Publikationer fra instituttet

Under publikationsliste finder du en samlet liste over de publikationer, som er lavet af medarbejdere ved Institut for Elektro- og Computerteknologi for eksempel tidsskriftsartikler, bøger, rapporter m.v.

Instituttet udgiver også tekniske rapporter, som du kan læse mere om under Tekniske rapporter.

Under ph.d.-afhandlinger finder du instituttets publicerede ph.d.-afhandlinger.

Publikationsliste

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Mortensen, A. K., Hansen, A. L. & Gislum, R. (2023). Kamera og kunstig intelligens til vurdering af sygdomstryk i sukkerroer. I NBR Faglig beretning 2022 (s. 53-56) 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

Moradi, F. (2021). En hjernesag. Medicoteknik, 8(3), 3-3. https://ipaper.ipapercms.dk/TechMedia/Medicoteknik/2021/3/?page=2

Moradi, F. & Ronchini, M. (2021). Dansk center vil revolutionere forbindelsen mellem hjerne og computer. Medicoteknik, 8(3), 6-8. https://ipaper.ipapercms.dk/TechMedia/Medicoteknik/2021/3/?page=6

Moradi, F. & Zamani, M. (2021). Fremtiden for implanterbare mikroenheder i hjernen. Medicoteknik, 3(8), 10-11. https://ipaper.ipapercms.dk/TechMedia/Medicoteknik/2021/3/?page=10

Monisha, M. & Agarwala, S. (2022). Biodegradable materials: Foundation of transient and sustainable electronics. Materials Science in Additive Manufacturing, 1(3), artikel 15. https://doi.org/10.18063/msam.v1i3.15

Mokarram, M., Pham, T. M. & Khooban, M. H. (2022). A hybrid GIS-MCDM approach for multi-level risk assessment and corresponding effective criteria in optimal solar power plant. Environmental Science and Pollution Research, 29(56), 84661-84674. adv. onlinepublikation. https://doi.org/10.1007/s11356-022-21734-5

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. adv. onlinepublikation. https://doi.org/10.1177/01423312221119635

Mohammadzadeh Shahir, F., Gheisarnejad Chirani, M., S. Sadabadi , M. & Khooban, M. H. (2021). A New Off-Board Electrical Vehicle Battery Charger: Topology, Analysis and Design. Designs, 5(3), artikel 51. https://doi.org/10.3390/designs5030051

Mohammadzadeh Shahir, F., Gheisarnejad Chirani, M. & Khooban, M. H. (2021). A New Transformer-Less Structure for a Boost DC-DC Converter with Suitable Voltage Stress. Automation , 2(4), 220-237. https://doi.org/10.3390/automation2040014

Mohammadnia, A., M. Ziapour, B., Ghaebi, H. & Khooban, M. H. (2021). Feasibility assessment of next-generation drones powering by laser-based wireless power transfer. Optics & Laser Technology, 143, artikel 107283. https://doi.org/10.1016/j.optlastec.2021.107283

Mohammadi Moghadam, H., Gheisarnejad Chirani, M., Yalsavar, M., Foroozan, H. & Khooban, M. H. (2021). A Novel Nonsingular Terminal Sliding Mode Control-Based Double Interval Type-2 Fuzzy Systems: Real-Time Implementation. Inventions, 6(2), artikel 40. https://doi.org/10.3390/inventions6020040

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

Mikkelsen, K., Rezaei Tabar, Y., Christensen, C. B. & Kidmose, P. (2021). EEGs Vary Less Between Lab and Home Locations Than They Do Between People. Frontiers in Computational Neuroscience, 15, 2454–2461. artikel 565244. https://doi.org/10.3389/fncom.2021.565244

Mikkelsen, K., Phan, H., Rank, M. L., Hemmsen, M. C., De Vos, M. & Kidmose, P. (2022). Sleep monitoring using ear-centered setups: Investigating the influence from electrode configurations. IEEE Transactions on Biomedical Engineering, 69(5), 1564-1572. adv. onlinepublikation. https://doi.org/10.1109/TBME.2021.3116274

Mikkelsen, K. B., Tabar, Y. R., Toft, H. O., Hemmsen, M. C., Rank, M. L. & Kidmose, P. (2022). Self-applied ear-EEG for sleep monitoring at home. I 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022 (s. 3135-3138). IEEE. https://doi.org/10.1109/EMBC48229.2022.9871076

M. Hanafy Mahmoud , N., Jensen, A. L., Topp, C. F. E., Grøn Sørensen, C., Nørremark, M., Eory, V. & Hutchings, N. (2021). A Method to Quantify the Detailed Risk of Serious Injury in Agricultural Production. Sustainability, 13(7), artikel 3859. https://doi.org/10.3390/su13073859

M. Hanafy Mahmoud , N., Jensen, A. L., Topp, C. F. E., Grøn Sørensen, C., Nørremark, M., Eory, V. & Hutchings, N. (2021). A method to link serious injuries to agricultural operations and assess the impact of changes in agricultural systems.. Abstract fra 2021 Nordic Meeting on Agricultural Occupational Health and Safety, Trondheim, Norge.

