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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Angelov, P., Bernardi, M. L., Nardini, F. M., Pecori, R., Valerio, L., Dini, P., Ashraf, S., Aversano, L., Bianchini, M., Brutti, A., Bukovsky, I., Cagnoni, S., Cao, J., Cimitile, M., Dazzi, P., Iammarino, M., Iosifidis, A., Michahelles, F., Mora, A. ... Welsh, M. (2024). PerconAI 2024: 3rd Workshop on Pervasive and Resource-Constrained Artificial Intelligence - Welcome and Committees. I 2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) (s. 34-35). IEEE. https://doi.org/10.1109/PerComWorkshops59983.2024.10503466
Çabuk, U. C., Tosun, M., Jacobsen, R. H. & Dagdeviren, O. (2020). Path Loss Estimation of Air-to-Air Channels for FANETs over Rugged Terrains. I 2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings Artikel 9302160 IEEE. https://doi.org/10.1109/SIU49456.2020.9302160
Ruf, F., Hartwig, T., Zeon, J. W. & Ibik, A. (2022). Passing on the Light: Teaching Optics in Liberia. Poster-session præsenteret på National Optics Congress, Aarhus, Danmark.
Hallerstede, S. (2003). Parallel hardware design in B. I D. Bert, J. P. Bowen, S. King & M. Walden (red.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (s. 101-102). Springer Verlag. https://doi.org/10.1007/3-540-44880-2_8
Kharghanian, R., Peiravi, A., Moradi, F. & Iosifidis, A. (2021). Pain detection using batch normalized discriminant restricted Boltzmann machine layers. Journal of Visual Communication and Image Representation, 76, Artikel 103062. https://doi.org/10.1016/j.jvcir.2021.103062
Craig, M. T., Wohland, J., Stoop, L. P., Kies, A., Pickering, B., Bloomfield, H. C., Browell, J., De Felice, M., Dent, C. J., Deroubaix, A., Frischmuth, F., Gonzalez, P. L. M., Grochowicz, A., Gruber, K., Härtel, P., Kittel, M., Kotzur, L., Labuhn, I., Lundquist, J. K. ... Brayshaw, D. J. (2022). Overcoming the disconnect between energy system and climate modeling. Joule, 6(7), 1405-1417. https://doi.org/10.1016/j.joule.2022.05.010
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
Vathoopan Kannan, M., Talasila, P., Boudjadar, J., Larsen, C., Bicocchi, N., Picone, M. & Melloni, M. (2026). Orchestrating Distributed Simulations for Circular Manufacturing-as-a-Service Ecosystems. I IEEE International Conference on Industrial Technology (ICIT) IEEE. https://doi.org/10.1109/ICIT64854.2026.11491518
Anagnostis, A., Tagarakis, A. C., Kateris, D., Moysiadis, V., Sørensen, C. G., Pearson, S. & Bochtis, D. (2021). Orchard mapping with deep learning semantic segmentation. Sensors, 21(11), Artikel 3813. https://doi.org/10.3390/s21113813
Pham, X. H., Heiß, M., Tran, D., Nguyen, M. A., Nguyen, A. Q. & Kayacan, E. (2023). ORB-Net: End-to-end Planning Using Feature-based Imitation Learning for Autonomous Drone Racing. I ISR Europe 2023: 56th International Symposium on Robotics, in cooperation with Fraunhofer IPA September 26 – 27, 2023 in Stuttgart (s. 16-21). VDE Verlag GmbH. https://ieeexplore.ieee.org/document/10363048
Németh, J. A., Far Brusatori, M. & Volet, N. (2022). Optimizing the self-homodyne coherent receiver method for frequency-noise measurements. I L. E. Busse, Y. Soskind & P. C. Mock (red.), Photonic Instrumentation Engineering IX Artikel 120080J SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.2609508
Bakhtiarnia, A. (2024). Optimizing Deep Learning Inference for Edge Intelligence. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.
