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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Nazari, M., Korshj, A. R. & Rehman, N. U. (2025). Jump Plus AM-FM Mode Decomposition. IEEE Transactions on Signal Processing, Vol. 73, 1081. Article ISSN 1941-0476. https://doi.org/10.1109/TSP.2025.3535822

Liu, L., Griffiths, M. P., Vang, M., Grombacher, D. J. & Larsen, J. J. (2021). Is it redundant to use model-based subtraction together with the reference noise cancellation? In 27th European Meeting of Environmental and Engineering Geophysics, Held at Near Surface Geoscience Conference and Exhibition 2021, NSG 2021 EAGE Publishing BV. https://doi.org/10.3997/2214-4609.202120108

Nielsen, A. H., Iosifidis, A. & Karstoft, H. (2021). IrradianceNet: Spatiotemporal Deep Learning Model for Satellite-Derived Solar Irradiance Nowcasting. Solar Energy, 228, 659-669. https://doi.org/10.1016/j.solener.2021.09.073

Rafiei Foroushani, M. & Nørremark, M. (2025). Investigation of available ground-truth data in Denmark that can be used for remote identification and localization of populations of selected plant species. DCA - Nationalt Center for Fødevarer og Jordbrug. Rådgivningsrapport fra DCA - Nationalt Center for Fødevarer og Jordbrug

Asif, M. R., Maurya, P. K., Larsen, J. J. & Christiansen, A. V. (2022). Investigating the Integration of Neural Networks in Least-Squares Method for Airborne Electromagnetic Data Inversion. 1-5. Paper presented at NSG2022 3rd Conference on Airborne, Drone and Robotic Geophysics, Beograd, Serbia. https://doi.org/10.3997/2214-4609.202220034

Grombacher, D., Liu, L., Kass, M. A., Osterman, G., Fiandaca, G., Auken, E. & Larsen, J. J. (2020). Inverting surface NMR free induction decay data in a voltage-time data space. Journal of Applied Geophysics, 172, Article 103869. https://doi.org/10.1016/j.jappgeo.2019.103869

Sarabakha, A., Fu, C. & Kayacan, E. (2019). Intuit before tuning: Type-1 and type-2 fuzzy logic controllers. Applied Soft Computing Journal, 81, Article 105495. https://doi.org/10.1016/j.asoc.2019.105495

Haldrup, M., Rasmussen, M., Mohamad, N., Dyrskog, S., Thorup, L., Mikic, N., Wismann, J., Grønhøj, M., Poulsen, F. R., Nazari, M., Rehman, N. U., Simonsen, C. Z. & Korshøj, A. R. (2023). Intraventricular Lavage vs External Ventricular Drainage for Intraventricular Hemorrhage: A Randomized Clinical Trial. JAMA network open, 6(10), e2335247. Article e2335247. https://doi.org/10.1001/jamanetworkopen.2023.35247

Zhang, C., Rossi, C. & Kayacan, E. (2017). Interval Type-2 Fuzzy-Neuro Control of Nonlinear Systems With Proved Overall System Stability. In 2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017 (pp. 1-6). Article 8015495 IEEE. https://doi.org/10.1109/FUZZ-IEEE.2017.8015495

Jensen, T. & Karstoft, H. (2014). Intelligent Soil Tillage. Abstract from NJF Seminar, Herning, Denmark.

Kayacan, E., Saeys, W., Kayacan, E., Ramon, H. & Kaynak, O. (2012). Intelligent Control of a Tractor-Implement System Using Type-2 Fuzzy Neural Networks. In Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on (pp. 1-8). IEEE . https://doi.org/10.1109/FUZZ-IEEE.2012.6250790

Asif, M. R., Foged, N., Maurya, P. K., Grombacher, D. J., Christiansen, A. V., Auken, E. & Larsen, J. J. (2022). Integrating neural networks in least-squares inversion of airborne time-domain electromagnetic data. Geophysics, 87(4), E177-E187. https://doi.org/10.1190/geo2021-0335.1

Pimentel de Figueiredo, R., Le Fevre Sejersen, J., Grimm Hansen, J. & Brandão, M. (2022). Integrated design-sense-plan architecture for autonomous geometric-semantic mapping with UAVs. Frontiers in Robotics and AI, 9, Article 911974. https://doi.org/10.3389/frobt.2022.911974

Ehsan, S., Clark, A., Rehman, N. & McDonald-Maier, K. (2015). Integral Images: Efficient Algorithms for Their Computation and Storage in Resource-Constrained Embedded Vision Systems. Sensors, 15(7), 16804-16830. https://doi.org/10.3390/s150716804

