Publications by Signal Processing & Machine Learning

Are you looking for publications by Section of Signal Processing & Machine Learning? On this page you can find all the publications made by the Section of Signal Processing & Machine Learning - Department of Electrical and Computer Engineering, Aarhus University.

Below you can find a list of all the publications, their publishing date, their author(s), and titles. The list can be sorted by date, author, and title:

List of Publications

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Larsen, J. J., Dalgaard, E. B. & Auken, E. (2013). Noise Cancelling of Multichannel MRS Signals with a Time Dependent Harmonic Model. Poster-session præsenteret på AGU Fall Meeting, San Francisco, USA.

Larsen, J. J., Dalgaard, E. B. & Auken, E. (2013). Noise cancelling of MRS signals combining model-based removal of powerline harmonics and multichannel Wiener filtering. Geophysical Journal International, 196(2), 828-836. https://doi.org/10.1093/gji/ggt422

Dalgaard, E., Auken, E. & Larsen, J. J. (2011). Noise Cancellation of Multichannel Magnetic Resonance Sounding Measurements with Wiener and Adaptive Filters. Abstract fra EAGE Near Surface 2011, Leiceister, Storbritannien. http://www.earthdoc.org/publication/publicationdetails/?publication=53995

Eriksen, J., Frandsen, T. S., Knudsen, L., Skovsen, S., Nyholm Jørgensen, R., Steen, K. A., Green, O. & Rasmussen, J. (2019). Nitrogen fertilization of grass-clover leys. I O. Huguenin-Elie, B. Studer, R. Kölliker, D. Reheul, M. Probo, P. Barre, U. Feuerstein, I. Roldan-Ruiz, P. Mariotte & A. Hopkins (red.), Improving sown grasslands through breeding and management: Proceedings of the Joint 20th Symposium of the European Grassland Federation and the 33rd Meeting of the EUCARPIA Section "Fodder Crops and Amenity Grasses", Zürich, Switzerland, 24-27 June 2019 (s. 103-109). Wageningen Academic Publishers.

Kremer, T., Larsen, J. J. & Nguyen, F. (2018). New Processing Schemes for the Removal of Harmonic Noise from SNMR Signals in Complex Multi-Frequency Noise Environments. I 24th European Meeting of Environmental and Engineering Geophysics European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.201802552

Dobbs, A. M., Ginn, D., Skovsen, S. K., Bagavathiannan, M. V., Mirsky, S. B., Reberg-Horton, C. S. & Leon, R. G. (2022). New directions in weed management and research using 3D imaging. Weed Science, 70(6), 641-647. https://doi.org/10.1017/wsc.2022.56

Kayacan, E., Kayacan, E., Ramon, H. & Saeys, W. (2012). Neuro-Fuzzy Control with a Novel Training Method Based-on Sliding Mode Control Theory: Application to Tractor Dynamics. I IFAC Proceedings Volumes (22 udg., Bind 45, s. 889-894). Elsevier. https://doi.org/10.3182/20120905-3-HR-2030.00014

V. Topalev, A., Kayacan, E., Oniz, Y. & Kaynak, O. (2009). Neuro-Fuzzy Control of Antilock Braking System Using Variable-Structure-Systems-based Learning Algorithm. I Adaptive and Intelligent Systems, 2009. ICAIS '09. International Conference on (s. 166-171). IEEE . https://doi.org/10.1109/ICAIS.2009.35

V. Topalev, A., Oniz, Y., Kayacan, E. & Kaynak, O. (2011). Neuro-Fuzzy Control of Antilock Braking System Using Sliding Mode Incremental Learning Algorithm. Neurocomputing, 74(11), 1883-1893. https://doi.org/10.1016/j.neucom.2010.07.035

V. Topalev, A., G. Shakev, N., Kaynak, O. & Kayacan, E. (2010). Neuro-adaptive Approach for Controlling a Quad-rotor Helicopter Using Sliding Mode Learning Algorithm. I IFAC Proceedings Volumes (10 udg., Bind 43, s. 94-99). Elsevier. https://doi.org/10.3182/20100826-3-TR-4015.00020

Naveed, K., de Freitas, B. N. & Pauwels, R. (2025). Naada: A Noise-Aware Attention Denoising Autoencoder for Dental Panoramic Radiographs.

Jørgensen, R., Jørgensen, B. J. & Nielsen, N. E. (1998). N2O emission immediately after rainfall in a rye stubble field. Soil Biology & Biochemistry, 30(4), 545-546.

Jørgensen, R. & Jørgensen, B. J. (1998). N2O emission from Miscanthus, rye and oilseed rape in relation to the net CO2-displacement. I Wörgetter, M. & Jørgensen, U. (eds.), Environmental aspects of energy crop production. Proc. IEA workshop, Brassimone, Italy, 1997. Report from BLT.

Jørgensen, R., Jørgensen, B. J., Nielsen, N. E., Maag, M. & Lind, A.-M. (1997). N2O emission from energy crop fields with Miscanthus Giganteus and winter rye. Atmospheric Environment, 31, 2899-2904.

