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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Thomsen, A. K., Rasmussen, B. S., Frasheri, M., Gil Arboleda, S. & Larsen, P. G. (2025). Towards Digital Twin Aided Autonomy for a UR3e Robotic Manipulator. I A. Cavalcanti, S. Foster & R. Richardson (red.), Towards Autonomous Robotic Systems (s. 295-309). Springer. https://doi.org/10.1007/978-3-032-01486-3_24
Frasheri, M., Talasila, P. & Scherma, V. (2025). Towards Federated Digital Twin Platforms. Electronic Proceedings in Theoretical Computer Science, EPTCS, 418, 32-38. https://doi.org/10.4204/EPTCS.418.4
Boccardi, R., Brendstrup Møller, C., Mizushima, I., Tang, T., Davidsen, R. S., Behrensdorff Poulsen, P., dos Reis Benatto, G. A. & Thorsteinsson, S. (2025). Towards simultaneous double-side Ni/Cu plated contacts on wet etch opened TOPCon solar cells. I 2025 IEEE 53rd Photovoltaic Specialists Conference, PVSC 2025 (s. 734-737) https://doi.org/10.1109/PVSC59419.2025.11133113
Tang, F., An, X., Yang, H., Xie, Y., Yang, K., Hu, M., Cheng, Z., Zhou, X., Ran, Z., Razzak, I., Feng, Z., Bozorgtabar, B., Deng, J. & Ge, Z. (2025). Unifying Image and Video Understanding in One Vision Encoder. Afhandling præsenteret på The Thirty-ninth Annual Conference on Neural Information Processing Systems, San Diego, California, USA.
Zhou, P. Y., Finley, B., Lee, L. H., Hadi Mogavi, R. & Hui, P. (2025). User-Centered Trustworthy AI Metrics in the Metaverse. I X. Fang (red.), HCI in Games : 7th International Conference, HCI-Games 2025, Held as Part of the 27th HCI International Conference, HCII 2025, Proceedings (s. 105-120). Springer. https://doi.org/10.1007/978-3-031-92578-8_8
Haiyang, Y., Ruige, G., Zhongda, Z., Yuzhang, Z., Xiaobo, Z., Tao, L. & Haiyan, W. (2025). U-TransCNN: A U-shape transformer-CNN fusion model for underwater image enhancement. Displays, 88, Artikel 103047. https://doi.org/10.1016/j.displa.2025.103047
Sharma, B., Bhutia, P. R., Raj, R. K., Chettri, B., Kaushik, B. K. & Shreya, S. (2025). VCMA Gradient-Driven Skyrmion on a Trapezoidal Nanotrack for Racetrack Memory Application. IEEE Open Journal of Nanotechnology, 6, 44-50. https://doi.org/10.1109/OJNANO.2025.3550173
Li, J., Li, Z., Liu, Z., Zhou, P. Y., Hong, R., Li, Q. & Hu, H. (2025). Viewport Prediction for Volumetric Video Streaming by Exploring Video Saliency and User Trajectory Information. IEEE Transactions on Circuits and Systems for Video Technology, 35(12), 12816-12829. https://doi.org/10.1109/TCSVT.2025.3577724
Li, J., Zhao, Z., Li, Q., Li, Z., Zhou, P., Liu, Z., Zhou, H. & Li, Z. (2025). VPFormer: Leveraging Transformer with Voxel Integration for Viewport Prediction in Volumetric Video. ACM Transactions on Multimedia Computing, Communications and Applications, 21(6), Artikel 158. https://doi.org/10.1145/3730402
Lee, L. H., Zhou, P. Y., Zhang, C. & Hosio, S. (2025). What if we have Metaverse GPT? Content singularity and human-Metaverse interaction in the AIGC era. I Human-Centered Metaverse: Concepts, Methods, and Applications (s. 13-28). Elsevier. https://doi.org/10.1016/B978-0-443-21996-2.00015-2
Zheng, X., Zhou, P. Y., Vasilakos, A. V. & Wang, L. (2024). 360SFUDA++: Towards Source-free UDA for Panoramic Segmentation by Learning Reliable Category Prototypes. IEEE Transactions on Pattern Analysis and Machine Intelligence, 47(2), 1190-1204. https://doi.org/10.1109/TPAMI.2024.3490619
Zhou, P. Y., Fu, S., Finley, B., Li, X., Tarkoma, S., Kangasharju, J., Ammar, M. & Hui, P. (2024). 5G MEC Computation Handoff for Mobile Augmented Reality. I Proceedings - 2024 IEEE International Conference on Metaverse Computing, Networking, and Applications, MetaCom 2024 (s. 129-136). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MetaCom62920.2024.00032
Koolivand, Y., Rezaeiyan, Y., Zamani, M., Akbari, M., Shoaei, O., Tang, K. T. & Moradi, F. (2024). A 69MHz-Bandwidth 40V/μ s-Slew-Rate 3n V/√Hz-Noise 4.5 μ V-Offset Chopper Operational Amplifier. IEEE Transactions on Circuits and Systems I: Regular Papers, 71(7), 2977-2988. https://doi.org/10.1109/TCSI.2024.3374428