Khezri, R., Mahmoudi, A., Khooban, M. H. & Ertugrul, N. (2021). Optimal Sizing of Grid-tied Residential Microgrids Under Real-Time Pricing. I 2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings (s. 771-776). IEEE. https://doi.org/10.1109/ECCE47101.2021.9595828
Mukherjee, M., Kumar, V., Zhang, Q., Mavromoustakis, C. X. & Matam, R. (2022). Optimal Pricing for Offloaded Hard- and Soft-Deadline Tasks in Edge Computing. IEEE Transactions on Intelligent Transportation Systems, 23(7), 9829-9839. https://doi.org/10.1109/TITS.2021.3117973
Li, C., Kies, A., Zhou, K., Schlott, M., Sayed, O. E., Bilousova, M. & Stöcker, H. (2024). Optimal Power Flow in a highly renewable power system based on attention neural networks. Applied Energy, 359, Artikel 122779. https://doi.org/10.1016/j.apenergy.2024.122779
Gheisarnejad, M., Fathollahi, A., Sharifzadeh, M., Laurendeau, E., Andresen, B. & Al-Haddad, K. (2025). Optimal Policy Gradient Based Type-2 Fuzzy Control for Multi-DC Terminal PEC Converter in 5G-Based Commercial Buildings. IEEE Journal of Emerging and Selected Topics in Power Electronics, 13(4), 5149-5161. https://doi.org/10.1109/JESTPE.2025.3573043
Banaei, M., Boudjadar, J. & Khooban, M. H. (2021). Optimal Energy Resources Scheduling of Hybrid Diesel/Battery Ships in Shallow Waters. I H. Selvaraj, G. Chmaj & D. Zydek (red.), Proceedings of the 27th International Conference on Systems Engineering, ICSEng 2020 (s. 369-378). Springer. https://doi.org/10.1007/978-3-030-65796-3_36
Hasanvand, S., Sobhani, H., Mardaneh, M. & Khooban, M. H. (2025). Optimal Design of Battery Energy Storage System Controllers for Damping Low-Frequency Oscillations. International Journal of Energy Research, 2025(1), Artikel 2248945. https://doi.org/10.1155/er/2248945
Banaei, M., Boudjadar, J., Ebrahimy, R. & Madsen, H. (2021). Optimal Control Strategies of Fuel cell/Battery Based Zero-Emission Ships: A Survey. I IECON 2021 - 47th Annual Conference of the IEEE Industrial Electronics Society IEEE. https://doi.org/10.1109/IECON48115.2021.9589512
Hosseinzadeh, M., Wachal, A., Khamfroush, H. & Lucani Rötter, D. E. (2021). Optimal Accuracy-Time Trade-off For Deep Learning Services in Edge Computing Systems. I ICC 2021 - IEEE International Conference on Communications, Proceedings IEEE. https://doi.org/10.1109/ICC42927.2021.9500744
Helmstedt, C., Manouselis , N. M., Martín-Moncunill, D., Protonotarios, V., Sicilia, M.-A., M. Stracke, C., Adamides, G., Aventurier, P., Belsis, P., Beyer, J., Biniari, K., Bouza, D., Ciotoli, F., Engel-Vermette, S., Nicola Ghirad, N. G., Koutoumanos, A., Jensen, A. L., Le Henaff, D., Masselin-Silvin , S. ... Tsiflidou, E. (2020). Opening Up Access to Scientific Information: Recommendations for Improving Virtual Repositories and Online Communities. University Publisher. https://hal.inrae.fr/hal-02806629/document
Vathoopan, M., Boudjadar, J., Hertwig, M. M. & Lentes, J. (2025). Ontology-Driven Simulations for Quantified Service Discovery in Manufacturing Ecosystems. I D. Maga (red.), 2025 29th International Symposium on Distributed Simulation and Real Time Applications (DS-RT) IEEE. https://doi.org/10.1109/DS-RT68115.2025.11186005
Vathoopan Kannan, M., Boudjadar, J. & Ramanujan, D. (Accepteret/In press). Ontologies for architecting circular and sustainable manufacturing-as-a-service systems. Afhandling præsenteret på 12th International Conference on Industrial Engineering and Applications.
McLachlan, P. J., Khare, S. K., Grombacher, D., Larsen, J. J., A. Christiensen, A. & Luria, J. C. Z. (2022). On The Presence of Correlated Noise in Transient Electromagnetic (Tem) Monitoring Data. 1-5. Abstract fra NSG2022 28th European Meeting of Environmental and Engineering Geophysics, Belgrade , Serbien. https://doi.org/10.3997/2214-4609.202220119
McLachlan, P. J., Khare, S. K., Grombacher, D., Larsen, J. J., Christensen, A. & Zamora Luria, J. C. (2022). On The Presence of Correlated Noise in Transient Electromagnetic (Tem) Monitoring Data. I NSG2022 28th European Meeting of Environmental and Engineering Geophysics (s. 1-5). European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.202220119
Fathollahi, A., Gheisarnejad, M., Sharifzadeh, M., Laurendeau, E., Andresen, B. & Al-Haddad, K. (2026). On-Policy Machine Learning Based-Disturbance Rejection Control for Grid-Tied PEC9 Inverter Under Parameters Mismatch and Distorted Grid Voltage. IEEE Transactions on Emerging Topics in Computational Intelligence, 10(1), 1025-1037. https://doi.org/10.1109/TETCI.2025.3619574
Laakom, F., Raitoharju, J., Iosifidis, A. & Gabbouj, M. (2021). On Feature Diversity in Energy-based models. Afhandling præsenteret på International Conference on Learning Representations Workshop on Energy-Based Models, , Vienna. https://openreview.net/pdf?id=ks3Q08yy66r