Jain, A., Cunha, F., Bunsen, M. J., Cañas, J. S., Pasi, L., Pinoy, N., Helsing, F., Russo, J., Botham, M., Sabourin, M., Fréchette, J., Anctil, A., Lopez, Y., Navarro, E., Perez Pimentel, F., Zamora, A. C., Silva, J. A. R., Gagnon, J., August, T. ... Rolnick, D. (2025). Insect Identification in the Wild: The AMI Dataset. In A. Leonardis , E. Ricci , S. Roth , O. Russakovsky , T. Sattler & G. Varol (Eds.), Computer Vision – ECCV 2024 - 18th European Conference, Proceedings (pp. 55-73). Springer. https://doi.org/10.1007/978-3-031-72913-3_4

Fu, C., Sarabakha, A., Kayacan, E., Wagner, C., John, R. & Garibaldi, J. M. (2018). Input Uncertainty Sensitivity Enhanced Non-Singleton Fuzzy Logic Controllers for Long-Term Navigation of Quadrotor VTOL UAVs. IEEE - ASME Transactions on Mechatronics, 23(2), 725-734. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8304792

Chen, I.-M., Asadi, E., Nie, J., Yan, R.-J., Chuan Law, W., Kayacan, E., Huat Yeo, S., Huat Low, K., Seet, G. & Tiong, R. (2016). Innovations in Infrastructure Service Robots. In V. Parenti-Castelli & W. Schiehlen (Eds.), CISM International Centre for Mechanical Sciences, Courses and Lectures: Proceedings of the 21st CISM-IFToMM Symposium (pp. 3-16). Springer. https://doi.org/10.1007/978-3-319-33714-2_1

Farkhani, S., Skovsen, S. K., Mortensen, A. K., Laursen, M. S., Nyholm Jørgensen, R. & Karstoft, H. (2020). Initial evaluation of enriching satellite imagery using sparse proximal sensing in precision farming. In C. M. U. Neale & A. Maltese (Eds.), Remote Sensing for Agriculture, Ecosystems, and Hydrology XXII (Vol. 11528). Article 115280A SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.2573626

Nyord, T., Steen, K. A. & Nyholm Jørgensen, R. (2014). Infrared measurements used as soil infiltration indicator for animal slurry. In International Conference of Agricultural Engineering - AgEng 2014 Zurich The European Society of Agricultural Engineers (EurAgEng). http://www.geyseco.es/ageng2014/eposter/?seccion=posters&idcomunicacion=556&tipo=3

Steen, K. A., Delebasse, S., Grooters, K., Høilund, C., Dyrmann, M., Skovsen, S., Nyholm Jørgensen, R. & Green, O. (2018). In-field Potato Diseases Detection. In P. W. G. Groot Koerkamp, C. Lokhorst, A. H. Ipema, C. Kempenaar, C. M. Groenestein, C. G. van Oostrum & N. J. Ros (Eds.), Book of Abstracts of the European Conference on Agricultural Engineering: AgEng2018 (pp. 111). Wageningen University. https://doi.org/10.18174/471678

Midtiby, H., Mosgaard Giselsson, T. & Jørgensen, R. N. (2010). Independent feature based plant classification.

Laursen, M. S., Nyholm Jørgensen, R. & Midtiby, H. S. (2014). Improving the segmentation for weed recognition applications based on standard RGB cameras using optical filters. Abstract from Agromek and NJF joint seminar, Herning, Denmark.

Asif, M. R., Bording, T. S., Barfod, A. A. S., Zhang, B., Larsen, J. J. & Auken, E. (2020). Improving computational efficiency of forward modelling for ground-based time-domain electromagnetic data using neural networks. Abstract from EGU:General assembly 2020 , Vienna , Austria. https://doi.org/10.5194/egusphere-egu2020-7067

Chavez Plascencia, A. & Karstoft, H. (2012). Improvement of KinectTM Sensor Capabilities by Fusion with Laser Sensing Data Using Octree. Sensors, 12, 3868-3878. https://doi.org/10.3390/s120403868

Liu, L., Grombacher, D. J., Auken, E. & Larsen, J. J. (2018). Improved parameters estimates for surface-NMR data using spectral analysis. Paper presented at 7th International Workshop on Magnetic Resonance, Jilin, China.

