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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Christiansen, M. P., Teimouri, N., Laursen, M. S., Mikkelsen, B. F., Jorgensen, R. N. & Sorensen, C. A. G. (2019). Preprocessed sentinel-1 data via a web service focused on agricultural field monitoring. IEEE Access, 7(1), 65139-65149. Artikel 8715769. https://doi.org/10.1109/ACCESS.2019.2917063

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

Sørensen, R. A., Nielsen, M. & Karstoft, H. (2019). Deep Reinforcement Learning for Route Optimization in Baggage Handling Systems. I S. Y. Yurish (red.), Advances in Signal Processing and Artificial Intelligence: Proceedings of the 1st International Conference on Advances in Signal Processing and Artifical Intelligence (s. 29-33). Artikel 11 IFSA Publishing.

Teimouri, N., Dyrmann, M. & Nyholm Jørgensen, R. (2019). A novel spatio-temporal FCN-LSTM Network for Recognizing Various Crop Types Using Multi-Temporal Radar Images. Remote Sensing, 11(8), Artikel 990. https://doi.org/10.3390/rs11080990

Rafiei Foroushani, M., Khooban, M. H., Afshari-Igder, M. & Boudjadar, J. (2020). A Novel Approach to Overcome the Limitations of Reliability Centered Maintenance Implementation on the Smart Grid Distance Protection System. IEEE Transactions on Circuits and Systems II: Express Briefs, 67(2), 320-324. Artikel 8668570. https://doi.org/10.1109/TCSII.2019.2905639

Kryger, P. & Bjerge, K. (2019). Tælling af varroamider. I Varroatolerance i Danmark : de første skridt februar 2019 (s. 28-31). Danmarks Biavlerforening.

Liu, L., Grombacher, D. J., Auken, E. & Larsen, J. J. (2019). Complex envelope retrieval for surface nuclear magnetic resonance data using spectral analysis. Geophysical Journal International, 217(2), 894-905. https://doi.org/10.1093/gji/ggz068

Larsen, D., Skovsen, S., Steen, K. A., Grooters, K., Eriksen, J., Green, O. & Nyholm Jørgensen, R. (2018). Autonomous Mapping of Grass-Clover Ratio Based on Unmanned Aerial Vehicles and Convolutional Neural Networks. I Proceedings of the 14th International Conference on Precision Agriculture Artikel 5107 International Society of Precision Agriculture. https://www.ispag.org/proceedings/?action=download&item=5107

Skovsen, S., Dyrmann, M., Eriksen, J., Gislum, R., Karstoft, H. & Nyholm Jørgensen, R. (2018). Predicting Dry Matter Composition of Grass Clover Leys Using Data Simulation and Camera-based Segmentation of Field Canopies into White Clover, Red Clover, Grass and Weeds. Abstract fra International Conference on Precision Agriculture, Montréal, Quebec, Canada. https://ispag.org/proceedings/?action=abstract&id=5079&search=authors

Camci, E. & Kayacan, E. (2019). Learning motion primitives for planning swift maneuvers of quadrotor. Autonomous Robots, 43(7), 1733-1745. https://doi.org/10.1007/s10514-019-09831-w

Fu, C., Duan, R. & Kayacan, E. (2019). Visual tracking with online structural similarity-based weighted multiple instance learning. Information Sciences, 481, 292-310. https://doi.org/10.1016/j.ins.2018.12.080

Klausen, K. C., Pagels, K. Ø., Bjerre, J. (red.) & Pedersen, C. F. (red.) (2019). LoRa and LoRaWAN Case Studies. European Regional Development Fund and Central Denmark Region.

Bjerge, K., Fynbo, H. O. U. & Johansen, J. G. (2019). A system on programmable chip design of a digitizer with improved trapezoidal filter validation. Microprocessors and Microsystems, 65, 7-13. https://doi.org/10.1016/j.micpro.2018.12.004

Liu, L., Grombacher, D. J., Auken, E. & Larsen, J. J. (2018). Low noise, multichannel surface NMR receiver system with wireless connections to receiver coils. Abstract fra First Australian Exploration Geoscience Conference, Sydney, Australien. http://www.publish.csiro.au/ex/pdf/ASEG2018abT7_1H

Osterman, G. K., Haldrup, J. N. R., Liu, L., Larsen, J. J., Auken, E. & Grombacher, D. J. (2018). Accounting for MRS signal phases imparted by measurement parameters. Afhandling præsenteret på 7th International Workshop on Magnetic Resonance, Jilin, Kina.