Jørgensen, R. N., Jørgensen, B. J., Nielsen, N. E., Maag, M. M. & Lind, A.-M. (1997). N2O emission from energy crop fields of Miscanthus " giganteus" and winter rye. Atm. Environ, 31, 2899-2904.

Jørgensen, B. J. & Jørgensen, R. (1996). N2O emission from energy crop fields.

Rehman, N. U. & Aftab, H. (2019). Multivariate Variational Mode Decomposition. IEEE Transactions on Signal Processing, 67(23), 6039. Artikel 8890883. https://doi.org/10.1109/TSP.2019.2951223

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

Ahmed, M. U., Rehman, N., Looney, D., Rutkowski, T. M., Kidmose, P. & Mandic, D. P. (2012). Multivariate entropy analysis with data-driven scales. I 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (s. 3901-3904). IEEE. https://doi.org/10.1109/icassp.2012.6288770, https://doi.org/10.1109/ICASSP.2012.6288770

ur Rehman, N., Ehsan, S., Abdullah, S. M. U., Akhtar, M. J., Mandic, D. P. & McDonald-Maier, K. D. (2015). Multi-Scale pixel-based image fusion using multivariate empirical mode decomposition. Sensors (Switzerland), 15(5), 10923-10947. https://doi.org/10.3390/s150510923

Naveed, K., Shaukat, B., Ehsan, S., Mcdonald-Maier, K. D., Rehman, N. U. & Baghaie, A. (red.) (2019). Multiscale image denoising using goodness-of-fit test based on EDF statistics. P L o S One, 14(5), e0216197. https://doi.org/10.1371/journal.pone.0216197

Rehman, N. U., Naveed, K., Ehsan, S. & McDonald-Maier, K. (2016). Multi-scale image denoising based on goodness of fit (GOF) tests. I 2016 24th European Signal Processing Conference (EUSIPCO) IEEE. https://doi.org/10.1109/eusipco.2016.7760508

Morante Moreno, M., Frølich, K., Shahzaib, M., shakil, S. & Rehman, N. U. (2024). Multiscale Functional Connectivity analysis of episodic memory reconstruction. Frontiers in Cognition, 3, Artikel 1433234. https://doi.org/10.3389/fcogn.2024.1433234

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

Asif, M. R., Qi, C., Hussain, S. & Sadiq Fareed, M. (2016). Multiple License Plate Detection for Chinese Vehicles in Dense Traffic Scenarios. IET Intelligent Transport Systems, 10(8). https://doi.org/10.1049/iet-its

Asif, M. R., Qi, C., Hussain, S., Sadiq Fareed, M. & Khan, S. (2017). Multinational vehicle license plate detection in complex backgrounds. Journal of Visual Communication and Image Representation, 46, 176-186. https://doi.org/10.1016/j.jvcir.2017.03.020

Hansen, M. K., Christiansen, P., Korthals, T., Jungeblut, T., Karstoft, H. & Nyholm Jørgensen, R. (2016). Multi-modal Obstacle Detection and Evaluation of Occupancy Grid Mapping in Agriculture. Afhandling præsenteret på International Conference on Agricultural Engineering 2016, Aarhus, Danmark. http://conferences.au.dk/uploads/tx_powermail/2016cigr_-_multi-modal_obstacle_detection_and_evaluation_of_evidence_grid_mapping_in_agriculture.pdf

Korthals, T., Kragh, M. F., Christiansen, P., Karstoft, H., Nyholm Jørgensen, R. & Rückert, U. (2018). Multi-Modal Detection and Mapping of Static and Dynamic Obstacles in Agriculture for Process Evaluation. Frontiers in Robotics and AI, 5(MAR), Artikel 28. https://doi.org/10.3389/frobt.2018.00028

Bahner , K., Larsen, J. J. & Auken, E. (2015). Multichannel magnetic resonance sounding with wirelessly operated coils – A design study. Poster-session præsenteret på The 6th International Workshop on Magnetic Resonance, Aarhus , Danmark. http://hgg.au.dk/fileadmin/www.dna18.au.dk/MRS2015_program.pdf

Sejersen, J. L. F., Sarabakha, A., Plagborg Bak Sørensen, K. & Høigaard Jensen, J. (2025). Multi-Agent Path Planning in Complex Environments using Gaussian Belief Propagation with Global Path Finding. 1-7. Afhandling præsenteret på 2025 IEEE International Conference on Robotics and Automation (ICRA) , Atlanta, Georgia, USA. https://arxiv.org/abs/2502.20369

Nyholm Jørgensen, R. & Nørremark, M. (2015). Muligheder og perspektiver i anvendelse af robotter i roer, gulerødder og kartofler. Abstract fra Plantekongres 2015, Herning, Danmark.

Gislum, R., Nyholm Jørgensen, R. & Mortensen, A. K. (2015). Mulige gevinster ved gradueret gødskning på basis af droneoptagelser. Abstract fra Plantekongres 2015, Herning, Danmark.

