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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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

Mazur-Milecka, M., Kowalczyk, N., Jaguszewska, K., Zamkowska, D., Wójcik, D., Preis, K., Skov, H., Wagner, S., Sandager, P., Sobotka, M. & Rumiński, J. (2023). Preeclampsia Risk Prediction Using Machine Learning Methods Trained on Synthetic Data. I P. Strumiłło, A. Klepaczko, M. Strzelecki & D. Bociąga (red.), The Latest Developments and Challenges in Biomedical Engineering: Proceedings of the 23rd Polish Conference on Biocybernetics and Biomedical Engineering, Lodz, Poland, September 27–29, 2023 (s. 267-281). Springer. https://doi.org/10.1007/978-3-031-38430-1_21

Mayer, M., Mohapatra, A. & Peric, V. S. (2021). IoT Integration for Combined Energy Systems at the CoSES Laboratory. I 7th IEEE World Forum on Internet of Things, WF-IoT 2021 (s. 195-200). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WF-IoT51360.2021.9596000

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

Marandi, A., Alves, P. G. M. R., Aranha, D. F. & Jacobsen, R. H. (2024). Lattice-based Homomorphic Encryption for Privacy-Preserving Smart Meter Data Analytics. The Computer Journal, 67(5), 1687-1698. https://doi.org/10.1093/comjnl/bxad093

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

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

Mahmoudi, A., Khezri, R., Bidram, A., Khooban, M., Aki, H., Khalilpour, K., Abdeltawab, H. & Muyeen, S. M. (2023). Guest editorial: Application of cloud energy storage systems in power systems. IET Generation, Transmission and Distribution, 17(8), 1687-1689. https://doi.org/10.1049/gtd2.12770

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

Magris, M. & Iosifidis, A. (2023). Bayesian learning for neural networks: an algorithmic survey. Artificial Intelligence Review, 56(10), 11773-11823. https://doi.org/10.1007/s10462-023-10443-1

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, Inc.. https://doi.org/10.1145/3604237.3626863

Magris, M., Shabani, M. & Iosifidis, A. (2024). Manifold Gaussian Variational Bayes on the Precision Matrix. Neural Computation, 36(9), 1744-1798. https://doi.org/10.1162/neco_a_01686

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

Macedo, H. D. & Touili, T. (2013). Mining Malware Specifications through Static Reachability Analysis.

Macedo, H. D. & Oliveira, J. N. (2013). Typing linear algebra: A biproduct-oriented approach.

Macedo, H. D. & Pierce, K. (2023). Proceedings of the 21st International Overture Workshop. http://arxiv.org/pdf/2311.07120v2

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. 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. 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, 16(15), 2606-2623. https://doi.org/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/

Ma, C., Rutz, D., Balafoutis, A., Vaiopoulos, K., Vandorou, F., Kyriakarakos, G., Grøn Sørensen, C., Nørremark, M., Kristensen, E. F., Manolakos, D., Koutsouris, A., Kanaki, V., Paris, B., Papadakis, G., Borzecka, M., Wydra, M., Biševac, V., Vansintjan, D., Román, J. ... Hansen, A. G. (2023). SUPPORTING BIOMASS USAGE AND PRODUCTION TO DECARBONIZE AGRICULTURE INDUSTRY: THE AGROFOSSILFREE PROJECT. I 31st European Biomass Conference and Exhibition: Proceedings (s. 373 - 378)

Lyng, R., Bennedsen, J., Bettaieb, L., Bodsberg, N. R., Edström, K., Guðjónsdóttir, M. S., Roslöf, J., Solbjørg, O. K. & Øien, G. (2023). Editorial. I Proceedings of the 19th International CDIO Conference (s. iv-v). NTNU Norwegian University of Science and Technology.

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

Lund, J., Jensen, L. B., Battle, N., Larsen, P. G. & Macedo, H. D. (2023). Bidirectional UML Visualisation of VDM Models.

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., Fathollahi, A., Hosseini, S. H. & Khooban, M. H. (2024). Novel multilevel inverter topology with low switch count. International Journal of Emerging Electric Power Systems, 25(3), 305-319. 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

Liu, Z., Liang, J., Zhang, S. & Kayacan, E. (2022). ANN-Based vibration control of an aerial refueling hose system with input nonlinearity and prescribed output constraint. Journal of the Franklin Institute, 359(6), 2627-2645. https://doi.org/10.1016/j.jfranklin.2022.01.006

Liu, L., Grombacher, D., Griffiths, M., Vang, M. & Larsen, J. J. (2023). Signal Processing Steady-State Surface NMR Data. IEEE Transactions on Instrumentation and Measurement, 72, Artikel 6502313. https://doi.org/10.1109/TIM.2023.3264033

Liu, B., Wang, Y., Mofid, O., Mobayen, S. & Khooban, M. H. (2024). Barrier Function-Based Backstepping Fractional-Order Sliding Mode Control for Quad-Rotor Unmanned Aerial Vehicle under External Disturbances. IEEE Transactions on Aerospace and Electronic Systems, 60(1), 716-728. https://doi.org/10.1109/TAES.2023.3328801

Lindahl Petersen , K., Ladegaard Jensen, K., Back Nielsen, M., Pas, L.-C., Jensen, N.-P., Nielsen, P. R., Bøjer, O. M., Nyholm Jørgensen, R., Laursen, M. S., Teimouri, N. & Hartmann, B. (2021). Analyse af mulige herbicidbesparelser ved brug af erfaringer og data fra RoboWeedMaPS. Datalogisk Institut. https://datalogisk.dk/wp-content/uploads/2021/03/MST_20rapport_version_2_2002092021.pdf

Lin, P.-C., Abbaszadeh, E., Mobayen, S., Rouhani, S. H., Su, C.-L., Haddad-Zarif, M. & Khooban, M. H. (2024). Soft variable structure fractional sliding-mode control for frequency regulation in renewable shipboard microgrids. Ocean Engineering, Artikel 117065. https://doi.org/10.1016/j.oceaneng.2024.117065

Lillelund, C. M., Pedersen, C. F., Harbo, M. & Fibiger Smed, C. (2021). Vejen til genoptræning går gennem data. Medicoteknik, 8(3), 18-19. https://ipaper.ipapercms.dk/TechMedia/Medicoteknik/2021/3/?page=18

Lillelund, C. M., Jensen, H. B. & Pedersen, C. F. (2022). Cloud K-SVD for Image Denoising. SN Computer Science, 3, Artikel 151. https://doi.org/10.1007/s42979-022-01042-y

Lillelund, C. M., Pannullo, F., Jakobsen, M. O. & Pedersen, C. F. (2023). Predicting Survival Time of Ball Bearings in the Presence of Censoring. I AAAI Symposium on Survival Prediction: Algorithms, Challenges, and Applications (SPACA) AAAI Press.

Lillelund, C. M., Magris, M. & Pedersen, C. F. (2023). Uncertainty Estimation in Deep Bayesian Survival Models. I IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI’23) IEEE. https://doi.org/10.1109/BHI58575.2023.10313466

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