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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Kayacan, E., Kayacan, E., Ramon, H. & Saeys, W. (2014). Robust Tube-based Decentralized Nonlinear Model Predictive Control of an Autonomous Tractor-Trailer System. IEEE - ASME Transactions on Mechatronics, 20(1), 447-456. https://doi.org/10.1109/TMECH.2014.2334612

Kayacan, E., Kayacan, E., Ramon, H., Kaynak, O. & Saeys, W. (2014). Towards Agrobots: Trajectory Control of an Autonomous Tractor Using Type-2 Fuzzy Logic Controllers. IEEE - ASME Transactions on Mechatronics, 20(1), 287-298. https://doi.org/10.1109/TMECH.2013.2291874

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

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

Kayacan, E., Kayacan, E., Ramon, H. & Saeys, W. (2015). Towards agrobots: Identification of the yaw dynamics and trajectory tracking of an autonomous tractor. Computers and Electronics in Agriculture, 115, 78-87. https://doi.org/10.1016/j.compag.2015.05.012

Rubio Hervas, J., Reyhanoglu, M., Tang, H. & Kayacan, E. (2015). Nonlinear control of fixed-wing UAVs in presence of stochastic winds. Communications in Nonlinear Science and Numerical Simulation, 33, 57-69. https://doi.org/10.1016/j.cnsns.2015.08.026

Thanh Nguyen, T., Vandevoorde, K., Wouters, N., Kayacan, E., G. de Baerdemaeker, J. & Saeys, W. (2016). Detection of red and bicoloured apples on tree with an RGB-D camera. Biosystems Engineering, 146, 33-44. https://doi.org/10.1016/j.biosystemseng.2016.01.007

Hassan, S., Ahmadieh Khanesar, M., Kayacan, E., jaafar, J. & Khosravi, A. (2016). Optimal design of adaptive type-2 neuro-fuzzy systems: A review. Applied Soft Computing, 44, 134-143. https://doi.org/10.1016/j.asoc.2016.03.023

Fu, C., Duan, R., Kircali, D. & Kayacan, E. (2016). Onboard Robust Visual Tracking for UAVs Using a Reliable Global-Local Object Model. Sensors, 16(9), Article 1406. https://doi.org/10.3390/s16091406

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

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, Article 5402809. https://doi.org/doi.org/10.1155/2017/5402809

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

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.

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

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

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

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

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

Prach, A. & Kayacan, E. (2018). An MPC-based Position Controller for a Tilt-Rotor Tricopter VTOL UAV. Optimal Control, Applications and Methods, 39(1), 343-356. https://doi.org/10.1002/oca.2350

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

Kayacan, E., Sarabakha, A., Coupland, S., John, R. & Ahmadieh Khanesar, M. (2018). Type-2 Fuzzy Elliptic Membership Functions for Modeling Uncertainty. Engineering Applications of Artificial Intelligence, 70, 170-183. https://doi.org/10.1016/j.engappai.2018.02.004

Sarabakha, A., Fu, C., Kayacan, E. & Kumbasar, T. (2018). Type-2 Fuzzy Logic Controllers Made Even Simpler: From Design to Deployment in Real-Time for Quadcopter UAVs. IEEE Transactions on Industrial Electronics, 65(6), 5069-5077. https://doi.org/10.1109/TIE.2017.2767546

Sarabakha, A., Fu, C., Kayacan, E. & Kumbasar, T. (2016). Type-2 Fuzzy Logic Controllers Made Even Simpler: From Design to Deployment in Real-Time for Quadcopter UAVs. Pictures, Video and sound recordings (digital), YouTube. https://www.youtube.com/watch?v=Hz3f8N-30dg

Camci, E., Raju Kripalani, D., Ma, L., Kayacan, E. & Ahmadieh Khanesar, M. (2018). An Aerial Robot for Rice Farm Quality Inspection With Type-2 Fuzzy Neural Networks Tuned by Particle Swarm Optimization-Sliding Mode Control Hybrid Algorithm. Swarm and Evolutionary Computation, 41, 1-8. https://doi.org/10.1016/j.swevo.2017.10.003

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

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

Ahmadieh Khanesar, M. & Kayacan, E. (2015). Controlling the Pitch and Yaw Angles of a 2-DOF Helicopter Using Interval Type-2 Fuzzy Neural Networks. In X. Yu & M. Önder Efe (Eds.), Recent Advances in Sliding Modes: From Control to Intelligent Mechatronics (pp. 349 - 370). Springer. https://doi.org/10.1007/978-3-319-18290-2