Tang, W., Cao, Y., Ying, J., Wang, B., Zhao, Y., Liao, Y. & Zhou, P. (2024). A + B: A General Generator-Reader Framework for Optimizing LLMs to Unleash Synergy Potential. I L.-W. Ku, A. Martins & V. Srikumar (red.), The 62nd Annual Meeting of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics, ACL 2024 (s. 3670-3685). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2024.findings-acl.219
Shen, K., Zhao, Z., Chen, Y., Zhang, Z. & Cheng, H. V. (2024). Accelerating Quadratic Transform and WMMSE. IEEE Journal on Selected Areas in Communications, 42(11), 3110-3124. https://doi.org/10.1109/JSAC.2024.3431523
Bakhtiarnia, A., Zhang, Q. & Iosifidis, A. (2024). ACCURATE GIGAPIXEL CROWD COUNTING BY ITERATIVE ZOOMING AND REFINEMENT. I ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (s. 6510-6514). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP48485.2024.10446065
Sharifirad, I. & Boudjadar, J. (2024). A Computationally-efficient Semi-supervised Learning Model for the Estimation of State Degradation of a Milling Tool. I 2024 IEEE 22nd World Symposium on Applied Machine Intelligence and Informatics, SAMI 2024 - Proceedings (s. 187-192). IEEE. https://doi.org/10.1109/SAMI60510.2024.10432881
Marinoudi, V., Benos, L., Camacho Villa, C., Lampridi, M., Kateris, D., Berruto, R., Pearson, S., Sørensen, C. G. & Bochtis, D. (2024). Adapting to the Agricultural Labor Market Shaped by Robotization. Sustainability, 16(16), Artikel 7061. https://doi.org/10.3390/su16167061
Frasheri, M., Böttjer, T., Larsen, P. G., Esterle, L. & Gomes, C. (2024). Advanced Digital Twin Services. I J. Fitzgerald, C. Gomes & P. G. Larsen (red.), The Engineering of Digital Twins (s. 209-222). Springer. https://doi.org/10.1007/978-3-031-66719-0_10
Rafiei Foroushani, M. (2024). Advancing Computer Vision in Irregular Texture Product Analysis. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus University.
Boudjadar, J. & Islam, S. U. (2024). AgriScanNet-18: A Robust Multilayer CNN for Identification of Potato Plant Diseases. 291-308. Afhandling præsenteret på Intelligent Systems Conference, Amsterdam, Holland. https://doi.org/10.1007/978-3-031-47724-9_20
Cruz Salazar, L. A., Gil Arboleda, S., Rueda Carvajal, G. D., Sánchez-Zuluaga, G. J. & D. Zapata-Madrigal, G. (2024). AI in assessing Industry 4.0 adoption in Colombia: a case study approach. IFAC-PapersOnLine, 58(8), 162-167. https://doi.org/10.1016/j.ifacol.2024.08.067
Rong, L., Kristensen, J. K., Jung, S., Zhang, G., Kobek-Kjeldager, C., Thodberg, K., Foldager, L. & Herskin, M. S. (2024). Air temperature measured by embedded sensors adopted by pig transporting vehicles in a scaled compartment model. I Book of Abstracts of the 75th Annual Meeting of the European Federation of Animal Science (s. 783-783). Artikel Session 70, Poster 13 Wageningen Academic Publishers.
Lee, L. H., Braud, T., Zhou, P. Y., Wang, L., Xu, D., Lin, Z., Kumar, A., Bermejo, C. & Hui, P. (2024). All One Needs to Know about Metaverse: A Complete Survey on Technological Singularity, Virtual Ecosystem, and Research Agenda. Foundations and Trends in Human-Computer Interaction, 18(2-3), 100-337. https://doi.org/10.1561/1100000095
Hallerstede, S. & Hatcliff, J. (2024). A Mechanized Semantics for Component-Based Systems in the HAMR AADL Runtime. I J. Cámara & S.-S. Jongmans (red.), Formal Aspects of Component Software: 19th International Conference, FACS 2023, Virtual Event, October 19-20, 2023, Revised Selected Papers (1 udg., s. 45-64). Springer. https://doi.org/10.1007/978-3-031-52183-6_3
Mahto, K. K., Mahato, B., Chandan, B., Das, D., Das, P., Kumari, S., Vita, V., Pavlatos, C. & Fotis, G. (2024). A Modified Criss-Cross-Based T-Type MLI with Reduced Power Components. Technologies, 12(6), Artikel 90. https://doi.org/10.3390/technologies12060090
Hurst, A. (2024). Analytics Directly on Compressed IoT Data. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus University.