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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Hansen, S. T., Gomes, C. & Kazemi, Z. (2023). Synthesizing Orchestration Algorithms for FMI 3.0. I M. J. Blas & G. Alvarez (red.), 2023 Annual Modeling and Simulation Conference (ANNSIM) (s. 184-195). IEEE. https://ieeexplore.ieee.org/document/10155361
Leitenstorfer, A., Moskalenko, A. S., Kampfrath, T., Kono, J., Castro-Camus, E., Peng, K., Qureshi, N., Turchinovich, D., Tanaka, K., Markelz, A. G., Havenith, M., Hough, C., Joyce, H. J., Padilla, W. J., Zhou, B., Kim, K. Y., Zhang, X. C., Jepsen, P. U., Dhillon, S. ... Cunningham, J. (2023). The 2023 terahertz science and technology roadmap. Journal of Physics D: Applied Physics, 56(22), Artikel 223001. https://doi.org/10.1088/1361-6463/acbe4c
Legaard, C. M. (2023). The Next Paradigm for Modeling and Simulation? Integrating Machine Learning Methods in FMI-based Co-Simulation. [Ph.d.-afhandling, Aarhus Universitet]. Section of Electrical and Computer Engineering, Department of Engineering, Aarhus University, DK.
Li, R., Shreya, S., Ricci, S., Bridarolli, D., Ielmini, D., Farkhani, H. & Moradi, F. (2023). Thermal-Induced Multi-State Memristors for Neuromorphic Engineering. I IEEE International Symposium on Circuits and Systems (ISCAS): Proceedings IEEE. https://doi.org/10.1109/ISCAS46773.2023.10182122
Zayed, Y. N. H. (2023). Towards a Human-Centered Framework for the Assessment of Subjective Social Values in Buildings. I J. Vanthienen, T. Kliegr, P. Fodor, D. Lanti, D. Arndt, E. V. Kostylev, T. Mitsikas & A. Soylu (red.), RuleML+RR-Companion 2023: RuleML+RR Challenge and Doctoral Consortium 2023 (Bind 3485). CEUR-WS.org. https://ceur-ws.org/Vol-3485/paper6908.pdf
Kakavandi, F., Gomes, C., de Reus, R., Badstue, J., Jensen, J. L., Larsen, P. G. & Iosifidis, A. (2023). Towards Developing a Digital Twin for a Manufacturing Pilot Line: An Industrial Case Study. I E. Karaarslan, Ö. Aydin, Ü. Cali & M. Challenger (red.), Digital Twin Driven Intelligent Systems and Emerging Metaverse (s. 39-64). Springer. https://doi.org/10.1007/978-981-99-0252-1_2
Sergeeva, A. (2023). Towards Ear-EEG Based Hearing Assessment Using Natural Sounds. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.
Bennedsen, J. & Øien, G. (2023). TRANSNATIONAL COLLABORATION ON LIFELONG LEARNING BETWEEN HIGHER ENGINEERING EDUCATION INSTITUTIONS: A UNIVERSITY PERSPECTIVE. I G. Reilly, M. Murphy, B. V. Nagy & H.-M. Jarvinen (red.), SEFI 2023 - 51st Annual Conference of the European Society for Engineering Education: Engineering Education for Sustainability, Proceedings (s. 173-182). European Society for Engineering Education (SEFI). https://doi.org/10.21427/2F51-E932
Oleksiienko, I. (2023). Uncertainty Estimation for 3D Object Detection and Tracking. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.