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

Kayacan, E., Kayacan, E., Chen, I.-M., Ramon, H. & Saeys, W. (2018). On The Comparison of Model-Based and Model-Free Controllers in Guidance, Navigation and Control of Agricultural Vehicles. In R. John, H. Hagras & O. Castillo (Eds.), Studies in Fuzziness and Soft Computing (Vol. 362, pp. 49-73). Springer. https://doi.org/10.1007/978-3-319-72892-6_3

Mehndiratta, M., Kayacan, E., Patel, S., Kayacan, E. & Chowdhary, G. (2019). Learning-based Fast Nonlinear Model Predictive Control for Custom-made 3D Printed Ground and Aerial Robots. In S. V. Rakovic & W. Levine (Eds.), Handbook of Model Predictive Control (1 ed., pp. 581-605). Birkhäuser Verlag. https://doi.org/10.1007/978-3-319-77489-3_24

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

Dyrmann, M., Skovsen, S., Sørensen, R. A., Nielsen, P. R. & Nyholm Jørgensen, R. (2018). Using a fully convolutional neural network for detecting locations of weeds in images from cereal fields. Abstract from International Conference on Precision Agriculture, Montréal, Quebec, Canada.

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), Article 28. https://doi.org/10.3389/frobt.2018.00028

Nyholm Jørgensen, R., Laursen, M. S. & Therkildsen, O. R., (2018). Teknologier til understøttelse af vildtvenlig høst med henblik på at reducere høstdrab samt skader på fugle og pattedyr, No. Journal 2017-760-000470, 9 p., Mar 07, 2018.

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

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

Olesen, C. R., Nyholm Jørgensen, R., Laursen, M. S., Larsen, R. & Rosendahl Bjorholm, S. (2017, Jun 1). Droner og losurin. Danmarks Jægerforbund. http://www.jaegerforbundet.dk/om-dj/nyhedsarkiv/2017/droner-og-losurin/

Teimouri, N., Omid, M., Mollazade, K., Mousazadeh, H., Alimardani, R. & Karstoft, H. (2018). On-line separation and sorting of chicken portions using a robust vision-based intelligent modelling approach. Biosystems Engineering, 167, 8-20. https://doi.org/10.1016/j.biosystemseng.2017.12.009

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 presented at SAGEEP 2017, Denver, United States.

Ma, X., J. Hegarty, P., Abildgaard Pedersen, J., Johansen, L. G. & Larsen, J. J. (2017). Assessing the Influence of Loudspeaker Driver Nonlinear Distortion on Personal Sound Zones. In 142nd Audio Engineering Society International Convention 2017 (Vol. 2, pp. 1019-1026). Article 9807 Audio Engineering Society . http://www.aes.org/e-lib/browse.cfm?elib=18681

Liu, L., Grombacher, D. J., Auken, E. & Larsen, J. J. (2018). Removal of Co-Frequency Powerline Harmonics From Multichannel Surface NMR Data. IEEE Geoscience and Remote Sensing Letters, 15(1), 53-57. https://doi.org/10.1109/LGRS.2017.2772790

Larsen, J. J., Liu, L., Grombacher, D. J. & Auken, E. (2018). Removal of Co-frequency Powerline Harmonics from Multichannel Surface NMR Data. In 23rd European Meeting of Environmental and Engineering Geophysics 2017 (Vol. 15, pp. 53-57). European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.201702040

Liu, L., Grombacher, D. J., Auken, E. & Larsen, J. J. (2017). A Multichannel, Low Noise Surface NMR Receiver System with Wireless Connections to Signal and Reference Coils. In 23rd European Meeting of Environmental and Engineering Geophysics European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.201702012

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

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

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), Article 59. https://doi.org/10.3390/jimaging3040059

Christiansen, M. P., Laursen, M. S., Nyholm Jørgensen, R., Skovsen, S. & Gislum, R. (2017). Designing and Testing a UAV Mapping System for Agricultural Field Surveying. Sensors, 17(12), Article 2703. https://doi.org/10.3390/s17122703

Giselsson, T. M., Nyholm Jørgensen, R., Jensen, P. K., Dyrmann, M. & Midtiby, H. S. (2017). A Public Image Database for Benchmark of Plant Seedling Classification Algorithms. arxiv.org. https://arxiv.org/pdf/1711.05458

Nyholm Jørgensen, R. & Skovsen, S. (2017). Automatisk kløvergræsestimering. Pictures, Video and sound recordings (digital), YouTube. https://www.youtube.com/watch?v=Kx_8ku90XO4&t=955s

Nyholm Jørgensen, R. & Dyrmann, M. (2017). Automatisk genkendelse af ukrudt. Pictures, Video and sound recordings (digital), YouTube. https://www.youtube.com/watch?v=xw9p3S-GZG8&t=794s

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Revised 10.08.2023

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