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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Musaeus, C. S., Waldemar, G., Andersen, B. B., Høgh, P., Kidmose, P., Hemmsen, M. C., Rank, M. L., Kjær, T. W. & Frederiksen, K. S. (2022). Long-Term EEG Monitoring in Patients with Alzheimer's Disease Using Ear-EEG: A Feasibility Study. Journal of Alzheimer's Disease, 90(4), 1713-1723. https://doi.org/10.3233/JAD-220491
Musaeus, C. S., Frederiksen, K. S., Andersen, B. B., Høgh, P., Kidmose, P., Fabricius, M., Hribljan, M. C., Hemmsen, M. C., Rank, M. L., Waldemar, G. & Kjær, T. W. (2023). Detection of subclinical epileptiform discharges in Alzheimer's disease using long-term outpatient EEG monitoring. Neurobiology of Disease, 183, Artikel 106149. https://doi.org/10.1016/j.nbd.2023.106149
Musaeus, C. S., Kjær, T. W., Cacic Hribljan, M., Andersen, B. B., Høgh, P., Kidmose, P., Fabricius, M., Hemmsen, M. C., Rank, M. L., Waldemar, G. & Frederiksen, K. S. (2023). Subclinical Epileptiform Activity in Dementia with Lewy Bodies. Movement Disorders, 38(10), 1861-1870. https://doi.org/10.1002/mds.29531
Musaeus, C. S., Kjaer, T. W., Lindberg, U., Vestergaard, M. B., Bo, H., Larsson, W., Press, D. Z., Andersen, B. B., Høgh, P., Kidmose, P., Hemmsen, M. C., Rank, M. L., Hasselbalch, S. G., Waldemar, G. & Frederiksen, K. S. (2024). Subclinical epileptiform discharges in Alzheimer’s disease are associated with increased hippocampal blood flow. Alzheimer's Research & Therapy, 16(1), Artikel 80. https://doi.org/10.1186/s13195-024-01432-9
Musaeus, C. S., Viana, P. F., Cook, M., Duun-Henriksen, J., Beniczky, S., Kidmose, P., Vanrumste, B., Filtjens, B. & Kjaer, T. W. (2025). Home-Based sensing of the nervous system with clinical neurophysiology technologies: IFCN handbook chapter. Clinical Neurophysiology Practice, 10, 453-463. https://doi.org/10.1016/j.cnp.2025.09.003
Musaeus, C. S., Frederiksen, K. S., Waldemar, G., Kjær, T. W., Vestergaard, M. B., Andersen, B. B., Høgh, P., Hasselbalch, S. G., Kidmose, P., Hemmsen, M. C., Rank, M. L., Larsson, H. B. W. & Lindberg, U. (2026). Epileptiform discharges in neurodegenerative diseases linked to atrophy but not associated with iron depositions. GeroScience. Advance online publication. https://doi.org/10.1007/s11357-026-02323-7
Muntean, I., Frasheri, M. & Munaro, T. (2025). A Case Study on the Application of Digital Twins for Enhancing CPS Operations. Electronic Proceedings in Theoretical Computer Science, EPTCS, 418, 24-31. https://doi.org/10.4204/EPTCS.418.3
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
Mukherjee, M., Kumar, V., Maity, D., Matam, R., Mavromoustakis, C. X., Zhang, Q. & Mastorakis, G. (2020). Delay-sensitive and Priority-aware Task Offloading for Edge Computing-assisted Healthcare Services. Afhandling præsenteret på 2020 IEEE Global Communications Conference, Taipei, Taiwan. https://doi.org/10.1109/GLOBECOM42002.2020.9348064
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
Mukherjee, M., Kumar, V., Kumar, S., Lloret, J., Zhang, Q. & Guo, M. (2021). Reconfigurable Intelligent Surface-assisted Edge Computing to Minimize Delay in Task Offloading. I 2021 IEEE Global Communications Conference (GLOBECOM) (Bind 2021-January). IEEE. https://doi.org/10.1109/GLOBECOM46510.2021.9685374
Mukherjee, M., Kumar, V., Kumar, S., Mavromoustakis, C. X., Zhang, Q. & Guo, M. (2022). RIS-assisted Task Offloading for Wireless Dead Zone to Minimize Delay in Edge Computing. I 2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings (s. 2554-2559). IEEE. https://doi.org/10.1109/GLOBECOM48099.2022.10001478
Mrozowska, M. A., Avery, J., Stoustrup, A., Nuterman, R., Johnsen, C. J., Thormann, A. & Jochum, M. (2025). Bayesian Optimization With GPU Acceleration for Ocean Models. Journal of Geophysical Research: Machine Learning and Computation, 2(3), Artikel e2024JH000517. https://doi.org/10.1029/2024JH000517
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
Mørup, C., Kloborg, A. & Lucani Rötter, D. E. (2022). Extreme Bitmapping: Efficiently Sorting Data for Cloud Compression. I 2022 IEEE 11th International Conference on Cloud Networking (CloudNet) (s. 247-251). IEEE. https://doi.org/10.1109/CloudNet55617.2022.9978780
Mortensen, A. K., Hansen, A. L. & Gislum, R. (2023). Kamera og kunstig intelligens til vurdering af sygdomstryk i sukkerroer. I Faglig beretning 2022: Verksamhetsberättelse (s. 53-56). NBR Nordic Beet Research Foundation. https://www.nordicbeet.nu/wp-content/uploads/2023/02/nbr_aarsberetning_2022.pdf
Morsing, L. H., Heidari, N. & Iosifidis, A. (2022). Human Activity Recognition. I A. Iosifidis & A. Tefas (red.), Deep Learning for Robot Perception and Cognition (s. 341-370). Elsevier. https://doi.org/10.1016/B978-0-32-385787-1.00019-1
Morsing, L. H. (2023). Efficient Online Processing with Deep Neural Networks. [Ph.d.-afhandling, Aarhus Universitet].
Monemi, M., Rasti, M., Ali Mousavi, S., Latva-Aho, M. & Haenggi, M. (2026). Higher-Order Meta Distribution Reliability Analysis of Wireless Networks. IEEE Transactions on Wireless Communications, 25, 9672-9686. https://doi.org/10.1109/TWC.2025.3644807
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
Mohseni, S.-R., Jahanshahi Zeitouni, M., Parvaresh, A., Abrazeh, S., Gheisarnejad Chirani, M. & Khooban, M. H. (2023). FMI real-time co-simulation-based machine deep learning control of HVAC systems in smart buildings: Digital-twins technology. Transactions of the Institute of Measurement and Control, 45(4), 661-673. https://doi.org/10.1177/01423312221119635
Mohammadi Moghadam, H., Mohammadzadeh, A., Hadjiaghaie Vafaie, R., Tavoosi, J. & Khooban, M. H. (2022). A type-2 fuzzy control for active/reactive power control and energy storage management. Transactions of the Institute of Measurement and Control, 44(5), 1014-1028. https://doi.org/10.1177/01423312211048038
Mohammadi, S., Pahlevani, P. & Lucani, D. E. (2021). Perpetual Network Coding for Delay Sensitive Applications. Wireless Personal Communications, 120(2), 923-947. https://doi.org/10.1007/s11277-021-08497-x