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

Larsen, J. J., Liu, L., Grombacher, D. J., Osterman, G. K. & Auken, E. (2018). Apsu - a new surface NMR instrument.. C01. Afhandling præsenteret på 7th International Workshop on Magnetic Resonance, Jilin, Kina.

Rasmussen, S., Nyboe, N. S., Mai, S. & Larsen, J. J. (2018). Cancellation of minimum shift keying encoded radio signals from airborne TEM data. I 7th International Workshop on Airborne Electromagnetics: AEM2018 Artikel 21 https://rushfiles.one/client/publiclink.aspx?id=Gy1X0iDziy#

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

Bækkegaard, S., Blixenkrone-Møller, J., Larsen, J. J. & Jochumsen, L. (2018). Target Classiﬁcation Using Kinematic Data and a Recurrent Neural Network. I H. Rohling (red.), 2018 19th International Radar Symposium, IRS 2018: Proceedings (Bind 2018). Artikel 8448118 IEEE. https://doi.org/10.23919/IRS.2018.8448118

Auken, E., Foged, N., Larsen, J. J., Lassen, K. V. T., Maurya, P. K., Møller Dath, S. & Eiskjær, T. T. (2019). tTEM — A towed transient electromagnetic system for detailed 3D imaging of the top 70 m of the subsurface. Geophysics, 84(1), E13-E22. https://doi.org/10.1190/geo2018-0355.1

Madsen, S. L., Dyrmann, M., Laursen, M. S., Mathiassen, S. K. & Nyholm Jørgensen, R. (2018). Data Acquisition Platform for Collecting High-Quality Images of Cultivated Weed. I P. W. G. Groot Koerkamp, C. Lokhorst , A. H. Ipema, C. Kempenaar, C. M. Groenestein, C. van Oostrum & N. Ros (red.), Proceedings of the European Conference on Agricultural Engineering: AgEng2018 (s. 360-369). Wageningen University. https://doi.org/10.18174/471679

Christiansen, M. P., Laursen, M. S., Feld Mikkelsen, B., Nyholm Jørgensen, R., Teimouri, N. & Sørensen, C. A. G. (2018). Current potentials and challenges using Sentinel-1 for broadacre field remote sensing. I Book of Abstracts of the European Conference on Agricultural Engineering: AgEng2018 (s. 56). Wageningen University. https://doi.org/10.18174/471678

Steen, K. A., Grooters, K., Høilund, C., Rasmussen, J., Nyholm Jørgensen, R., Dyrmann, M. & Green, O. (2018). Automated Weed Intensity Mapping. I G. K. P.W.G. , C. Lokhorst, A. H. Ipema, C. Kempenaar, C. M. Groenestein , C. G. van Oostrum & N. J. Ros (red.), Book of Abstracts of the European Conference on Agricultural Engineering: AgEng2018 (s. 109). Wageningen University. https://doi.org/10.18174/471678

Larsen, D., Steen, K. A., Skovsen, S., Grooters, K., Eriksen, J., Nyholm Jørgensen, R., Dyrmann, M. & Green, O. (2018). Semantic Segmentation of Clover-Grass Images using Images from Commercially Available Drones. I P. W. G. Groot Koerkamp, C. Lokhorst , A. H. Ipema, C. Kempenaar, C. M. Groenestein, C. G. van Oostrum & N. J. Ros (red.), Book of Abstracts of the European Conference on Agricultural Engineering: AgEng2018 (s. 110). Wageningen University. https://doi.org/10.18174/471678

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

Sørensen, R. A., Rasmussen, J., Nielsen, J. & Nyholm Jørgensen, R. (2017). Thistle detection using convolutional neural networks. I 2017 EFITA WCCA Congress - European conference dedicated to the future use of ICT: Conference Proceedings (s. 161-162). Institut National de Recherche en Sciences et Technologies pour l'Environnement et l'Agriculture. http://www.efita2017.org/wp-content/uploads/2017/09/EFITA_WCCA_2017_proceedings.pdf#page=187

Gislum, R. & Nyholm Jørgensen, R., (2018). Valg af biomasseindeks i pilotprojekt om efterafgrøder/biomasse, Nr. 2018-760-000909, 4 s., nov. 09, 2018.

