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

Sortér efter: Dato | Forfatter | Titel

Rehman, N. U. & Mandic, D. P. (2009). Qualitative analysis of rotational modes within three dimensional empirical mode decomposition. I 2009 IEEE International Conference on Acoustics, Speech and Signal Processing IEEE. https://doi.org/10.1109/icassp.2009.4960367

Razmi, P., Fathollahidehkordi, A., Gheisarnejad Chirani, M. & Khooban, M. H. (2023). Neuromorphic deep learning frequency regulation in stand-alone microgrids. Applied Soft Computing, 144, artikel 110418. https://doi.org/10.1016/j.asoc.2023.110418

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

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

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. adv. onlinepublikation. https://doi.org/10.1080/07373937.2023.2205799

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://ietresearch.onlinelibrary.wiley.com/doi/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

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. adv. onlinepublikation. https://doi.org/10.1002/cta.3469

Pullens, J. W. M., Sørensen, C. A. G. & Olesen, J. E. (2021). Temperature-based prediction of harvest date in winter and spring cereals as a basis for assessing viability for growing cover crops. Field Crops Research, 264, artikel 108085. https://doi.org/10.1016/j.fcr.2021.108085

Pradeepkumar, J., Anandakumar, M., Kugathasan, V., Lalitharatne, T. D., De Silva, A. C. & Kappel, S. L. (2021). Decoding of Hand Gestures from Electrocorticography with LSTM Based Deep Neural Network. I 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021 (s. 420-423). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC46164.2021.9630958

Potapenko, I., Thiesson, B., Kristensen, M., Hajari, J. N., Ilginis, T., Fuchs, J., Hamann, S. & la Cour, M. (2022). Automated artificial intelligence-based system for clinical follow-up of patients with age-related macular degeneration. Acta Ophthalmologica, 100(8), 927-936. https://doi.org/10.1111/aos.15133

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

Pierce, K., Lausdahl, K. & Frasheri, M. (2022). Speeding Up Design Space Exploration through Compiled Master Algorithms. I H. D. Macedo & K. Pierce (red.), Proceedings of the 20th International Overture Workshop (s. 66-81) https://doi.org/10.48550/arXiv.2208.10233

Pianini, D., Pettinari, F., Casadei , R. & Esterle, L. (2022). A Collective Adaptive Approach to Decentralised k-Coverage in Multi-robot Systems. ACM Transactions on Autonomous and Adaptive Systems, 17(1-2), 1-39. artikel 4. https://doi.org/10.1145/3547145

Phan, H. & Mikkelsen, K. (2022). Automatic sleep staging of EEG signals: recent development, challenges, and future directions. Physiological Measurement, 43(4), artikel 04TR01. https://doi.org/10.1088/1361-6579/ac6049

Phan, H., Mikkelsen, K., Chen, O. Y., Koch, P., Mertins, A. & De Vos, M. (2022). SleepTransformer: Automatic Sleep Staging With Interpretability and Uncertainty Quantification. IEEE Transactions on Biomedical Engineering, 69(8), 2456-2467. https://doi.org/10.1109/TBME.2022.3147187

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

Pham, H. X., Ugurlu, H. I., Fevre, J. L., Bardakci, D. & Kayacan, E. (2022). Deep learning for vision-based navigation in autonomous drone racing. I A. Iosifidis & A. Tefas (red.), Deep Learning for Robot Perception and Cognition (s. 371-406). Elsevier. https://doi.org/10.1016/B978-0-32-385787-1.00020-8

Pham, X. H., Sarabakha, A., Odnoshyvkin, M. & Kayacan, E. (2022). PencilNet: Zero-Shot Sim-to-Real Transfer Learning for Robust Gate Perception in Autonomous Drone Racing. IEEE Robotics and Automation Letters, 7(4), 11847 - 11854. https://doi.org/10.1109/LRA.2022.3207545

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

Pedersen, L., Wagner, S., Skov, H. & Sandager, P. (2023). A Time Study for the Analysis of the Potential for the Automated Stepwise Screening Program for Preeclampsia at Week 12 of Gestation. 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. 189-199). Springer. https://doi.org/10.1007/978-3-031-29548-5_13

Payne, D. N. R., Abbott, M. D., Claville Lopez, A., Zeng, Y., Hang Fung, T., R. McIntosh, K., Cruz-Campa, J., Davidsen, R. S., Plakhotnyuk, M. & Bagnall, D. M. (2017). Rapid optical modelling of plasma textured silicon. I Proceedings of the 33rd European Photovoltaic Solar Energy Conference and Exhibition (EUPVSEC)

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

Passalis, N., Iosifidis, A., Gabbouj, M. & Tefas, A. (2021). Robust hypersphere-based weight imprinting for few-shot learning. I 2020 28th European Signal Processing Conference (EUSIPCO (s. 1392-1396). artikel 9287340 IEEE. https://doi.org/10.23919/Eusipco47968.2020.9287340

