Institut for Elektro- og Computerteknologi

Aarhus Universitets segl

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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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
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
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
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
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)
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
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
Nyholm Jørgensen, R., Laursen, M. S. & Therkildsen, O. R., (2018). Tekniske metoder til at detektere fugle og reder og reducere risiko for at de dræbes eller skades ved høst, Nr. 2018-760-000730, 3 s., maj 14, 2018.
Teimouri, N., Dyrmann, M., Nielsen, P. R., Mathiassen, S. K., Somerville, G. J. & Jørgensen, R. N. (2018). Weed Growth Stage Estimator Using Deep Convolutional Neural Networks. Sensors, 18(5), Artikel 1580. https://doi.org/10.3390/s18051580
Therkildsen, O. R. & Nyholm Jørgensen, R. (2018). Vildtvenlige Og Simple Høststrategier kan Reducere Høstdrab. Danske Maelkeproducenter, (2), 38-39.
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
Sarabakha, A. & Kayacan, E. (2016). Y6 tricopter autonomous evacuation in an Indoor Environment using Q-learning algorithm. I 2016 IEEE 55th Conference on Decision and Control, CDC 2016 (s. 5992-5997). Artikel 7799189 IEEE . https://doi.org/10.1109/CDC.2016.7799189
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). Artikel 8015440 IEEE. https://doi.org/10.1109/FUZZ-IEEE.2017.8015440
Sarabakha, A., Fu, C. & Kayacan, E. (2017). Double-Input Interval Type-2 Fuzzy Logic Controllers: Analysis and Design. I 2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017 (s. 1-6). Artikel 8015485 IEEE . https://doi.org/10.1109/FUZZ-IEEE.2017.8015485
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
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. Billeder, Video- og Lydoptagelser (digital), YouTube. https://www.youtube.com/watch?v=Hz3f8N-30dg
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://doi.org/10.1109/TMECH.2018.2810947
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 fra 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), Artikel 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, Nr. Journal 2017-760-000470, 9 s., 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 præsenteret på SAGEEP 2017, Denver, USA.
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. I 142nd Audio Engineering Society International Convention 2017 (Bind 2, s. 1019-1026). Artikel 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. 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. (2017). A Multichannel, Low Noise Surface NMR Receiver System with Wireless Connections to Signal and Reference Coils. I 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), Artikel 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), Artikel 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), Artikel 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. Billeder, Video- og Lydoptagelser (digital), YouTube. https://www.youtube.com/watch?v=Kx_8ku90XO4&t=955s
Nyholm Jørgensen, R. & Dyrmann, M. (2017). Automatisk genkendelse af ukrudt. Billeder, Video- og Lydoptagelser (digital), YouTube. https://www.youtube.com/watch?v=xw9p3S-GZG8&t=794s
Nyholm Jørgensen, R. (2017). Metatilgangen til Deep Learning. Billeder, Video- og Lydoptagelser (digital), YouTube. https://www.youtube.com/watch?v=moLU3QvWIRM&t=355s
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
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.
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. https://doi.org/10.3966/160792642018121907018
Miranda, J., Cabral, J., Banerjee, S., Grossmann, D., Pedersen, C. F. & Wagner, S. R. (2017). Analysis of OPC Unified Architecture for Healthcare Applications. I 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2017: EFTA 2017 (s. 1-4). IEEE. https://doi.org/10.1109/ETFA.2017.8247771
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., 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), Artikel 2579. https://doi.org/10.3390/s17112579
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)
Rasmussen, S., Nyboe, S. N., Mai, S. S. & Larsen, J. J. (2017). A Robust Framework for Cancellation of MSK Interference in TEM Data. I 2nd European Airborne Electromagnetics Conference 2017, Held at Near Surface Geoscience Conference and Exhibition 2017 (s. 121-125). European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.201702172
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
Dyrmann, M., Nyholm Jørgensen, R. & Midtiby, H. S. (2017). Detection of weed locations in leaf occluded cereal crops using a fully convolutional neural network. Advances in Animal Biosciences, 8(2), 842-847. https://doi.org/10.1017/S2040470017000206

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