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Institut for Elektro- og Computerteknologi

Publikationer fra instituttet

Under publikationsliste finder du en samlet liste over de publikationer, som er lavet af medarbejdere ved Institut for Elektro- og Computerteknolog.

Publikationsliste

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Nielsen, A. H. (2022). Data-Driven Weather Forecasting using Deep Learning. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.

Nielsen, L. (2022). Scalable Storage for Massive Volume Data Systems. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.

Nhut, T. D., Bonen, S., Cooke, G., Jager, T., Spasaro, M., Sufra, D., Voinigescu, S. P. & Zito, D. (2022). Cryogenic Compact mm-Wave Broadband SPST Switch in 22nm FDSOI CMOS for Monolithic Quantum Processors. I 2022 IEEE/MTT-S International Microwave Symposium, IMS 2022 (s. 168-171). IEEE. https://doi.org/10.1109/IMS37962.2022.9865577

Nguyen, A. Q., Nguyen, H. T., Tran, V. C., Pham, H. X. & Pestana, J. (2021). A Visual Real-time Fire Detection using Single Shot MultiBox Detector for UAV-based Fire Surveillance. I S. Bahk, P. Tran-Gia, J. Van der Spiegel & N. X. Quynh (red.), 2020 IEEE Eighth International Conference on Communications and Electronics (ICCE) (s. 338-343). IEEE. https://doi.org/10.1109/ICCE48956.2021.9352080

Nguyen, N. D. T. (2024). Detecting attended auditory events using ear-EEG: new approaches and methods for auditory attention decoding. [Ph.d.-afhandling, Aarhus Universitet].

Nguyen, N. D. T., Mikkelsen, K. & Kidmose, P. (2025). Cognitive component of auditory attention to natural speech events. Frontiers in Human Neuroscience, 18, Artikel 1460139. http://10.3389/fnhum.2024.1460139

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

Nazari, H. K., Ghassabi, K., Pahlevani, P. & Lucani Rötter, D. E. (2021). Improving the Decoding Speed of Packet Recovery in Network Coding. IEEE Communications Letters, 25(2), 351-355. Artikel 9226485. https://doi.org/10.1109/LCOMM.2020.3031011

Nazari, M., Korshoej, A. R. & Rehman, N. U. (2024). Multiscale Dynamic Graph Signal Analysis. Social Science Research Network (SSRN). https://doi.org/10.2139/ssrn.4713829

Nazari, M., Korshøj, A. R. & ur Rehman, N. (2024). Multiscale dynamic graph signal analysis. Signal Processing, 222, Artikel 109519. https://doi.org/10.1016/j.sigpro.2024.109519

Nazari, M., Korshøj, A. R. & Rehman, N. U. (2024). Jump Plus AM-FM Mode Decomposition. Cornell University. https://doi.org/10.48550/arXiv.2407.07800

Nazari, M., Korshoej, A. R. & Rehman, N. U. (2024). Graph-Aided Multivariate Signal Decomposition. I International Conference on Frontiers of Signal Processing (ICFSP) (s. 169-173) https://doi.org/10.1109/ICFSP62546.2024.10785500

Nazari, M., Korshj, A. R. & Rehman, N. U. (2025). Jump Plus AM-FM Mode Decomposition. IEEE Transactions on Signal Processing, 73, 1081-1093. https://doi.org/10.1109/TSP.2025.3535822

Nawoya, S., Ssemakula, F., Akol, R., Geissmann, Q., Karstoft, H., Bjerge, K., Mwikirize, C., Katumba, A. & Gebreyesus, G. (2024). Computer vision and deep learning in insects for food and feed production: A review. Computers and Electronics in Agriculture, 216, Artikel 108503. https://doi.org/10.1016/j.compag.2023.108503

Nawoya, S., Geissmann, Q., Karstoft, H., Bjerge, K., Akol, R., Katumba, A., Mwikirize, C. & Gebreyesus, G. (2024). Computer-vision based prediction of body traits and larval sex in black soldier fly. Abstract fra Insects for the Green Economy: Sustainable Food
Systems and Livelihoods in Africa, Nairobi, Kenya. https://qgg.au.dk/fileadmin/site_files/mb/QGG/Billeder/FLYgene/book-of-abstracts-insects-for-the-green-economy-conference-feb2024.pdf

Nawoya, S., Geissmann, Q., Karstoft, H., Bjerge, K., Akol, R., Katumba, A., Mwikirize, C. & Gebreyesus, G. (2025). Prediction of black soldier fly larval sex and morphological traits using computer vision and deep learning. Smart Agricultural Technology, 11, Artikel 100953. https://doi.org/10.1016/j.atech.2025.100953

Naveed, K., Mukhtar, S. & Ur Rehman, N. (2021). Multivariate Signal Denoising Based on Generic Multivariate Detrended Fluctuation Analysis. I 2021 IEEE Statistical Signal Processing Workshop, SSP 2021 (s. 441-445). IEEE. https://doi.org/10.1109/SSP49050.2021.9513823

Naveed, K. & Rehman, N. U. (2021). A Novel Multivariate Goodness-of-Fit Test based on Mahalanobis Distance and Its Application in Denoising. I 29th European Signal Processing Conference, EUSIPCO 2021 - Proceedings (s. 2050-2054). IEEE. https://doi.org/10.23919/eusipco54536.2021.9616193

Naveed, K., Meldgaard Madsen, L., Grombacher, D. & Larsen, J. J. (2023). Variational Mode Decomposition-Based Processing of Time-Domain Induced Polarization Data. Abstract fra NSG2023 29th European Meeting of Environmental and Engineering Geophysics, Edinburgh , Storbritannien. https://doi.org/10.3997/2214-4609.202320133

