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

Sortér efter: Dato | Forfatter | Titel

Wewer, C. R., Mahapatra, H., Esterle, L. & Larsen, P. G. (2024). Using FactoryML for Deployment of Machine Learning Models in Industrial Production. I T. Facchinetti, A. Cenedese, L. L. Bello, S. Vitturi, T. Sauter & F. Tramarin (red.), 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation, ETFA 2024 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ETFA61755.2024.10710938
Moltke, A., R Smith, C., I Miakota, D., Jektvik, C. D., Davidsen, R. S., Canulescu, S. & Bang, O. (2024). UV source for solar cell processing and scatterometry. I Frontiers in Ultrafast Optics: : Biomedical, Scientific, and Industrial Applications XXIV SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.3002225
Naveed, K. & Larsen, J. J. (2024). Variational Mode Decomposition Based Processing of Surface NMR Data. I NSG2024, 30th European Meeting of Environmental and Engineering Geophysics European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.202420100
Naveed, K. & Ur Rehman, N. (2024). Variational Mode Decomposition Denoising Using Anderson-Darling Statistics. I 2024 9th International Conference on Frontiers of Signal Processing, ICFSP 2024 (s. 189-193). IEEE. https://doi.org/10.1109/ICFSP62546.2024.10785266
H. Bohlbro, C., Macedo, H. D., Tola, D., Esterle, L. & Larsen, P. G. (2024). Visualisation in a Digital Twin Context. I J. Fitzgerald, C. Gomes & P. G. Larsen (red.), The Engineering of Digital Twins (s. 175-188). Springer. https://doi.org/10.1007/978-3-031-66719-0_8
Staugaard, J., Bennedsen, J., Seidl, C., Nicolajsen, S., Fink, M. & Brabrand, C. (2024). Visualizing the Conceptual Framework of Object Orientation for Novice Programmers. I 2024 IEEE Frontiers in Education Conference, FIE 2024 - Proceedings IEEE. https://doi.org/10.1109/FIE61694.2024.10893141
Das, K. K., Soni, S., Moradi, F., Shreya, S. & Kaushik, B. K. (2024). Vortex Spin Torque Nano Oscillator-based PUF and TRNG Design for Lightweight Security Solutions. I 2024 8th IEEE Electron Devices Technology & Manufacturing Conference (EDTM) IEEE. https://doi.org/10.1109/EDTM58488.2024.10511353
Oleksiienko, I., Nousi, P., Passalis, N., Tefas, A. & Iosifidis, A. (2024). Vpit: real-time embedded single object 3D tracking using voxel pseudo images. Neural Computing and Applications, 36(32), 20341-20354. https://doi.org/10.1007/s00521-024-10259-2
Oshnoei, S., Aghamohammadi, M. R., Heidary, J. & Khooban, M. H. (2024). Watermarking-Based Defense Mechanism in LFC of Electricity Grids Compromised by Covert Attacks. IEEE Transactions on Circuits and Systems II: Express Briefs, 71(10), 4576-4580. https://doi.org/10.1109/TCSII.2024.3396734
Spasaro, M. & Zito, D. (2023). 0.52-mW 30-GHz LNA in 22-nm FDSOI CMOS. IEEE Transactions on Circuits and Systems II: Express Briefs, 70(10), 3752-3756. https://doi.org/10.1109/TCSII.2023.3288354
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
Hansen, S. T. (2023). Accurate Co-simulation of Cyber-Physical Systems. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.
Doan Nhut, T. & Zito, D. (2023). A Compact DC-110GHz SPST Switch in 22nm FDSOI CMOS. IEEE Transactions on Circuits and Systems II: Express Briefs, 70(10), 3812-3816. https://doi.org/10.1109/TCSII.2023.3291081
Gheisarnejad Chirani, M., Mirzavand, G., Rouhi Ardeshiri, R., Andresen, B. & Khooban, M. H. (2023). Adaptive Speed Control of Electric Vehicles Based on Multi-Agent Fuzzy Q-Learning. IEEE Transactions on Emerging Topics in Computational Intelligence, 7(1), 102-110. https://doi.org/10.1109/TETCI.2022.3181159
Asif, M. R., Maurya, P. K., Foged, N. & Christiansen, A. V. (2023). A DATA DRIVEN APPROACH FOR ROBUST INVERSION OF INDUCED POLARIZATION EFFECTS IN TRANSIENT ELECTROMAGNETIC DATA. I APPLICATION OF GEOPHYSICS TO ENGINEERING AND ENVIRONMENTAL PROBLEMS: SYMPOSIUM. 35TH 2023. (SAGEEP 2023) (s. 82-82). Curran Associates.