Nielsen, S. H., Bøgild, A., Jensen, K., Kjærhus Bertelsen, K. & Jørgensen, R. N. (2011). Implementations of FroboMind using the Robot Operating System framework. http://www.njf.nu/site/seminarRedirect.asp?intSeminarID=441&p=1004

Ma, X., J. Hegarty, P., Abildgaard Pedersen, J. & Larsen, J. J. (2018). Impact of loudspeaker nonlinear distortion on personal sound zones. Acoustical Society of America. Journal, 143(51), 51-59. https://doi.org/10.1121/1.5019476

Morales, T., Sarabakha, A. & Kayacan, E. (2020). Image Generation for Efficient Neural Network Training in Autonomous Drone Racing. In 2020 International Joint Conference on Neural Networks (IJCNN) Article 9206943 IEEE. https://doi.org/10.1109/IJCNN48605.2020.9206943

Rehman, N., Khan, M. M., Sohaib, M. I., Jehanzaib, M., Ehsan, S. & McDonald-Maier, K. (2014). Image fusion using multivariate and multidimensional EMD. In 2014 IEEE International Conference on Image Processing (ICIP) IEEE. https://doi.org/10.1109/icip.2014.7026035

Tu, G. J., Karstoft, H., Pedersen, L. J. & Jørgensen, E. (2015). Illumination and Reflectance Estimation with its Application in Foreground Detection. Sensors, 15(9), 21407-21426. https://doi.org/10.3390/s150921407

Kayacan, E., Kayacan, E. & Ahmadieh Khanesar, M. (2014). Identification of Nonlinear Dynamic Systems Using Type-2 Fuzzy Neural Networks - A Novel Learning Algorithm and a Comparative Study. IEEE Transactions on Industrial Electronics, 62(3), 1716-1724. https://doi.org/10.1109/TIE.2014.2345353

Jeppesen, J. H., Jacobsen, R. H., Nyholm Jørgensen, R., Halberg, A. & Toftegaard, T. S. (2017). Identification of High-Variation Fields based on Open Satellite Imagery. Advances in Animal Biosciences, 8(2), 388-393. https://doi.org/10.1017/S2040470017000693

Cielecki, P. P., Hardenberg, M., Amariei, G., Henriksen, M. L., Hinge, M. & Klarskov, P. (2023). Identification of black plastics with terahertz time-domain spectroscopy and machine learning. Scientific Reports, 13(1), Article 22399. https://doi.org/10.1038/s41598-023-49765-z

Gheisarnejad Chirani, M., Mosayebi, M., Rafiei Foroushani, M., Boudjadar, J. & Khooban, M. H. (2023). Hybrid Power Systems for Smart Marine Power Grids: Demonstration and Case Study. In Electric Transportation Systems in Smart Power Grids (pp. 473-492). CRC Press. https://doi.org/10.1201/9781003293989

Ali, M., Khan, A. & Rehman, N. U. (2017). Hybrid multiscale wind speed forecasting based on variational mode decomposition. International Transactions on Electrical Energy Systems, 28(1), e2466. https://doi.org/10.1002/etep.2466

Eyoh, I., John, R., De Maere, G. & Kayacan, E. (2018). Hybrid Learning for Interval Type-2 Intuitionistic Fuzzy Logic Systems as applied to Identification and Prediction Problems, IEEE Transactions on Fuzzy Systems, 26(5), 2672-2685. https://doi.org/10.1109/TFUZZ.2018.2803751

Sridharan, K. S., Højlund, A., Sunde, N., Johnsen, E. L., Johansen, L. G., Beniczky, S. & Østergaard, K. (2016). How do treatments affect somatosensory processing in Parkinson's disease - A MEG study. Poster session presented at PhD Day 2016, Aarhus, Denmark.

Olesen, C. R., Nyholm Jørgensen, R., Laursen, M. S., Larsen, R. & Rosendahl Bjorholm, S. (2017). Høstdrab af rådyr: analyse af høstdrabsproblemets omfang i Danmark samt test af dronebåret losurin som afværgemetode. Danmarks Jægerforbund. http://udgivelser.jaegerforbundet.dk/2017/foldere-og-tryksager/hoestdrab-af-raadyr-analyse-af-hoestdrabsproblemets-omfang-i-danmark-samt-test-af-dronebaaret-losurin-som-afvaergemiddel/?page=2

Sørensen, C. A. G., Nørremark, M., Jørgensen, R., Jensen, K., Jensen, L. A. & Maagaard, J. (2007). Hortibot: Feasibility study of a plant nursing robot performing weeding operations - part IV: Paper No. 077019. In Ikke angivet ASABE - American Society of Agricultural and Biological Engineers. http://asae.frymulti.com/techpapers.asp?confid=min2007