Naveed, K., Madsen, L. M., Grombacher, D. & Larsen, J. J. (2024). Processing Time-domain Induced Polarization Data Using Variational Mode Decomposition. IEEE Transactions on Geoscience and Remote Sensing, 62, 1-13. Artikel 5905713. https://doi.org/10.1109/TGRS.2024.3362290

Naveed, K. & Rehman, N. U. (2025). Fully multivariate detrended fluctuation analysis using Mahalanobis norm with application to multivariate signal denoising. Measurement: Journal of the International Measurement Confederation, 242(Part E), Artikel 116142. https://doi.org/10.1016/j.measurement.2024.116142

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

Navarro-Guerrero, N., Nguyen, S. M., Oztop, E. & Zhong, J. (2021). Guest Editorial Special Issue on Continual Unsupervised Sensorimotor Learning. IEEE Transactions on Cognitive and Developmental Systems, 13(2), 234-238. https://doi.org/10.1109/TCDS.2021.3082880

Naseri, F., Karimi, S., Farjah, E. & Schaltz, E. (2022). Supercapacitor management system: A comprehensive review of modeling, estimation, balancing, and protection techniques. Renewable & Sustainable Energy Reviews, 155, Artikel 111913. https://doi.org/10.1016/j.rser.2021.111913

Naseri, F., Barbu, C. & Sarikurt, T. (2022). Optimal sizing of hybrid high-energy/high-power battery energy storage systems to improve battery cycle life and charging power in electric vehicle applications. Journal of Energy Storage, 55(Part D), Artikel 105768. https://doi.org/10.1016/j.est.2022.105768

Naseri, F., Karimi, S., Farjah, E. & Setoodeh, P. (2023). Design of a Recommender System with Safe Driving Mode Based on State-of-Function Estimation in Electric Vehicle Drivetrains with Battery/Supercapacitor Hybrid Energy Storage System. Designs, 7(1), Artikel 25. https://doi.org/10.3390/designs7010025

Naseri, F., Gil Arboleda, S., Barbu, C., Cetkin, E., Yarimca, G., Jensen, A. C., Larsen, P. G. & Gomes, C. (2023). Digital twin of electric vehicle battery systems: Comprehensive review of the use cases, requirements, and platforms. Renewable and Sustainable Energy Reviews, 179, Artikel 113280. https://doi.org/10.1016/j.rser.2023.113280

Naseri, F., Kazemi, Z., Larsen, P. G., Arefi, M. M. & Schaltz, E. (2023). Cyber-Physical Cloud Battery Management Systems: Review of Security Aspects. Batteries, 9(7), Artikel 382. https://doi.org/10.3390/batteries9070382

Nascimento Duplat, D., Far Brusatori, M., Degli Eredi, I., Nielsen, L., Tønning, P., Volet, N. & Heck, M. (2021). 10-Hz-intrinsic-linewidth hybridly-integrated semiconductor ring laser using generic foundry platforms. Abstract fra 27th International Semiconductor Laser Conference, Potsdam, Tyskland. https://doi.org/10.1109/ISLC51662.2021.9615645

Narvaez, F., Hosseini, S., Farkhani, H. & Moradi, F. (2021). Analysis and Design of a PMUT-based transducer for Powering Brain Implants. ArXiv.

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

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

Munshi, M. T. & Klarskov, P. (2021). Laser Terahertz Emission Microscopy of Gold Nanorods forming a Coffee-stain Ring on a Semiconductor Surface. I 2021 46th International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz 2021 IEEE. https://doi.org/10.1109/IRMMW-THz50926.2021.9566850

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://globecom2020.ieee-globecom.org/program/symposia-thursday#S1569589216

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) 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

Mousavi, S. A., GhahramanIzadi, Z. & Khooban, M. H. (2024). Empowering talkative power technology in wireless power transfer with machine learning. IET Power Electronics, 17(16), 3083-3092. https://doi.org/10.1049/pel2.12826

Mousaei, A., Gheisarnejad, M. & Khooban, M. H. (2023). Challenges and opportunities of FACTS devices interacting with electric vehicles in distribution networks: A technological review. Journal of Energy Storage, 73, Artikel 108860. https://doi.org/10.1016/j.est.2023.108860

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

Mosayebi, M., Gheisarnejad Chirani, M., Farsizadeh, H. & Khooban, M. H. (2022). Design a Robust Powering 5G Telecommunication System Based-Sliding Mode Control. IEEE Journal of Emerging and Selected Topics in Industrial Electronics, 3(4), 946-953. https://doi.org/10.1109/JESTIE.2021.3111531

Mosayebi, M., Gheisarnejad Chirani, M., Farsizadeh, H., Andresen, B. & Khooban, M. H. (2023). Smart Extreme Fast Portable Charger for Electric Vehicles-Based Artificial Intelligence. IEEE Transactions on Circuits and Systems II: Express Briefs, 70(2), 586-590. https://doi.org/10.1109/TCSII.2022.3176863

Mosayebi, M., Fathollahidehkordi, A., Gheisarnejad Chirani, M., Farsizadeh, H. & Khooban, M. H. (2022). Smart Emergency EV-to-EV Portable Battery Charger. Inventions, 7(2), Artikel 45. https://doi.org/10.3390/inventions7020045

Mosayebi, M., Gheisarnejad Chirani, M. & Khooban, M. H. (2022). An intelligent sliding mode control for stabilization of parallel converters feeding CPLs in DC-microgrid. IET Power Electronics, 15(14), 1596-1606. https://doi.org/10.1049/pel2.12329

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