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

Jensen, K., Larsen, L. B., Olsen, K. S., Hansen, J. & Jørgensen, R. N. (2012). First results: Robot mapping of areas contaminated by landmines and unexploded ordnance. https://www.researchgate.net/publication/348751530_First_results_Robot_mapping_of_areas_contaminated_by_landmines_and_unexploded_ordnance

Laursen, M. S., Nyholm Jørgensen, R., Gislum, R. & Christiansen, M. P. (2017). First attempt at crop mapping with Velodyne VLP16 and Matrice 100. Pictures, Video and sound recordings (digital), YouTube. https://www.youtube.com/watch?v=rzTScFbkdG0

Bäckström, T., Pedersen, C. F., Fischer, J. & Pietrzyk, G. (2015). Finding Line Spectral Frequencies Using the Fast Fourier Transform. In Proceedings of the 2015 IEEE International Conference on Acoustics, Speech and Signal Processing: ICASSP (pp. 5122-5126). IEEE. https://doi.org/10.1109/ICASSP.2015.7178947

Olesen, H., Jiang, B., Schultz, N., Sørensen, L., Saugstrup, D., Skouby, K. E., Pedersen, C. F., Larsen, L. B., Bjorksten, M., Kaldanis, V., Prasad, R., Olséni, C., Roswall, R. & Vila, J. (2005). Final user requirements for the PN service architecture. Information Society Technologies, My Personal Adaptive Global NET (MAGNET), IST 507102.

Rehman, N. U. & Mandic, D. P. (2011). Filter Bank Property of Multivariate Empirical Mode Decomposition. IEEE Transactions on Signal Processing, 59(5), 2421-2426. https://doi.org/10.1109/tsp.2011.2106779

Bjerge, K., Pinoy, N., Karstoft, H. & Høye, T. T. (2023). Field trials with automated moth monitoring in three different habitats of Denmark. Abstract from 2023 Butterfly Conservation Symposium, Bedfordshire , United Kingdom.

Nyholm Jørgensen, R., Brandt , M. B., Schmidt, T., Laursen, M. S., Larsen, R., Nørremark, M., Midtiby, H. S. & Christiansen, P. (2015). Field trial design using semi-automated conventional machinery and aerial drone imaging for outlier identification. In J. V. Stafford (Ed.), Precision agriculture '15: Papers presented at the 10th European Conference on Precision Engineering (Vol. 2015, pp. 151-158). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-814-8_18

Giselsson , T. M. & Nyholm Jørgensen, R. (2013). Field Simulation Method for Testing Computer Vision Algorithms. Paper presented at CIOSTA XXXV Conference, Billund, Denmark.

Jørgensen, B. J. & Jørgensen, R. (1997). Field scale and laboratory study of factors affecting N2O emission from a rye stubble field on sandy loam soil. Biology and Fertility of Soils, 25, 366-371.

Kragh, M. F., Christiansen, P., Laursen, M. S., Larsen, M., Steen, K. A., Green, O., Karstoft, H. & Jørgensen, R. N. (2017). FieldSAFE: Dataset for Obstacle Detection in Agriculture. Sensors, 17(11), Article 2579. https://doi.org/10.3390/s17112579

Bjerge, K., Bodesheim, P. & Karstoft, H. (2024). Few-Shot Learning with Novelty Detection. 340-363. Paper presented at DeLTA 2024 - 5th International Conference on Deep Learning Theory and Applications. https://doi.org/10.1007/978-3-031-66694-0_21

Jørgensen, R., Sørensen, C. A. G., Jensen, H. F., Andersen, B. H., Jensen, K. & Maagaard, J. (2007). FeederAnt - An autonomous mobile unit feeding outdoor pigs: Paper No. 077022. In Ikke angivet ASABE - American Society of Agricultural and Biological Engineers. http://asae.frymulti.com/techpapers.asp?confid=min2007

Ahmadieh Khanesar, M., Kayacan, E., Reyhanoglu, M. & Kaynak, O. (2015). Feedback Error Learning Control of Magnetic Satellites Using Type-2 Fuzzy Neural Networks With Elliptic Membership Functions. IEEE Transactions on Cybernetics, 45(4), 858-868. https://doi.org/10.1109/TCYB.2015.2388758

Griffiths, M. P. & Hardenberg, M. (2024). Feasibility study of steady-state surface NMR with adiabatic pulses. Paper presented at EAGE Near Surface Geoscience, Helsinki, Finland.

Hardenberg, M., Griffiths, M. P., Grombacher, D. & Larsen, J. J. (2024). Feasibility study of steady-state surface NMR with adiabatic pulses. In NSG2024, 30th European Meeting of Environmental and Engineering Geophysics (pp. 1-5). European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.202420051

Sørensen, C. A. G., Green, O., Nørremark, M., Jørgensen, R., Jensen, K., Maagaard, J. & Jensen, L. A. (2007). Feasibility study of a plant nursing robot performing weeding operations. Abstract from NJF seminar: Modellling in Agriculture, Jelgava, Latvia.