Nørremark, M., Sørensen, C. A. G. & Jørgensen, R. N. (2006). HortiBot: Comparison of present and future phytotechnologies for weed control - part III: Paper No. 067023. In Proc. ASABE Annual Meeting http://asae.frymulti.com/request.asp?JID=5&AID=21017&CID=por2006&T=1

Jørgensen, R., Sørensen, C. A. G., Maagaard, J., Havn, I., Jensen, K., Søgaard, H. T. & Sørensen, L. B. (2007). HortiBot: A System Design of a Robotic Tool Carrier for High-tech PlantNursing. Agricultural Engineering International: CIGR Journal, IX. http://cigr-ejournal.tamu.edu/submissions/volume9/ATOE%2007%20006%20Jorgensen%2011July2007.pdf

Jørgensen, R., Sørensen, C. G., Pedersen, J. M., Havn, I., Jensen, K., Søgaard, H. T. & Sørensen, L. B. (2006). Hortibot: A system design of a robotic tool carrier for high-tech plant nursing. In Proc. Automation Technology for Off-Road Equipment (pp. 13-22) https://cigrjournal.org/index.php/Ejounral/article/view/937/931

Sørensen, C. G., Jørgensen, R. N., Pedersen, J. M. & Nørremark, M. (2006). HortiBot: Application of Quality Function Deployment (QFD) Method for Horticultural Robotic Tool Carrier Design Planning - Part II: Paper No. 067021. In Proc. ASABE Annual Meeting http://asae.frymulti.com/request.asp?JID=5&AID=21015&CID=por2006&T=1

Jørgensen, R. N. & Vinstrup, A. B. (2005). Hortibot - A plant nursing robot. DaNet NewsLetter. https://drive.google.com/file/d/0B7n4HMXh8Cx3MXhxVWFyeTZYdjQ/view?resourcekey=0-qVqhxrsxiKtf5MQNz4aykQ

Jørgensen, R., Sørensen, C. G., Jensen, K., Søgaard, H. T., Pedersen, J. M., Sørensen, L. B., Havn, I., Sibbesen, S. & Nielsen, J. (2006). Hortibot: An Accessory Kit Transforming a Slope Mower into a Robotic Tool Carrier for High-Tech Plant Nursing - Part I: Paper No. 063082. In ASABE Annual Meeting ASABE - American Society of Agricultural and Biological Engineers. http://asae.frymulti.com/request.asp?JID=5&AID=20886&CID=por2006&T=1

Jørgensen, R. N. (2009). Horsens-robot sparer penge og hjælper miljøet: HORSENS - Forskere fra det tidligere Bygholm Forskningscenter repræsenterer i disse dage Danmark ved den store hollandske udstilling for mark-robotter, Field Robot Event. Horsens Folkeblad. http://www.horsens-folkeblad.dk/?artikel=2892

Green, O., Jørgensen, R. N., Sørensen, C. A. G., Kristensen, K., Bochtis, D. & Sørensen, C. A. G. (2010). Hjulbelastning og dæktryks påvirkning af græsudbyttet. In Indvielse af nye high-tech forskningsfaciliteter, Foulum, Danmark https://www.researchgate.net/publication/233725865_Hjulbelastning_og_daektryks_pavirkning_af_graesudbyttet

Kraus, T., Kayacan, E., G. de Baerdemaeker, J. & Saeys, W. (2013). High-Speed Adaptive Nonlinear Predictive Control for Autonomous Tractor Navigation. In IFAC Proceedings Volumes (4 ed., Vol. 46, pp. 135-140). Elsevier. https://doi.org/10.3182/20130327-3-JP-3017.00032

Rafiei, M., Asif, MR., Nørremark, M. & Sørensen, CAG. (2024). High-Resolution Near-Surface Soil Water Content Estimation, Using Remote Sensing Data and Deep Computer Vision Methods. In NSG 2024 30th European Meeting of Environmental and Engineering Geophysics (pp. 1-5). European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.202420111

Jørgensen, R., Nørremark, M., Sørensen, C. A. G. & Andersen, N. A. (2005). High-level control of robots for row crops. In Proc. XXXI CIOSTA-CIGR V cong. on Increasing Work Efficiency in Agriculture, Horticulture and Forestry, University of Hohenheim, Stuttgart, Germany. ISBN 3-00-016346-8 (pp. 123-132) https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=a43aba0d78f0e4c0c89d8e4fd1df2dc2612e6985

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