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

Nyholm Jørgensen, R., Sørensen, R. A., Laursen, M. S., Rasmussen, J. & Nielsen, J. (2017). FutureCropping Generering af tidselkort med Pix4D, DeepLearning og QGIS 18AUG2017. Billeder, Video- og Lydoptagelser (digital), YouTube. https://www.youtube.com/watch?v=3X8h4U4o2-o

Kayacan, E. & Ahmadieh Khanesar, M. (2017). Fuzzy Neural Networks for Real Time Control Applications, Concepts, Modeling and Algorithms for Fast Learning. Butterworth-Heinemann. https://books.google.dk/books?id=8X4VBgAAQBAJ&printsec=frontcover&hl=da#v=onepage&q&f=false

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

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

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

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

Kayacan, E., Ahmadieh Khanesar, M., Rubio-Hervas, J. & Reyhanoglu, M. (2017). Learning control of fixed-wing unmanned aerial vehicles using fuzzy neural networks. International Journal of Aerospace Engineering, 2017, Artikel 5402809. https://doi.org/doi.org/10.1155/2017/5402809

Nyholm Jørgensen, R. (2017). Metatilgangen til Deep Learning. Billeder, Video- og Lydoptagelser (digital), YouTube. https://www.youtube.com/watch?v=moLU3QvWIRM&t=355s

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

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

Rasmussen, S., Skovgaard Nyboe, N., Mai, S. & Larsen, J. J. (2017). Noise properties of Fourier deconvolution for time-domain electromagnetic soundings. Geophysics, 82(5), 257-266. https://doi.org/10.1190/geo2016-0588.1

Sarabakha, A., Imanberdiyev, N., Kayacan, E., Ahmadieh Khanesar, M. & Hagras, H. (2017). Novel Levenberg-Marquardt Based Learning Algorithm for Unmanned Aerial Vehicles. Information Sciences, 417, 361-380. https://doi.org/10.1016/j.ins.2017.07.020

Christiansen, P., Kragh, M. F., Steen, K. A., Karstoft, H. & Nyholm Jørgensen, R. (2017). Platform for evaluating sensors and human detection in autonomous mowing operations. Precision Agriculture, 18(3), 350-365. https://doi.org/10.1007/s11119-017-9497-6

Mortensen, A. K., Karstoft, H., Søegaard, K., Gislum, R. & Nyholm Jørgensen, R. (2017). Preliminary Results of Clover and Grass Coverage and Total Dry Matter Estimation in Clover-Grass Crops Using Image Analysis. Journal of Imaging, 3(4), Artikel 59. https://doi.org/10.3390/jimaging3040059

Madsen, S. L., Karstoft, H., Nyholm Jørgensen, R., Nørremark, M., Khokhar, Y., Gomez, J. S., pier van Gosliga, S. & Jaakkola, K. (2017). Quantifying behaviour of dairy cows via multi-stage Support Vector Machines. I D. Berckmans & A. Keita (red.), Book of proceedings: 8th European Conference on Precision Livestock Farming: ECPLF 2017 (s. 90-100)

Kayacan, E. & Mehndiratta, M. (2017). Receding Horizon Control of 3 DOF Helicopter Using Online Estimation of Aerodynamic Parameters. Proceedings of the Institution of Mechanical Engineers Part G-Journal of Aerospace Engineering, 1-12.

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

Hein, A., Larsen, J. J. & D. Parsekian, A. (2017). Removal of Harmonic Noise from Surface Nuclear Magnetic Resonance Measurements in the Frequency Domain. Poster-session præsenteret på SAGEEP 2017, Denver, USA.

Nyholm Jørgensen, R., Nielsen, E. D. & Madsen, S. L. (2017). RoboWeedMaPS - Demo DroneApp beta med DJI Phantom 4. Billeder, Video- og Lydoptagelser (digital), YouTube. https://www.youtube.com/watch?v=PQ6sSIk7-0s

Nyholm Jørgensen, R. & Madsen, S. L. (2017). RoboWeedMaPS - First Automated Weed Mapping test flight with DJI Phantom 4 Pro. Billeder, Video- og Lydoptagelser (digital), YouTube. https://www.youtube.com/watch?v=-dHMbt9rwak

Nyholm Jørgensen, R. & Laursen, M. S. (2017). RoboWeedMaPS - First Grass-weed field inspection in Winter Wheat using DJI Goggles. Billeder, Video- og Lydoptagelser (digital), YouTube. https://www.youtube.com/watch?v=Yma1Psi9OEw