Kraus, T., Ferreau, H. J., Kayacan, E., Ramon, H., De Baerdemaeker, J., Diehl, M. & Saeys, W. (2013). Moving horizon estimation and nonlinear model predictive control for autonomous agricultural vehicles. Computers and Electronics in Agriculture, 98, 25-33. https://doi.org/10.1016/j.compag.2013.06.009

Sadiq, M. T., Yu, X., Yuan, Z., Aziz, M. Z., Rehman, N. U., Ding, W. & Xiao, G. (2022). Motor Imagery BCI Classification Based on Multivariate Variational Mode Decomposition. IEEE Transactions on Emerging Topics in Computational Intelligence, 6(5), 1177-1189. https://doi.org/10.1109/tetci.2022.3147030

Bjerge, K., Frigaard, C. E. & Karstoft, H. (2022). Motion Informed Object Detection of Small Insects in Time-lapse Camera Recordings. arxiv.org. https://arxiv.org/abs/2212.00423

Kristensen, M. V., Ahrendt, P., Lindballe, T. B., Nielsen, O. H. A., Kylling, A. P., Karstoft, H., Imparato, A., Rigau, L. H., Stadler, B., Stapelfeldt, H. & Keiding, S. R. (2012). Motion analysis of optically trapped particles and cells using 2D Fourier analysis. Optics Express, 20(3), 1953-1962. https://doi.org/10.1364/OE.20.001953

Wang, Z., Chen, L., Chen, H. & Rehman, N. U. (2023). Monthly ship price forecasting based on multivariate variational mode decomposition. Engineering Applications of Artificial Intelligence, 125, Artikel 106698. https://doi.org/10.1016/j.engappai.2023.106698

Alvarez Tunon, O., Brodskiy, Y. & Kayacan, E. (2024). Monocular visual simultaneous localization and mapping:(r) evolution from geometry to deep learning-based pipelines. IEEE Transactions on Artificial Intelligence, 5(5), 1990-2010. Artikel 3321032. https://doi.org/10.1109/TAI.2023.3321032

S. Nadimi, E., Jørgensen, R. N., Blanes-Vidal, V. & Christensen, S. (2012). Monitoring and classifying animal behavior using ZigBee-based mobile ad hoc wireless sensor networks and artificial neural networks. Computers and Electronics in Agriculture, 82, 44-54. https://doi.org/10.1016/j.compag.2011.12.008

Midtiby, H., Laursen, M. S., Jørgensen, R. N. & Krüger, N. (2012). MODICOVI - Monocot and dicot coverage ratio vision based method for real time estimation of canopy coverage ratio between cereal and dicotyledon weeds.

Shahrak Nadimi, E. & Jørgensen, R. N. (2012). MoDest GrassUp. (Patentnummer DK2010/050334).

Jørgensen, R. N. & S. Nadimi, E. (2010, feb. 1). MoDest GrassUp.

Kayacan, E., Kayacan, E., Ramon, H. & Saeys, W. (2012). Model Predictive Control of the Yaw Dynamics of an Autonomous Tractor. I A. Peruzzi (red.), : Proceedings of the First International Conference on Robotics and Associated High-technologies and Equipment for Agriculture. Applications of automated systems and robotics for crop protection in sustainable precision agriculture (s. 157-162). University of Pisa.

Eren, U., Prach, A., Bahadir Kocer, B., Rakovic, S. V., Kayacan, E. & Acikmese, B. (2017). Model Predictive Control in Aerospace Systems: Current State and Opportunities. AIAA Journal of Guidance, Control and Dynamics, 40(7), 1541-1566. https://doi.org/10.2514/1.G002507

Bochtis, D., Sørensen, C. A. G., Jørgensen, R. N. & Green, O. (2009). Modelling of material handling operations using controlled traffic. Biosystems Engineering, 103(4), 397-408. https://doi.org/10.1016/j.biosystemseng.2009.02.006

Hansen, K. V., Brix, L. C., Pedersen, C. F., Haase, J. & Larsen, O. V. (2004). Modelling of interaction between a spatula and a human brain. Medical Image Analysis, 8(1), 23-33. https://doi.org/10.1016/j.media.2003.07.001

Christensen, L. K., Bennedsen, B. S., Jørgensen, R. & Nielsen, H. (2004). Modelling nitrogen and phosphorus content at early growth stages in spring barley using spectral line scanning. Biosystems Engineering, 88(1), 19-24.

Pedersen, C. F., Brix, L. C., Hansen, K. V., Haase, J. & Larsen, O. V. (2002). Modeling interaction between a brain spatula and a human brain. Child's Nervous System, 18(5), 257-260. https://doi.org/10.1007/s00381-002-0581-4

Kayacan, E., Kayacan, E., Ramon, H. & Saeys, W. (2013). Modeling and Identification of the Yaw Dynamics of an Autonomous Tractor. I Control Conference (ASCC), 2013 9th Asian (s. 1-6). IEEE. https://doi.org/10.1109/ASCC.2013.6606388

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Revideret 10.08.2023

AU Engineering