Larsen, J. J., Liu, L., Grombacher, D. & Auken, E. (2017). Removal of Co-Frequency powerline harmonics from multichannel Surface NMR Data. I 23rd European Meeting of Environmental and Engineering Geophysics European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.201702040

Mehndiratta, M., Camci, E. & Kayacan, E. (2018). Automated Tuning of Nonlinear Model Predictive Controller by Reinforcement Learning. I 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018: IROS (s. 3016-3021). Artikel 8594350 IEEE. https://doi.org/10.1109/IROS.2018.8594350

Wilson Lee, Y. J., Mehndiratta, M. & Kayacan, E. (2018). Fly without borders with Additive Manufacturing: A microscale tilt-rotor Tricopter Design. I Proceedings of the 3rd International Conference on Progress in Additive Manufacturing (Pro-AM 2018) (Bind 2018-May, s. 256-261) https://doi.org/10.25341/D43K5G

Gokhale, R., Wan, Y., Mehndiratta, M. & Kayacan, E. (2018). Fixed-wing Vertical-takeoff-and-landing UAV with Additive Manufacturing: A dual-rotor Version. I Proceedings of the 3rd International Conference on Progress in Additive Manufacturing (Pro-AM 2018) (Bind 2018-May, s. 250-255) https://doi.org/10.25341/D4Z30H

Ong, Z. Q. G., Govdeli, Y., Ravindrababu, S. & Kayacan, E. (2018). Feasibility Studies of Postprocessing Techniques to Strenghten 3D Printed UAV Wing Structures. I Proceedings of the 3rd International Conference on Progress in Additive Manufacturing (Pro-AM 2018) (Bind 2018-May, s. 244-249) https://doi.org/10.25341/D4WW2K

Low, J. M., Govdeli, Y., Ravindrababu, S. & Kayacan, E. (2018). ON THE COMPARISON OF DIAMOND HONEYCOMB AND 3D- KAGOME STRUCTURES FOR 3D PRINTED UAVS. I Proceedings of the 3rd International Conference on Progress in Additive Manufacturing (Pro-AM 2018) (s. 341-346) https://doi.org/10.25341/D49G6P

Ravindrababu, S., Govdeli, Y., Wei Wong, Z. & Kayacan, E. (2018). Evaluation of the Influence of Build and Print Orientations of Unmanned Aerial Vehicle Parts Fabricated Using Fused Deposition Modeling Process. Journal of Manufacturing Processes, 34(Part A), 659-666. https://doi.org/10.1016/j.jmapro.2018.07.007

Mehndiratta, M. & Kayacan, E. (2018). Online Learning-based Receding Horizon Control of Tilt-rotor Tricopter: A Cascade Implementation. I 2018 Annual American Control Conference, ACC 2018 (s. 6378-6383). Artikel 8430814 IEEE. https://doi.org/10.23919/ACC.2018.8430814

Mehndiratta, M., Kayacan, E. & Kayacan, E. (2018). A Simple Learning Strategy for Feedback Linearization Control of Aerial Package Delivery Robot. I 2018 IEEE Conference on Control Technology and Applications, CCTA 2018: CCTA (s. 361-367). Artikel 8511485 IEEE. https://doi.org/10.1109/CCTA.2018.8511485

Mehndiratta, M. & Kayacan, E. (2018). Reconfigurable Fault-tolerant NMPC for Y6 Coaxial Tricopter with Complete Loss of One Rotor. I 2018 IEEE Conference on Control Technology and Applications, CCTA 2018: CCTA (s. 774-780). Artikel 8511444 IEEE. https://doi.org/10.1109/CCTA.2018.8511444