Nielsen, P. R., Jensen, N.-P., Dyrmann, M., Nielsen, P.-H. & Nyholm Jørgensen, R. (2017). RoboWeedSupport - Presentation of a cloud based system bridging the gap between in-field weed inspections and decision support systems. Advances in Animal Biosciences, 8(2), 860-864. https://doi.org/10.1017/S2040470017001054

Madsen, S. L., Laursen, M. S., Poulsen, R. N. & Nyholm Jørgensen, R. (2017). RoboWeedSupport: Semi-automated Unmanned Aerial System for Cost Efficient High Resolution in Sub-millimeter Scale Acquisition of Weed Images. I 19th International Conference on Precision Agriculture: ICPA 2017

Laursen, M. S., Nyholm Jørgensen, R., Dyrmann, M. & Poulsen, R. (2017). RoboWeedSupport - Sub Millimeter Weed Image Acquisition in Cereal Crops with Speeds up till 50 Km/h. International Journal of Agricultural and Biosystems Engineering, 11(4), 311-315. http://waset.org/publications/10007027/roboweedsupport-sub-millimeter-weed-image-acquisition-in-cereal-crops-with-speeds-up-till-50-km-h

Laursen, M. S., Nyholm Jørgensen, R., Dyrmann, M. & Poulsen, R. (2017). RoboWeedSupport: Sub Millimeter Weed Image Acquisition in Cereal Crops with Speeds up till 50 Km/h. World Academy of Science, Engineering and Technology. Proceedings, 4(4), 1391. https://www.waset.org/abstracts?q=Mads%20Dyrmann

Khalid, S. S., Rehman, N. U. & Abrar, S. (2017). Robust stochastic integration filtering for nonlinear systems under multivariate t -distributed uncertainties. Signal Processing, 140, 53-59. https://doi.org/10.1016/j.sigpro.2017.05.007

Zahra, A., Kanwal, N., Rehman, N. U., Ehsan, S. & McDonald-Maier, K. D. (2017). Seizure detection from EEG signals using Multivariate Empirical Mode Decomposition. Computers in Biology and Medicine, 88, 132-141. https://doi.org/10.1016/j.compbiomed.2017.07.010

Naveed, K., Shaukat, B. & Rehman, N. U. (2017). Signal denoising based on dual tree complex wavelet transform and goodness of fit test. I 2017 22nd International Conference on Digital Signal Processing (DSP) IEEE. https://doi.org/10.1109/icdsp.2017.8096067

Fu, C., Sarabakha, A., Kayacan, E., Wagner, C., John, R. & Garibaldi, J. M. (2017). Similarity-based Non-Singleton Fuzzy Logic Control for Improved Uncertainty Handling in Quadrotor UAVs. I Fuzzy Systems (FUZZ-IEEE), 2017 IEEE International Conference on (s. 1-6). IEEE. https://doi.org/10.1109/FUZZ-IEEE.2017.8015440

Hein, A., Larsen, J. J. & D. Parsekian, A. (2017). Symmetry based frequency domain processing to remove harmonic noise from surface nuclear magnetic resonance measurements. Geophysical Journal International, 208(2), 724-736. https://doi.org/10.1093/gji/ggw433

Sørensen, R. A., Rasmussen, J., Nielsen, J. & Nyholm Jørgensen, R. (2017). Thistle detection using convolutional neural networks: EFITA 2017 Presentation. Billeder, Video- og Lydoptagelser (digital), YouTube. https://www.youtube.com/watch?v=_G_xLchBOl4

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

Duan, R., Fu, C. & Kayacan, E. (2017). Tracking-Recommendation-Detection. Engineering Applications of Artificial Intelligence, 64, 128-139. https://doi.org/10.1016/j.engappai.2017.05.012

Duan, R., Fu, C. & Kayacan, E. (2017). Tracking-Recommendation-Detection. Billeder, Video- og Lydoptagelser (digital), YouTube. https://www.youtube.com/watch?v=L3XjGvsy4BA

Liu, L., Yan, R.-J., Maruvanchery, V., Kayacan, E., Chen, I.-M. & Kong Tiong, L. (2017). Transfer learning on convolutional activation feature as applied to a building quality assessment robot. International Journal of Advanced Robotic Systems, 14(3), 1-12. https://doi.org/10.1177/1729881417712620

Lausdahl, K. G., Bjerge, K., Bokhove, T., Groen, F. & Larsen, P. G. (2017). Transitioning from Crescendo to INTO-CPS. I J. S. Fitzgerald, P. W. V. Tran-Jørgensen & T. Oda (red.), The 15th Overture Workshop: New Capabilities and Applications for Model-based Systems Engineering: Proceedings (s. 16-30). Newcastle University.