Sørensen, C. A. G., Green, O., Nørremark, M., Jørgensen, R. N., Jensen, K., Maagaard, J. & Jensen, L. A. (2009). Feasibility study of a plant nursing robot performing weeding operations. In Proceedings of the NJF Seminar Nordic Association of Agricultural Scientists.

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

Kusk, K., Nielsen, D. B., Thylstrup, T., Rasmussen, N. H., Jørvang , J., Pedersen, C. F. & Wagner, S. R. (2013). Feasibility of using a lightweight context-aware system for facilitating reliable home blood pressure self-measurements. In Proceedings of the 2013 7th International Conference on Pervasive Computing Technologies for Healthcare and Workshops: PervasiveHealth 2013 (pp. 236-239) https://doi.org/10.4108/icst.pervasivehealth.2013.252107

Larsen, J. J., Kass, M. A., Grombacher, D. & Griffiths, M. P. (2024). Feasibility of Surface Nuclear Magnetic Resonance With Absurdly Long Excitation Pulses. Geophysical Research Letters, 51(20), Article e2024GL110826. https://doi.org/10.1029/2024GL110826

Kjaer-Rasmussen, A., Griffiths, M. P., Grombacher, D. & Larsen, J. J. (2022). Fast removal of powerline harmonic noise from surface NMR datasets using a projection-based approach on graphical processing units. IEEE Geoscience and Remote Sensing Letters, 19, Article 8024005. https://doi.org/10.1109/LGRS.2021.3118064

Larsen, J. J., Dalgaard, E., Christiansen, P. & Auken, E. (2014). Fast mapping and analysis of anthropogenic noise sources affecting MRS experiments. In Near Surface Geoscience 2014 - 20th European Meeting of Environmental and Engineering Geophysics European Association of Geoscientists and Engineers. http://www.scopus.com/inward/record.url?scp=84908375168&partnerID=8YFLogxK

Dong, Y., Camci, E. & Kayacan, E. (2018). Faster RRT-based Nonholonomic Path Planning in 2D Building Environments Using Skeleton-constrained Path Biasing. Journal of Intelligent and Robotic Systems, 89(3-4), 387-401. https://doi.org/10.1007/s10846-017-0567-9

Miranda, J., Memon, M., Cabral, J., Ravelo, B., Wagner, S. R., Pedersen, C. F., Mathiesen, M. & Nielsen, C. (2017). Eye on Patient Care: Continuous Health Monitoring: Design and Implementation of a Wireless Platform for Healthcare Applications. IEEE Microwave Magazine, 18(2), 83-94. Article 7843732. https://doi.org/10.1109/MMM.2016.2635898

Vang, M. Ø., Grombacher, D., Larsen, J. J. & Christiansen, A. V. (2024). Extrapolating sparse SNMR data sets onto dense TEM coverage using spatially variable correlations. Abstract from AGU Fall meeting 2024, Washington DC, United States.

Rasmussen, S., Skovgaard Nyboe, N., Mai, S. & Larsen, J. J. (2018). Extraction and use of noise models from transient electromagnetic data. Geophysics, 83(1), E37-E46. https://doi.org/10.1190/geo2017-0299.1

Rasmussen, S., Skovgaard Nyboe, N. & Larsen, J. J. (2016). Extraction and Use of Noise Models from Production-Mode Transient Electromagnetic Data. Abstract from AGU Fall Meeting 2016, San Francisco, California, United States. https://agu.confex.com/agu/fm16/meetingapp.cgi/Paper/168217

Ahmadieh Khanesar, M., Kayacan, E., Teshnelab, M. & Kaynak, O. (2011). Extended Kalman Filter Based Learning Algorithm for Type-2 Fuzzy Logic Systems and its Experimental Evaluation. IEEE Transactions on Industrial Electronics, 59(11), 4443-4455. https://doi.org/10.1109/TIE.2011.2151822

Jørgensen, R., Hansen, P. M. & Bro, R. (2006). Exploratory study of winter wheat reflectance during vegetative growth using three-mode component analysis. International Journal of Remote Sensing, 27(5), 919-937.

Cigdem, O., Kayacan, E. & Kaynak, O. (2011). Experimental Study of an Interval Type-2 Fuzzy Neural Network Using Sliding-Mode Online Learning Algorithm. In Control Conference (ASCC), 2011 8th Asian (pp. 1181-1186). IEEE. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5899240

Andersen, K. F., Pham, H. X., Ugurlu, H. I. & Kayacan, E. (2022). Event-based Navigation for Autonomous Drone Racing with Sparse Gated Recurrent Network. In 2022 European Control Conference (ECC) (pp. 1342-1348). IEEE. https://doi.org/10.23919/ECC55457.2022.9838538

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

Dyrmann, M., Midtiby, H. S. & Nyholm Jørgensen, R. (2016). Evaluation of intra variability between annotators of weed species in color images. Paper presented at International Conference on Agricultural Engineering 2016, Aarhus, Denmark. http://conferences.au.dk/uploads/tx_powermail/cigr2016paper_annotation.pdf

Wagner, S. R., Beevi, F. H. A., Pedersen, C. F., Miranda, J., Cabral, J. & Ravelo, B. (2016). Evaluation of Caregivers' First Time Use of a Seamless Deployment Platform. In Proceedings of the International Conference on E-Health, EH 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016 (pp. 59-66). IADIS.