Lillelund, C. M., Magris, M. & Pedersen, C. F. (2023). Uncertainty Estimation in Deep Bayesian Survival Models. I BHI 2023 - IEEE-EMBS International Conference on Biomedical and Health Informatics, Proceedings IEEE. https://doi.org/10.1109/BHI58575.2023.10313466
Tola, D. & Corke, P. (2023). Understanding URDF: A Survey Based on User Experience. I Y. Jingang (red.), 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE) IEEE. https://doi.org/10.1109/CASE56687.2023.10260660
Tøttrup, M. F., Hu, E. C., Kramer, B. A., Macedo, H. D. & Esterle, L. (2023). Using INTO-CPS Tools in the Development of a Digital Twin for the F1TENTH Race Car. I P. Masci, C. Bernardeschi, P. Graziani, M. Koddenbrock & M. Palmieri (red.), Software Engineering and Formal Methods. SEFM 2022 Collocated Workshops: International Conference on Software Engineering and Formal Methods (s. 200-209). Springer. https://doi.org/10.1007/978-3-031-26236-4_18
Dobbs, A. M., Ginn, D., Skovsen, S. K., Yadav, R., Jha, P., Bagavathiannan, M. V., Mirsky, S. B., Reberg-Horton, C. S. & Leon, R. G. (2023). Using structure-from-motion to estimate cover crop biomass and characterize canopy structure. Field Crops Research, 302, Artikel 109099. https://doi.org/10.1016/j.fcr.2023.109099
Magris, M. & Iosifidis, A. (2023). Variational Inference for GARCH-family Models. I ICAIF 2023 - 4th ACM International Conference on AI in Finance (s. 541-548). Association for Computing Machinery. https://doi.org/10.1145/3604237.3626863
Oleksiienko, I., Nousi, P., Passalis, N., Tefas, A. & Iosifidis, A. (2023). Variational Voxel Pseudo Image Tracking. I 2023 IEEE Symposium Series on Computational Intelligence (SSCI) (s. 323-328). IEEE. https://doi.org/10.1109/SSCI52147.2023.10371810
Abrazeh, S., Mohseni, S.-R., Jahanshahi Zeitouni, M., Parvaresh, A., Fathollahi, A., Gheisarnejad Chirani, M. & Khooban, M. H. (2023). Virtual Hardware-in-the-Loop FMU Co-Simulation Based Digital Twins for Heating, Ventilation, and Air-Conditioning (HVAC) Systems. IEEE Transactions on Emerging Topics in Computational Intelligence, 7(1), 65-75. https://doi.org/10.1109/TETCI.2022.3168507
Böhnert, T., Rezaeiyan, Y., Claro, M. S., Benetti, L., Jenkins, A. S., Farkhani, H., Moradi, F. & Ferreira, R. (2023). Weighted spin torque nano-oscillator system for neuromorphic computing. Nature Communication Engineering, 2(1), Artikel 65. https://doi.org/10.1038/s44172-023-00117-9
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. https://doi.org/10.1080/07373937.2023.2205799
Laakom, F., Raitoharju, J., Iosifidis, A. & Gabbouj, M. (2023). WLD-Reg: A Data-Dependent Within-Layer Diversity Regularizer. I B. Williams, Y. Chen & J. Neville (red.), AAAI-23 Technical Tracks 7 (s. 8421-8429). Artikel 190493 AAAI Press. https://doi.org/10.1609/aaai.v37i7.26015
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
Malik, J., Kiranyaz, S., Al-Raoush, R. I., Monga, O., Garnier, P., Foufou, S., Bouras, A., Iosifidis, A., Gabbouj, M. & Baveye, P. C. (2022). 3D Quantum Cuts for Automatic Segmentation of Porous Media in Tomography Images. Computers & Geosciences, 159, Artikel 105017. https://doi.org/10.1016/j.cageo.2021.105017
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
Jensen, F., Hassan, A. & Bazzi, A. (2022). A Comparison Between Nonlinear Kalman Filters for Sensorless Induction Motor Drives. Afhandling præsenteret på IEEE Energy Conversion Congress and Expo (ECCE 2022), Detroit, Michigan, USA. https://doi.org/10.1109/ECCE50734.2022.9947433
Boudjadar, J. (2022). A Digital Twin Setup for Safety-aware Optimization of a Cyber-Physical System. 161-168. Afhandling præsenteret på International Conference on Informatics in Control, Automation and Robotics, Lisbon, Portugal. https://doi.org/10.5220/0011272100003271
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
Boudjadar, J. (2022). A Flexible Implementation Model for Neural Networks on FPGAs. Afhandling præsenteret på International Conference on Intelligent Systems Design and Applications.