Jensen, M., Toft Jacobsen, J., Sharifirad, I. & Boudjadar, J. (2023). Advanced Acceleration and Implementation of Convolutional Neural Networks on FPGAs. I J. Chen & L. T. Yang (red.), 2023 IEEE International Conference on High Performance Computing & Communications, Data Science & Systems, Smart City & Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys): Proceedings (s. 558-565). IEEE. https://doi.org/10.1109/HPCC-DSS-SmartCity-DependSys60770.2023.00082
Paredis, R., Gomes, C. & Vangheluwe, H. (2023). A Family of Digital T Workflows and Architectures: Exploring Two Cases. I A. Smirnov, H. Panetto & K. Madani (red.), Innovative Intelligent Industrial Production and Logistics: First International Conference, IN4PL 2020, Virtual Event, November 2-4, 2020, and Second International Conference, IN4PL 2021, Virtual Event, October 25-27, 2021, Revised Selected Papers (s. 93-109). Springer. https://doi.org/10.1007/978-3-031-37228-5_6
Kaiser, M., Kristensen, J. K. & Thomsen, P. T. (2023). Afklaring af tekniske data og dyrevelfærdsaspekter i forbindelse med aflivning af grise med CO2 i beredskabssituationer. DCA - Nationalt Center for Fødevarer og Jordbrug. Rådgivningsrapport fra DCA - Nationalt Center for Fødevarer og Jordbrug
Lehmann, A., Trolle, D. & Nielsen, A. (2023). A global webservice to generate SWAT+ hourly and daily input climate files from ERA5 reanalysis data. Abstract fra 2023 Denmark SWAT Conference, Aarhus, Danmark.
Boudjadar, J. & Schultz, C. P. L. (2023). A Knowledge-Based Proactive Intelligent System for Buildings Occupancy Monitoring. 680-687. Afhandling præsenteret på 19th International Conference on Software Technologies, Rome, Italien.
Anandakumar, M., Pradeepkumar, J., Kappel, S. L., Edussooriya, C. U. S. & De Silva, A. C. (2023). A Knowledge Distillation Framework for Enhancing Ear-EEG Based Sleep Staging with Scalp-EEG Data. I 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (s. 514-519). IEEE. https://doi.org/10.1109/SMC53992.2023.10394011
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
Waheed, H., Akram, W., Islam, S. U., Hadi, A., Boudjadar, J. & Zafar, N. (2023). A Mobile-Based System for Detecting Ginger Leaf Disorders Using Deep Learning. Future Internet, 15(3), Artikel 86. https://doi.org/10.3390/fi15030086
Gil Arboleda, S., Mikkelsen, P. H., Tola, D., Schou, C. & Larsen, P. G. (2023). A Modeling Approach for Composed Digital Twins in Cooperative Systems. I 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation, ETFA 2023 (s. 1-8). IEEE. https://doi.org/10.1109/ETFA54631.2023.10275601
Lehner, D., Gil Arboleda, S., Mikkelsen, P. H., Larsen, P. G. & Wimmer, M. (2023). An Architectural Extension for Digital Twin Platforms to Leverage Behavioral ModelsBehaviors. I 2023 IEEE 19th International Conference on Automation Science and Engineering, CASE 2023 (s. 1-8). IEEE. https://doi.org/10.1109/CASE56687.2023.10260417
Wang, Z., Gao, R., Wang, P. & Chen, H. (2023). A new perspective on air quality index time series forecasting: A ternary interval decomposition ensemble learning paradigm. Technological Forecasting and Social Change, 191, Artikel 122504. https://doi.org/10.1016/j.techfore.2023.122504
Laursen, K., Zamani, M., Rezaeiyan, Y., Hosseini, S., Mondal, T., Corbett, B., Ouagazzal, A. M., Amalric, M. & Moradi, F. (2023). An Ultrasonically-Powered System for 1.06mm3 Implantable Optogenetics and Drug Delivery Dust. IEEE Transactions on Circuits and Systems II: Express Briefs, 70(10), 3937-3941. https://doi.org/10.1109/TCSII.2023.3289028
Jensen, R. I. T., Ferwerda, J., Jørgensen, K. S., Jensen, E. R., Borg, M., Krogh, M. P., Jensen, J. B. & Iosifidis, A. (2023). A synthetic data set to benchmark anti-money laundering methods. Scientific Data, 10(1), Artikel 661. https://doi.org/10.1038/s41597-023-02569-2