Grombacher, D., Griffiths, M. P. & Maurya, P. K. (2024). Estimation of transmitter-receiver separation for mobile ground-based transient electromagnetic systems using on-time gates. Abstract from AGU Fall meeting 2024, Washington DC, United States.

Skovsen, S., Dyrmann, M., Mortensen, A. K., Steen, K. A., Green, O., Eriksen, J., Gislum, R., Nyholm Jørgensen, R. & Karstoft, H. (2017). Estimation of the Botanical Composition of Clover-Grass Leys from RGB Images Using Data Simulation and Fully Convolutional Neural Networks. Sensors, 17(12), Article 2930. https://doi.org/10.3390/s17122930

Nielsen, K. K., Andersen, H. J., Thomsen, A., Jørgensen, J. R. & Jørgensen, R. N. (2009). Estimation of leaf area index in cereal crops using red–green images. Biosystems Engineering, 104(3), 308-317. https://doi.org/10.1016/j.physletb.2003.10.071

Mashhadi, S. R., Grombacher, D., Pedersen, J. B., Jørgensen, F., Andersen, T. R. & Griffiths, M. P. (2024). Estimation of hydraulic conductivity variations within glacial sediments at Endelave island by borehole NMR data. In 30th European Meeting of Environmental and Engineering Geophysics, Held at the Near Surface Geoscience Conference and Exhibition 2024, NSG 2024 European Association of Geoscientists and Engineers, EAGE. https://doi.org/10.3997/2214-4609.202420047

Lakshminarayanan, S., Duecker, D., Sarabakha, A., Ganguly, A., Takayama, L. & Haddadin, S. (2024). Estimation of External Force acting on Underwater Robots. In 2024 IEEE 20th International Conference on Automation Science and Engineering, CASE 2024 (pp. 3125-3131). IEEE. https://doi.org/10.1109/CASE59546.2024.10711608

Mortensen, A. K., Gislum, R., Larsen, R. & Nyholm Jørgensen, R. (2015). Estimation of above-ground dry matter and nitrogen uptake in catch crops using images acquired from an octocopter. In J. V. Stafford (Ed.), Precision agriculture '15: Papers presented at the 10th European Conference on Precision Agriculture (Vol. 2015, pp. 127-134). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-814-8_15

Mortensen, A. K., Laursen, M. S. & Nyholm Jørgensen, R. (2018). Estimation of Above-Ground Biomass and Nitrogen-Content of Agricultural Field Crops using Computer Vision. Pictures, Video and sound recordings (digital)

Mortensen, A. K., Karstoft, H., Søegaard, K. & Nyholm Jørgensen, R. (2014). Estimating the content of clover and grass in the sward using a consumer camera and image processing. Abstract from Agromek and NJF joint seminar, Herning, Denmark. http://www.njf.nu/477.htm

Midtiby, H., Mosgaard Giselsson, T. & Jørgensen, R. N. (2012). Estimating plant stem emerging points (PSEPs) of sugar of beets in early growth stages. Biosystems Engineering, 111(1), 83-90. https://doi.org/10.1016/j.biosystemseng.2011.10.011

Jørgensen, R. N., Sørensen, C. G., Green, O. & Kristensen, K. (2009). Estimating impact on clover-grass yield caused by traffic intensities. In C. Lokhorst & P. W. G. Groot Koerkamp (Eds.), Precision livestock farming '09 (Vol. 2009, pp. 143-147). Wageningen Academic Publishers.

Jørgensen, R. N., Sørensen, C. A. G., Green, O. & Kristensen, K. (2010). Estimating impact on clover-grass yield caused by traffic intensities.

Larsen, P. G., Kristiansen, E. L., Bennedsen, J. & Bjerge, K. (2017). Enhancing non-technical skills by a multidisciplinary engineering summer school. European Journal of Engineering Education, 42(6), 1076-1096. https://doi.org/10.1080/03043797.2016.1261278

Banaei, M., Ghanami, F., Rafiei Foroushani, M., Boudjadar, J. & Khooban, M. H. (2020). Energy Management of Hybrid Diesel/Battery Ships in Multidisciplinary Emission Policy Areas. Energies, 13(16), Article 4179. https://doi.org/10.3390/en13164179

Rafiei Foroushani, M., Boudjadar, J. & Khooban, M. H. (2021). Energy Management of a Zero-Emission Ferry Boat with a Fuel Cell-Based Hybrid Energy System: Feasibility Assessment. IEEE Transactions on Industrial Electronics, 68(2), 1739-1748. https://doi.org/10.1109/TIE.2020.2992005

S. Nadimi, E., Blanes-Vidal, V. & Jørgensen, R. N. (2009). ENERGY GENERATION FOR WIRELESS SENSOR NETWORK BASED animal behavior monitoring system.

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