Merhi, Y. & Agarwala, S. (2022). Fabrication of flexible, and bioresorbable poly-l-lactide acid piezoelectric material with tunable properties. Materials Today: Proceedings, 70, 531-534. https://doi.org/10.1016/j.matpr.2022.09.553

Merhi, Y., Betancur, P. F., Ripolles, T. S., Suetta, C., Brage-Andersen, M. R., Hansen, S. K., Frydenlund, A., Nygaard, J. V., Mikkelsen, P. H., Boix, P. P. & Agarwala, S. (2023). Printed dry electrode for neuromuscular electrical stimulation (NMES) for e-textile. Nanoscale, 15(11), 5337-5344. https://doi.org/10.1039/d2nr06008f

Mehndiratta, M., Camci, E. & Kayacan, E. (2021). Can deep models help a robot to tune its controller? A step closer to self-tuning model predictive controllers. Electronics (Switzerland), 10(18), artikel 2187. https://doi.org/10.3390/electronics10182187

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

Marinoudi, V., Lampridi, M., Kateris, D., Pearson, S., Sørensen, C. G. & Bochtis, D. (2021). The future of agricultural jobs in view of robotization. Sustainability (Switzerland), 13(21), artikel 12109. https://doi.org/10.3390/su132112109

Marcano, N. J. H., Diez, L., Calvo, R. A. & Jacobsen, R. H. (2021). On the Queuing Delay of Time-Varying Channels in Low Earth Orbit Satellite Constellations. IEEE Access, 9, 87378-87390. artikel 9454162. https://doi.org/10.1109/ACCESS.2021.3089005

Marcano, N. J. H., Diez, L., Aguero, R. & Jacobsen, R. H. (2022). Finite Buffer Queuing Delay Performance in the Low Earth Orbit Land Mobile Satellite Channel. I 2022 IEEE Wireless Communications and Networking Conference, WCNC 2022 (s. 132-137). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WCNC51071.2022.9771859

Marandi, S. A., Sehat, H., Lucani Rötter, D. E., Mousavifar, S. & Jacobsen, R. H. (2021). Network Coding-based Data Storage and Retrieval for Kademlia. I 2021 IEEE 93rd Vehicular Technology Conference, VTC 2021-Spring - Proceedings artikel 9448845 IEEE. https://doi.org/10.1109/VTC2021-Spring51267.2021.9448845

Mann, H. M. R., Iosifidis, A., Jepsen, J. U., Welker, J. M., Loonen, M. J. J. E. & Høye, T. T. (2022). Automatic flower detection and phenology monitoring using time-lapse cameras and deep learning. Remote Sensing in Ecology and Conservation, 8(6), 765-777. https://doi.org/10.1002/rse2.275

Mandic, D. P., Rehman, N. U., Wu, Z. & Huang, N. E. (2013). Empirical Mode Decomposition-Based Time-Frequency Analysis of Multivariate Signals: The Power of Adaptive Data Analysis. IEEE Signal Processing Magazine, 30(6), 74-86. https://doi.org/10.1109/msp.2013.2267931

Malmqvist, J., Lundqvist, U., Rosén, A., Edström, K., Gupta, R., Leong, H., Cheah, S. M., Bennedsen, J., Hugo, R., Kamp, A., Leifler, O., Gunnarsson, S., Roslöf, J. & Spooner, D. (2022). The CDIO Syllabus 3.0 - An Updated Statement of Goals. I 18th CDIO International Conference Proceedings - Full papers (s. 18-36) https://en.ru.is/media/cdio2022/CDIO_2022_Proceedings.pdf

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

Magris, M. & Iosifidis, A. (2021). Approximate Bayes factors for unit root testing. Afhandling præsenteret på International Association for Applied Econometrics Annual Conference 2021, Rotterdam, Holland. https://www.researchgate.net/publication/349492007_Approximate_Bayes_factors_for_unit_root_testing

Madsen, E., Tola, D., Hansen, C., Gomes, C. & Larsen, P. G. (2022). AURT: A Tool for Dynamics Calibration of Robot Manipulators. I 2022 IEEE/SICE International Symposium on System Integration, SII 2022 (s. 190-195). IEEE. https://doi.org/10.1109/SII52469.2022.9708769