Rehman, N. U., Abbas, S. Z., Asif, A., Javed, A., Naveed, K. & Mandic, D. P. (2017). Translation invariant multi-scale signal denoising based on goodness-of-fit tests. Signal Processing, 131, 220-234. https://doi.org/10.1016/j.sigpro.2016.08.019

Kayacan, E. & Maslim, R. (2017). Type-2 Fuzzy Logic Trajectory Tracking Control of Quadrotor VTOL Aircraft With Elliptic Membership Functions. IEEE - ASME Transactions on Mechatronics, 22(1), 339-348. https://doi.org/10.1109/TMECH.2016.2614672

Christiansen, M. P., Nyholm Jørgensen, R., Laursen, M. S. & Gislum, R. (2017). UAV LIDAR biomass estimation/Using Sentinel-1 to estimate yield potential. Poster-session præsenteret på DIGIT, Aarhus, Danmark.

Kragh, M. F., Bjerge, K. & Ahrendt, P. (2016). 3D impurity inspection of cylindrical transparent containers. Measurement Science and Technology, 28(1), Artikel 017002 . https://doi.org/10.1088/1361-6501/28/1/017002

Fu, C., Sarabakha, A. & Kayacan, E. (2016). A Comparative Study on the Control of Quadcopter UAVs by using Singleton and Non-Singleton Fuzzy Logic Controllers. I 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016 (s. 1023-1030). Artikel 7737800 IEEE. https://doi.org/10.1109/FUZZ-IEEE.2016.7737800

Hussain, S., Qi, C., Asif, M. R. & Sohrab Khan, M. (2016). Active Contours for image segmentation using complex domain-based approach. IET Image Processing, 10(2), 121-129. https://doi.org/10.1049/iet-ipr.2014.0730

Govdeli, Y., Wei Wong, Z. & Kayacan, E. (2016). ADDITIVE MANUFACTURING OF UNMANNED AERIAL VEHICLES: CURRENT STATUS, RECENT ADVANCES, AND FUTURE PERSPECTIVES. I C. K. Chua, W. Y. Yeong, M. J. Tan, E. Liu & S. B. Tor (red.), Proc. of the 2nd Intl. Conf. on Progress in Additive Manufacturing (s. 39-48). Research Publishing, Singapore. https://dr.ntu.edu.sg/bitstream/handle/10220/41825/Additive%20Manufacturing%20of%20Unmanned%20Aerial%20Vehicles-Current%20Status%2C%20Recent%20Advances%2C%20and%20Future%20Perspectives.pdf?sequence=1&isAllowed=y

Ehsan, S., Clark, A., Leonardis, A., Rehman, N. U., Khaliq, A., Fasli, M. & McDonald-Maier, K. (2016). A Generic Framework for Assessing the Performance Bounds of Image Feature Detectors. Remote Sensing, 8(11), 928. https://doi.org/10.3390/rs8110928

Christiansen, M. P., Larsen, P. G. & Nyholm Jørgensen, R. (2016). Agricultural robotic candidate overview using co-model driven development. I A. G. Bruzzone, S. Junco, G. Dauphin-Tanguy & Y. Merkuryev (red.), 9th International Conference on Integrated Modeling and Analysis in Applied Control and Automation, IMAACA 2016: IMAACA 2016 (s. 41-48). Artikel IMAACA_10 Dime University of Genoa. https://www.msc-les.org/proceedings/imaaca/2016/IMAACA2016_41.pdf

Khan, N., Baig, F., Nawaz, S., Rehman, N. U. & Sharma, S. (2016). Analysis of Power Quality Signals Using an Adaptive Time-Frequency Distribution. Energies, 9(11), 933. https://doi.org/10.3390/en9110933

Prach, A., Kayacan, E. & S. Bernstein, D. (2016). An Experimental Evaluation of the Forward Propagating Riccati Equation to Nonlinear Control of the Quanser 3 DOF Hover Testbed. I 2016 American Control Conference, ACC 2016 (s. 3710-3715). Artikel 7525490 IEEE. https://doi.org/10.1109/ACC.2016.7525490

Miranda, J., Cabral, J., Wagner, S. R., Pedersen, C. F., Ravelo, B., Memon, M. & Mathiesen, M. (2016). An Open Platform for Seamless Sensor Support in Healthcare for the Internet of Things. Sensors, 16(12), Artikel 2089. https://doi.org/10.3390/s16122089

Yan, R.-J., Wu, J., Yeung Lee, J., Manan Khan, A., Han, C.-S., Kayacan, E. & Chen, I.-M. (2016). A Novel Method for 3D Reconstruction: Division and Merging of Overlapping B-spline surfaces. Computer-Aided Design, 81, 14-23. https://doi.org/10.1016/j.cad.2016.08.007

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Revideret 10.08.2023

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