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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Karimi, H., Skovsen, S., Dyrmann, M. & Nyholm Jørgensen, R. (2018). A Novel Locating System for Cereal Plant Stem Emerging Points’ Detection Using a Convolutional Neural Network. Sensors, 18 (5), Artikel 1611. https://doi.org/10.3390/s18051611

Cowan, B., Fu, C., Imanberdiyev, N., Dong, Y. & Kayacan, E. (2018). A Performance Evaluation of Methods for Visual Tracking. I The 14th International Conference on Control, Automation, Robotics and Vision (s. 1-6). IEEE.

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.

Malekian, R., Thakur, A., Nair, L. & Pedersen, C. F. (2018). A Sensor Based Peer to Peer Vehicle Data Sharing System, An Internet of Vehicles Approach. Journal of Internet Technology, 19(7), 2155-2162. http://jit.niu.edu.tw/article/view/1865

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., 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

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., 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

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#

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

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

Nyholm Jørgensen, R. & Christiansen, M. P. (2018). Demonstration of plant labs web explorer combined with data from Danish field boundaries. Billeder, Video- og Lydoptagelser (digital), YouTube. https://www.youtube.com/watch?v=ExlN0XrIx7E

Naveed, K., Shaukat, B. & Rehman, N. U. (2018). Dual tree complex wavelet transform-based signal denoising method exploiting neighbourhood dependencies and goodness-of-fit test. Royal Society Open Science, 5(9), 180436. https://doi.org/10.1098/rsos.180436

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. Billeder, Video- og Lydoptagelser (digital)

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

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

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

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

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

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

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

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

Kayacan, E. & Kaynak, O. (2018). Hata Artıklarını Kullanarak Gri Modellerin Duzeltilmesi: Error Modification of Grey Models using Principle of Concatenation. I SIU2010 - IEEE 18.Sinyal isleme ve iletisim uygulamalari kurultayi - Diyarbakir (s. 77-80) https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=5649067

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

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

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.

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

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

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

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

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

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

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

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

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

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

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. I R. John, H. Hagras & O. Castillo (red.), Studies in Fuzziness and Soft Computing (Bind 362, s. 49-73). Springer. https://doi.org/10.1007/978-3-319-72892-6_3

Ferrarini, B., Ehsan, S., Leonardis, A., Rehman, N. U. & McDonald-Maier, K. D. (2018). Performance Characterization of Image Feature Detectors in Relation to the Scene Content Utilizing a Large Image Database. IEEE Access, 6, 8564-8573. https://doi.org/10.1109/access.2018.2795460

Grombacher, D., Liu, L., Larsen, J. J. & Auken, E. (2018). Practical considerations for small receive coils in surface NMR. Journal of Applied Geophysics, 154, 81-92. https://doi.org/10.1016/j.jappgeo.2018.04.005

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

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

Rafiei Foroushani, M., Niknam, T., Aghaei, J., Shafie-khah, M. & P.S.Catalão, J. (2018). Probabilistic Load Forecasting Using an Improved Wavelet Neural Network Trained by Generalized Extreme Learning Machine. IEEE Transactions on Smart Grid, 9(6), 6961 - 6971. Artikel 8298533. https://doi.org/10.1109/TSG.2018.2807845

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

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

Larsen, J. J., Liu, L., Grombacher, D. J. & Auken, E. (2018). Removal of Co-frequency Powerline Harmonics from Multichannel Surface NMR Data. I 23rd European Meeting of Environmental and Engineering Geophysics 2017 (Bind 15, s. 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. (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

Khalid, S. S., Rehman, N. U., Abrar, S. & Mihaylova, L. (2018). Robust Bayesian Filtering Using Bayesian Model Averaging and Restricted Variational Bayes. I 2018 21st International Conference on Information Fusion (FUSION) IEEE. https://doi.org/10.23919/icif.2018.8455608

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

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

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

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Revideret 10.08.2023

AU Engineering