, I. A., Jensen, A. L. & Willer, H. (2021). Organic Eprints - Helping science go to work. Poster-session præsenteret på Organic World Congress 2021, Rennes, Frankrig. https://orgprints.org/id/eprint/42339/2/OWC2020-SCI-239_ORGANIC%20EPRINTS%20-%20HELPING%20SCIENCE%20GO%20TO%20WORK_poster_RasmussenIA.pdf
Rasmussen, I. A., Moeskops, B., Micheloni, C., Gócs, K., Jensen, A. L., Jørgensen, M. S., Kristensen, H., Willer, H. & Padel, S. (2018). Organic Knowledge Network Arable: D.4.3 Final report on evaluation of end-user material. https://orgprints.org/id/eprint/37847/2/OK_Net_WP4_D.4.3_final.pdf
Rasmussen, I. A. & Jensen, A. L. (2018). Organic Knowledge Network Arable OK-Net Arable: Online knowledge platform. Afhandling præsenteret på Horizon 2020 Aarhus, Aarhus, Danmark. https://orgprints.org/id/eprint/32268/1/OK_Net_WP4_D4.1_Knowledge%20Platform_20161013.pdf
Rasmussen, I. A. & Jensen, A. L. (2013, aug.). User guide. www.orgprints. https://orgprints.org/id/eprint/29427/1/2013_Screenshot_manual_Organic_Eprints.pdf
Rasmussen, S. M., Nielsen, T., Hager, H. & Schousboe, L. P. (2022). Spatial analysis of photoplethysmography in cutaneous squamous cell carcinoma. Scientific Reports, 12(1), Artikel 7318. https://doi.org/10.1038/s41598-022-10924-3
Rask, J. K., Madsen, F. P., Battle, N., Macedo, H. D. & Larsen, P. G. (2021). Visual Studio Code VDM Support. I J. Fitzgerald, T. Oda & H. D. Macedo (red.), Proceedings of the 18th International Overture Workshop (s. 35-50) https://arxiv.org/pdf/2101.07261.pdf
Rask, J. K., Madsen, F. P., Battle, N., Macedo, H. D. & Larsen, P. G. (2021). The Specification Language Server Protocol: A Proposal for Standardised LSP Extensions. I J. Proença & A. Paskevich (red.), Proceedings of the 6th Workshop on Formal Integrated Development Environment (Bind 338, s. 3-18). Open Publishing Association. https://doi.org/10.4204/EPTCS.338.3
Rask, J. K., Madsen, F. P., Battle, N., Freitas, L., Macedo, H. D. & Larsen, P. G. (2022). Advanced VDM Support in Visual Studio Code. I H. D. Macedo & K. Pierce (red.), Proceedings of the 20th International Overture Workshop (s. 34-49) https://doi.org/10.48550/arXiv.2208.10233
Rask, C. D. & Lucani Rötter, D. E. (2024). RAGE for the Machine: Image Compression with Low-Cost Random Access for Embedded Applications. I 2024 IEEE International Conference on Image Processing, ICIP 2024: Proceedings (s. 1987-1993). IEEE. https://doi.org/10.1109/ICIP51287.2024.10647293
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
Rashidi, A., Zamani, M., Mondal, T., Hosseini, S., Laursen, K., Corbett, B. & Moradi, F. (2023). Ultrasonically Powered and Controlled Microsystem for Dual-Wavelength Optogenetics With a Multiload Regulation Scheme. IEEE Solid-State Circuits Letters, 6, 33-36. https://doi.org/10.1109/LSSC.2023.3239601
Ramakrishna, S., Li, F., Kijeńska-Gawrońska, E. & Agarwala, S. (2023). Where is science heading? The main challenges before today’s scientists? Drying Technology, 41(6), 812-816. https://doi.org/10.1080/07373937.2023.2205799
Raj, R. K., Saini, S., Verma, R. S., Kaushik, B. K. & Shreya, S. (2025). Dzyaloshinskii–Moriya interaction gradient driven skyrmion based energy efficient leaky integrate fire neuron. Journal of Magnetism and Magnetic Materials, 614, Artikel 172694. https://doi.org/10.1016/j.jmmm.2024.172694
Raj, R. K., Kumar, A., Rezaeiyan, Y., Klarskov, P., Moradi, F. & Shreya, S. (2025). Analytical Approach to Engineer Strain-Gradient for Magnetic Skyrmion-based LeakyIntegrate and Fire Neuronal Dynamics. I IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2025 - Conference Proceedings IEEE Computer Society Press. https://doi.org/10.1109/ISVLSI65124.2025.11130237
Rahimi, M., Momenzadeh, M., Akhbari, A. & Khooban, M. H. (2023). Performance enhancement of parallel-operated inverter-based virtual synchronous generators supplying active load. IET Electric Power Applications, 17(6), 835-854. https://doi.org/10.1049/elp2.12307
Rafiei Foroushani, M., Griffiths, M. P., Boudjadar, J. & Khooban, M. H. (2021). Deep Learning-Based Energy Management of an All-electric City Bus with Wireless Power Transfer. IEEE Access, 9, 43981-43990. Artikel 9380640. https://doi.org/10.1109/ACCESS.2021.3066300
Rafiei Foroushani, M., Raitoharju, J. & Iosifidis, A. (2023). Computer Vision on X-Ray Data in Industrial Production and Security Applications: A Comprehensive Survey. IEEE Access, 11, 2445 - 2477. https://doi.org/10.1109/ACCESS.2023.3234187
Rafiei Foroushani, M. & Iosifidis, A. (2023). Class-Specific Variational Auto-Encoder for Content-Based Image Retrieval. I 2023 International Joint Conference on Neural Networks (IJCNN) IEEE. https://doi.org/10.1109/IJCNN54540.2023.10191068
Rafiei Foroushani, M., Tran, D. T. & Iosifidis, A. (2023). Recognition of Defective Mineral Wool Using Pruned ResNet Models. I H. Dorksen, S. Scanzio, J. Jasperneite, L. Wisniewski, K. F. Man, T. Sauter, L. Seno, H. Trsek & V. Vyatkin (red.), 2023 IEEE 21st International Conference on Industrial Informatics (INDIN) IEEE. https://doi.org/10.1109/INDIN51400.2023.10217993
Rafiei Foroushani, M. & Nørremark, M. (2025). Investigation of available ground-truth data in Denmark that can be used for remote identification and localization of populations of selected plant species. DCA - Nationalt Center for Fødevarer og Jordbrug. Rådgivningsrapport fra DCA - Nationalt Center for Fødevarer og Jordbrug
Rafiei Foroushani, M. (2024). Advancing Computer Vision in Irregular Texture Product Analysis. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus University.
Rafiei Foroushani, M., Asif, M. R., Nørremark, M. & Grøn Sørensen, C. (2025). Temporal and Spatial Analysis of Critical Field Points Using High-Resolution Soil Water Content Estimation Employing Remote Sensing and Deep-Learning. Abstract fra EGU General Assembly 2025, Vienna, Østrig. https://doi.org/10.5194/egusphere-egu25-18129
Rafiei, M., Asif, MR., Nørremark, M. & Sørensen, CAG. (2024). High-Resolution Near-Surface Soil Water Content Estimation, Using Remote Sensing Data and Deep Computer Vision Methods. I NSG 2024 30th European Meeting of Environmental and Engineering Geophysics (s. 1-5). European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.202420111

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AU Engineering