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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Griffiths, M. P., Grombacher, D. J. & Larsen, J. J. (2021). Efficient numerical Bloch solutions for multipulse surface NMR. Geophysical Journal International, 227(3), 1905-1916. https://doi.org/10.1093/gji/ggab321
Frydenlund, A., Poggi, A. I., Hansen, S. K., Brage-Andersen, M., Merhi, Y., Agarwala, S., Mikkelsen, P. H., Nygaard, J. V., Steffensen, I. E. & Suetta, C. (2021). Elektrisk stimulation mod muskel- og funktionstab hos en patient indlagt med COVID-19. Ugeskrift for Læger, 183(20), 1-4. Artikel V03210275. https://ugeskriftet.dk/files/scientific_article_files/2021-05/v03210275_web.pdf
Kragh, M. F. & Karstoft, H. (2021). Embryo selection with artificial intelligence: how to evaluate and compare methods? Journal of Assisted Reproduction and Genetics, 38(7), 1675-1689. https://doi.org/10.1007/s10815-021-02254-6
Vestergaard, R., Zhang, Q. & Lucani Rötter, D. E. (2021). Enabling Random Access in Universal Compressors. I IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2021: Proceedings Artikel 9484460 IEEE. https://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484460
Yazdani, N., Kouvelas, N., Prasad, R. V. & Lucani Rötter, D. E. (2021). Energy Efficient Data Recovery from Corrupted LoRa Frames. I 2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings IEEE. https://doi.org/10.1109/GLOBECOM46510.2021.9685613
Beck, M. M., Boudjadar, J. & Chougui, Y. (2021). Energy Efficient Real-time Calibration of Wireless Sensor Networks for Smart Buildings. 63-77. Afhandling præsenteret på International Symposium on Intelligent and Autonomous Systems, Tallinn, Estland. https://doi.org/10.1007/978-3-030-87657-9_5
Munshi, T. & Klarskov, P. (2021). Enhanced terahertz emission from semiconductor surfaces with gold nanorods. I L. P. Sadwick & T. Yang (red.), Terahertz, RF, Millimeter, and Submillimeter-Wave Technology and Applications XIV SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.2591167
Moradi, F. (2021). En hjernesag. Medicoteknik, 8(3), 3-3. https://ipaper.ipapercms.dk/TechMedia/Medicoteknik/2021/3/?page=2
Strandberg, P. E., Frasheri, M. & Enoiu, E. P. (2021). Ethical AI-Powered Regression Test Selection. I 2021 IEEE International Conference on Artificial Intelligence Testing (AITest) (s. 83-84). IEEE. https://doi.org/10.1109/AITEST52744.2021.00025
Villa-Henriksen, A., Edwards, G. T. C., Green, O. & Sørensen, C. A. G. (2021). Evaluation of grain quality-based simulated selective harvest performed by an autonomous agricultural robot. Agronomy, 11(9), Artikel 1728. https://doi.org/10.3390/agronomy11091728
Fehér, M., Lucani Rötter, D. E., Hansen, M. T. & Vester, F. E. (2021). Exploiting DLMS/COSEM Data Compression To Learn Power Consumption Patterns. I 2021 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2021 (s. 346-351). IEEE. https://doi.org/10.1109/SmartGridComm51999.2021.9632291
Kulik, T., Talasila, P., Greco, P., Veneziano, G., Marguglio, A., Sutton, L. F., Larsen, P. G. & Macedo, H. D. (2021). Extending the Formal Security Analysis of the HUBCAP sandbox. I H. D. Macedo, C. Thule & K. Pierce (red.), Proceedings of the 19th International Overture Workshop (s. 36-50) https://arxiv.org/abs/2110.09371
Macedo, H. D., Sassanelli, C., Larsen, P. G. & Terzi, S. (2021). Facilitating model-based design of cyber-manufacturing systems. Procedia CIRP, 104, 1936-1941. https://doi.org/10.1016/j.procir.2021.11.327
Frasheri, M., Thule, C., Macedo, H. D., Lausdahl, K., Larsen, P. G. & Esterle, L. (2021). Fault Injecting Co-simulations for Safety. 6-13. Afhandling præsenteret på 5th International Conference on System Reliability and Safety, Palermo, Italien. https://doi.org/10.1109/ICSRS53853.2021.9660728
Mohammadnia, A., M. Ziapour, B., Ghaebi, H. & Khooban, M. H. (2021). Feasibility assessment of next-generation drones powering by laser-based wireless power transfer. Optics & Laser Technology, 143, Artikel 107283. https://doi.org/10.1016/j.optlastec.2021.107283
Zamani, M., Ronchini, M., Huynh, H. A., Farkhani, H. & Moradi, F. (2021). Flexible Energy-Efficient Implementation of Adaptive Spiking Encoder for Neuromorphic Processors. I 2021 IEEE International Symposium on Circuits and Systems, ISCAS 2021 - Proceedings Artikel 9401103 IEEE. https://doi.org/10.1109/ISCAS51556.2021.9401103