Passalis, N., Kanniainen, J., Gabbouj, M., Iosifidis, A. & Tefas, A. (2021). Forecasting Financial Time Series Using Robust Deep Adaptive Input Normalization. Journal of Signal Processing Systems, 93(10), 1235-1251. https://doi.org/10.1007/s11265-020-01624-0

Park, C., Looney, D., Rehman, N. U., Ahrabian, A. & Mandic, D. P. (2013). Classification of Motor Imagery BCI Using Multivariate Empirical Mode Decomposition. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 21(1), 10-22. https://doi.org/10.1109/tnsre.2012.2229296

Paredis, R., Gonçalves Gomes, C. Â. & Vangheluwe, H. (2021). Towards a Family of Digital Model/Shadow/Twin Workflows and Architectures: I H. Panetto, M. Macchi & K. Madani (red.), Proceedings of the 2nd International Conference on Innovative Intelligent Industrial Production and Logistics, IN4PL 2021 (s. 174-182). SCITEPRESS Digital Library. https://doi.org/10.5220/0010717600003062

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

Oshnoei, S., Fathollahidehkordi, A., Oshnoei, A. & Khooban, M. H. (2023). Microgrid Frequency Regulation Based on a Fractional Order Cascade Controller. Fractal Fractional, 7(4), artikel 343. https://www.mdpi.com/2504-3110/7/4/343

Oshnoei, S., Aghamohammadi, M. R., Oshnoei , S., Sahoo, S., Fathollahidehkordi, A. & Khooban, M. H. (2023). A novel virtual inertia control strategy for frequency regulation of islanded microgrid using two-layer multiple model predictive control. Applied Energy, 343, artikel 121233. https://doi.org/10.1016/j.apenergy.2023.121233

Oleksiienko, I. & Iosifidis, A. (2021). Analysis of voxel-based 3D object detection methods efficiency for real-time embedded systems. I N. Mallenahalli, A. Bhattacharya, S. Senatore, A. Negi & A. Hirose (red.), 2021 International Conference on Emerging Techniques in Computational Intelligence (ICETCI) (s. 59-64). IEEE. https://doi.org/10.1109/ICETCI51973.2021.9574075

Oleksiienko, I., Tran, D. T. & Iosifidis, A. (2022). Variational Neural Networks implementation in Pytorch and JAX[Formula presented]. Software Impacts, 14, artikel 100431. https://doi.org/10.1016/j.simpa.2022.100431

Oleksiienko, I. & Iosifidis, A. (2022). 3D object detection and tracking. I A. Iosifidis & A. Tefa (red.), Deep Learning for Robot Perception and Cognition (s. 313-340). Elsevier. https://doi.org/10.1016/B978-0-32-385787-1.00018-X

Oleksiienko, I. (2023). Uncertainty Estimation for 3D Object Detection and Tracking. Aarhus University.

Oda, T., Akari, K., Yamamoto, Y., Nakakoji, K., Chang, H-M. & Larsen, P. G. (2021). Specifying Abstract User Interface in VDM-SL. I J. Fitzgerald, T. Oda & H. D. Macedo (red.), Proceedings of the 18th International Overture Workshop (s. 5-20) https://arxiv.org/pdf/2101.07261.pdf

Oda, T., Araki, K., Sahara, S., Chang, H-M. & Larsen, P. G. (2021). Refactoring for Exploratory Specification in VDM-SL. I H. D. Macedo, C. Thule & K. Pierce (red.), Proceedings of the 19th International Overture Workshop (s. 21-35) https://arxiv.org/abs/2110.09371

Oda, T., Kusakabe, S., Chang, H-M. & Larsen, P. G. (2022). VDM-SL in action: A FRAM-based approach to contextualise formal specifications. I H. D. Macedo & K. Pierce (red.), Proceedings of the 20th International Overture Workshop (s. 5-18) https://doi.org/10.48550/arXiv.2208.10233

Viser resultater 151 til 200 ud af 723

Forrige

Næste

Tekniske rapporter

Institut for Elektro- og Computerteknologi udgiver en serie af tekniske rapporter.

Formålet med rapporterne er at formidle aktuel viden til omverdenen forud for og under publiceringsprocessen, som i nogle tilfælde kan tage op til et år.

Læs de tekniske rapporter ved at klikke nedenfor:

Technical Report Department of Electrical and Computer Engineering

Ph.d.-afhandlinger

Ph.d.-afhandinger ved Institut for Elektro- og Computerteknologi udgives gennem Statsbibliotekets/AU library's online E-books platform, hvor der er open access. Du kan finde publicerede afhandlinger ved at følge linket nedenfor.

Ph.d.-afhandlinger ved Institut for Elektro- og Computerteknologi

AU Engineering Profile

Download AU Engineering Profile 2013-2022:

Få tilsendt AU Engineering Profile 2022

Ønsker du at modtage et eksemplar af AU Engineering Profile 2022, er du velkommen til at sende en mail til contact@auengineering.au.dk

Revideret 10.08.2023

AU Engineering