Mortensen, A. K., Bender, A., Whelan, B., Barbour, M. M., Sukkarieh, S., Karstoft, H. & Gislum, R. (2018). Segmentation of lettuce in coloured 3D point clouds for fresh weight estimation. Computers and Electronics in Agriculture, 154, 373-381. https://doi.org/10.1016/j.compag.2018.09.010

Ma, X., J. Hegarty, P. & Larsen, J. J. (2018). Mitigation of Nonlinear Distortion in Sound Zone Control by Constraining Individual Loudspeaker Driver Amplitudes. I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings, 2018, 456-460. https://doi.org/10.1109/ICASSP.2018.8462135

Madsen, S. L., Karstoft, H. & Nyholm Jørgensen, R. (2018). Producing Artificial Data Samples Using Generative Adversarial Networks.. Poster-session præsenteret på 2018 summer school on Optimization in Image Analysis, Sønderborg, Danmark. http://optimization-image-analysis.compute.dtu.dk/posters/simon_madsen.pdf

Skovsen, S., Laursen, M. S., Nyholm Jørgensen, R. & Karstoft, H. (2018). Mapping of Clover Grass Leys using Image Recognition. Poster-session præsenteret på DTU and DIKU Summer School: Optimization in Image Analysis, Danmark. http://optimization-image-analysis.compute.dtu.dk/posters/soren_skovsen.pdf

Rydahl, P., Bojer, O. M., Jorgensen, R. N., Dyrmann, M., Andersen, P., Jensen, N. & Sorensen, M. (2018). Spatial variability of optimized herbicide mixtures and dosages. I Proceedings 14th International Conference on Precision Agriculture (ICPA2018) (s. 1-14). Artikel 5040 International Society of Precision Agriculture. https://www.ispag.org/proceedings/?action=abstractid=5040

Christiansen, M. P., Laursen, M. S., Nyholm Jørgensen, R., Skovsen, S. & Gislum, R. (2018). Ground Vehicle Mapping of Fields using LiDAR to Enable Prediction of Crop Biomass. I Proceedings of the 14th International Conference on Precision Agriculture Artikel 5145 International Society of Precision Agriculture. https://ispag.org/proceedings/?action=abstract&id=5145

Skovsen, S., Dyrmann, M., Eriksen, J., Gislum, R., Karstoft, H. & Nyholm Jørgensen, R. (2018). Predicting Dry Matter Composition of Grass Clover Leys Using Data Simulation and Camera-based Segmentation of Field Canopies into White Clover, Red Clover, Grass and Weeds. I Proceedings of the 14th International Conference on Precision Engineering Artikel 5079 International Society of Precision Agriculture. https://ispag.org/proceedings/?action=abstract&id=5079

Dyrmann, M., Skovsen, S., Laursen, M. S. & Nyholm Jørgensen, R. (2018). Using a fully convolutional neural network for detecting locations of weeds in images from cereal fields. I Proceedings of the 14th International Conference on Precision Agriculture International Society of Precision Agriculture. https://www.ispag.org/proceedings/?action=download&item=5081

Imanberdiyev, N. & Kayacan, E. (2019). A fast learning control strategy for unmanned aerial manipulators. Journal of Intelligent and Robotic Systems, 94(3-4), 805-824. https://doi.org/10.1007/s10846-018-0884-7

Rasmussen, S., Nyboe, N. S., Mai, S. & Larsen, J. J. (2018). Robust cancellation of minimum shift keying-encoded radio interference in data from the transient electromagnetic method. Geophysics, 83(2), E87-E94. https://doi.org/10.1190/GEO2017-0611.1

Yan, R. J., Kayacan, E., Chen, I. M., Tiong, L. K. & Wu, J. (2019). QuicaBot: Quality Inspection and Assessment Robot. IEEE Transactions on Automation Science and Engineering, 16(2), 506-517. https://doi.org/10.1109/TASE.2018.2829927

Malekian, R., Curran, K., Pedersen, C. F., Cao, B. & Qi, X. (2018). Guest Editorial Special Issue on Sensor Technologies for Connected Cars: Devices, Systems and Modeling. IEEE Sensors Journal, 18(12), 4775-4776. https://doi.org/10.1109/JSEN.2018.2830478

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Revideret 13.11.2025

AU Engineering