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
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
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
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
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
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. 4176-4183. Afhandling præsenteret på 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems, Prag, Tjekkiet. https://doi.org/10.1109/IROS51168.2021.9636207
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
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
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
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
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
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
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
Villa-Henriksen, A. (2021). Implementation and applications of harvest fleet route planning. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet. https://doi.org/10.7146/aul.434
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
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
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
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
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
Boudjadar, J. & Beck, M. M. (2021). Intelligent Time Synchronization Protocol for Energy Efficient Sensor Systems. Afhandling præsenteret på Intelligent Systems Conference , Amsterdam, Holland.
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
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
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
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
Nielsen, A. H., Iosifidis, A. & Karstoft, H. (2021). IrradianceNet: Spatiotemporal Deep Learning Model for Satellite-Derived Solar Irradiance Nowcasting. Solar Energy, 228, 659-669. https://doi.org/10.1016/j.solener.2021.09.073
Hosseinzadeh, M., Hudson, N., Zhao, X., Khamfroush, H. & Lucani Rötter, D. E. (2021). Joint Compression and Offloading Decisions for Deep Learning Services in 3-Tier Edge Systems. I 2021 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2021 (s. 254-261). IEEE. https://doi.org/10.1109/DySPAN53946.2021.9677398
Munshi, M. T. & Klarskov, P. (2021). Laser Terahertz Emission Microscopy of Gold Nanorods forming a Coffee-stain Ring on a Semiconductor Surface. I 2021 46th International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz 2021 IEEE. https://doi.org/10.1109/IRMMW-THz50926.2021.9566850
Bozcan, I. (2021). Learning-based Anomaly Detection for Aerial Surveillance. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.
Laakom, F., Chumachenko, K., Raitoharju, J., Iosifidis, A. & Gabbouj, M. (2021). Learning to ignore: rethinking attention in CNNs. I 32rd British Machine Vision Conference https://arxiv.org/pdf/2111.05684.pdf
Esterle, L. & King, D. W. (2021). Loosening Control—A Hybrid Approach to Controlling Heterogeneous Swarms. ACM Transactions on Autonomous and Adaptive Systems, 16(2), Artikel 5. https://doi.org/10.1145/3502725
Balauroiu, M., Ruf, F., Volet, N. & Heck, M. (2021). Low-loss all-optical ns-switching for scalable quantum photonic links. Poster-session præsenteret på Photonic Links for Quantum Technology Platforms.
Spasaro, M. (2021). Low-Power Radio-Frequency Low Noise Amplifiers for Future Wireless Transceivers. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.
Faraji, B., Gheisarnejad, M., Rouhollahi, K., Esfahani, Z. & Khooban, M. H. (2021). Machine Learning Approach based on Ultra-Local Model Control for Treating Cancer Pain. I E E E Sensors Journal, 21(6), 8245-8252. Artikel 9285309. https://doi.org/10.1109/JSEN.2020.3042937
Bording, T. S., Asif, M. R., Barfod, A. S., Larsen, J. J., Zhang, B., Grombacher, D. J., Christiansen, A. V., Engebretsen, K. W., Pedersen, J. B., Maurya, P. K. & Auken, E. (2021). Machine learning based fast forward modelling of ground-based time-domain electromagnetic data. Journal of Applied Geophysics, 187, Artikel 104290. https://doi.org/10.1016/j.jappgeo.2021.104290

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