Madsen, M. L., Ulsig, E. Z., Folsach, S., Godoy, P. H., Stanton, E. J. & Volet, N. (2023). Mid-infrared difference-frequency generation in AlGaAs-on-insulator waveguides. Journal of the Optical Society of America B: Optical Physics, 40(7), 1742-1748. https://doi.org/10.1364/JOSAB.488065

Macedo, H. D. (2021). Digital Twins. 12-15. Afhandling præsenteret på Digitale tvillinger i afløbs- og spildevandsbranchen . http://www.evanet.dk/wp-content/uploads/2021/09/2021_03_EVA_blad.pdf

Macedo, H. D., Thule, C. & Pierce, K. (2021). Proceedings of the 19th International Overture Workshop. https://arxiv.org/abs/2110.09371

Macedo, H. D., Højberg, J., Jensen, J. & Thomsen, U. (2022). Data-Driven Extraneous Water Quantification. Abstract fra 12th Urban Drainage Modeling Conference. https://udm2022.org/2021/11/09/data-driven-extraneous-water-quantification/

Macedo, H. D., Sassanelli, C., Larsen, P. G. & Terzi, S. (2021). Facilitating model-based design of cyber-manufacturing systems. Procedia CIRP, 104, 1936-1941. https://doi.org/10.1016/j.procir.2021.11.327

Macedo, H. D. & Pierce, K. (red.) (2022). Proceedings of the 20th International Overture Workshop. https://doi.org/10.48550/arXiv.2208.10233

Maalandish, M., Babaeian, E., Abolhasani, P., Gheisarnejad Chirani, M. & Khooban, M. H. (2023). Ultra high step-up soft-switching DC/DC converter using coupled inductor and interleaved technique. IET Power Electronics, 16(8), 1320-1338. adv. onlinepublikation. https://doi.org/10.1049/pel2.12472

Maalandish, M., Hosseini, S. H., Sabahi, M., Rostami, N. & Khooban, M. H. (2023). B-MIMO high step-up DC/DC converter with high capability to control inputs. IET Power Electronics, 16(9), 1499-1513. adv. onlinepublikation. https://doi.org/10.1049/pel2.12486

Maalandish, M., Hosseini, S. H., Sabahi, M., Rostami, N. & Khooban, M. H. (2023). High step-up multi input–multi output DC–DC converter with high controllability for battery charger/EV applications. IET Power Electronics. https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/pel2.12587

Ma, C., Rutz, D., Hofmeier, V., Janssen, R., Balafoutis, A., Vaiopoulos, K., Vandorou, F., Sørensen, C. A. G., Manolakos, D., Koutsouris, A., Paris, B., Papadakis, G., Borzecka, M., Wydra, M., Biševac, V., Creupelandt, D., Román, J., Rossi, D., Próchniak, M. ... Asín, M. (2022). Support for Decarbonizing the European Agriculture - The Agrofossilfree Project. I European Biomass Conference and Exhibition Proceedings (EUBCE 2022) (s. 402-405). ETA-Florence Renewable Energies. http://www.etaflorence.it/proceedings/

Lund, J., Jensen, L. B., Macedo, H. D. & Larsen, P. G. (2022). Towards UML and VDM Support in the VS Code Environment. I H. D. Macedo & K. Pierce (red.), Proceedings of the 20th International Overture Workshop (s. 50-65) https://doi.org/10.48550/arXiv.2208.10233

Lumer-Klabbers, G., Hausted, J. O., Kvistgaard, J. L., Macedo, H. D., Frasheri, M. & Larsen, P. G. (2021). Towards a digital twin framework for autonomous robots. I W. K. Chan, B. Claycomb, H. Takakura, J-J. Yang, Y. Teranishi, D. Towey, S. Segura, H. Shahriar, S. Reisman & S. I. Ahamed (red.), 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC) (s. 1254-1259). IEEE. https://doi.org/10.1109/COMPSAC51774.2021.00174

Lotlikar, V. S., Satpute, N. & Gupta, A. (2022). Brain Tumor Detection Using Machine Learning and Deep Learning: A Review. Current Medical Imaging, 18(6), 604-622. https://doi.org/10.2174/1573405617666210923144739

Lotfi, A., Maalandish, M., Aghaei, A., Samadian, A., Fathollahidehkordi, A., Hosseini, S. H. & Khooban, M. H. (2023). Novel multilevel inverter topology with low switch count. International Journal of Emerging Electric Power Systems. https://doi.org/10.1515/ijeeps-2022-0309

Looney, D., Rehman, N. U., Mandic, D., Rutkowski, T. M., Heidenreich, A. & Beyer, D. (2009). Conditioning multimodal information for smart environments. I 2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC) IEEE. https://doi.org/10.1109/icdsc.2009.5289373

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