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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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

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

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

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

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

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

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. & 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

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

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

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

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

Rydahl, P., Bojer, O. M., Jorgensen, R. N., Dyrmann, M., Andersen, P., Jensen, N. & Sorensen, M. (2018). Spatial variability of optimized herbicide mixtures and dosages. I Proceedings 14th International Conference on Precision Agriculture (ICPA2018) (s. 1-14). Artikel 5040 International Society of Precision Agriculture. https://www.ispag.org/proceedings/?action=abstractid=5040

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

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

Tran, D. T., Magris, M., Kanniainen, J., Gabbouj, M. & Iosifidis, A. (2018). Tensor representation in high-frequency financial data for price change prediction. I 2017 IEEE Symposium Series on Computational Intelligence: SSCI 2017 - Proceedings (Bind 2017, s. 1-7). IEEE. https://doi.org/10.1109/SSCI.2017.8280812

Tran, D. T., Iosifidis, A. & Gabbouj, M. (2018). Improving efficiency in convolutional neural networks with multilinear filters. Neural Networks, 105, 328-339. https://doi.org/10.1016/j.neunet.2018.05.017

Imanberdiyev, N. & Kayacan, E. (2019). A fast learning control strategy for unmanned aerial manipulators. Journal of Intelligent and Robotic Systems, 94(3-4), 805-824. https://doi.org/10.1007/s10846-018-0884-7

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

Yan, R. J., Kayacan, E., Chen, I. M., Tiong, L. K. & Wu, J. (2019). QuicaBot: Quality Inspection and Assessment Robot. IEEE Transactions on Automation Science and Engineering, 16(2), 506-517. https://doi.org/10.1109/TASE.2018.2829927

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.

Kayacan, E. & Kaynak, O. (2006). Gri Bulanik PID Denetleyici Tasarimi ve Dogrusal Olmayan Sivi Seviye Sistemine Uygulanmasi. I TOK 2006 - Otomatik Kontrol Ulusal Toplantisi (s. 16-21)

Oniz, Y., Kayacan, E. & Kaynak, O. (2007). Kilitlenmeyen Fren Sistemi (KFS) icin Gri Kayma Kipli Denetleyici Tasarimi. I TOK 2007 - Otomatik Kontrol Ulusal Toplantisi (s. 506-511)

Kayacan, E., Ulutas, B., Buyuksalvarci, A. & Kaynak, O. (2007). Gri Sistem Kurami ve Finansman Uygulamalari:IMKB Ornegi. I UFS 2007 - 11. Ulusal Finans Sempozyumu (s. 215-229) http://www.academia.edu/2695567/GR%C4%B0_S%C4%B0STEM_KURAMI_VE_F%C4%B0NANSMAN_UYGULAMALARI_%C4%B0MKB_%C3%96RNE%C4%9E%C4%B0

Kayacan, E., Oniz, Y., Kaynak, O. & V. Topalev, A. (2008). Kilitlenmeyen Fren Sistemi (KFS)’nin Gri cok Katmanli Ileri Beslemeli Yapay Sinir Aglari ile Uyarlamali Kontrolu. I TOK 2008 Otomatik Kontrol Ulusal Toplantisi (s. 453-458)

Kayacan, E., Kayacan, E., Ramon, H. & Saeys, W. (2012). Model Predictive Control of the Yaw Dynamics of an Autonomous Tractor. I A. Peruzzi (red.), : Proceedings of the First International Conference on Robotics and Associated High-technologies and Equipment for Agriculture. Applications of automated systems and robotics for crop protection in sustainable precision agriculture (s. 157-162). University of Pisa.

D. Nona, K., Kayacan, E. & Saeys, W. (2013). Compression Modeling in the Large Square Baler. I 71st International Conference on Agricultural Engineering 2013 (s. 1-6) https://lirias.kuleuven.be/bitstream/123456789/424705/2/AgEng2013_CompressionModeling.pdf

Van Beers, R., Gutierrez, L. L., Schenk, A., Nicolai, B., Kayacan, E. & Saeys, W. (2014). Optical measurement techniques for the ripeness determination of Braeburn apples. I Proceedings International Conference of Agricultural Engineering (s. 1-7) http://www.geyseco.es/geystiona/adjs/comunicaciones/304/C02000001.pdf

Thanh Nguyen, T., Keresztes, J., Vandevoorde, K., Kayacan, E., G. de Baerdemaeker, J. & Saeys, W. (2014). Apple detection algorithm for robotic harvesting using a RGB-D camera. I Proceedings International Conference of Agricultural Engineering (s. 1-8) https://pdfs.semanticscholar.org/d294/58c25c8bde8492c15eacb96c871c2030f2c5.pdf

baran, E. A., Zhakypov, Z., Kayacan, E. & Sabanovic, A. (2014). Uzaktan Lazer Cerrahi İçin Kısıtlı Sistem Tabanlı Efendi Köle Denetleyicisi. I TOK 2014 (s. 675-680) http://research.sabanciuniv.edu/24776/1/2014_RA417_TOK2014_Eray_205.pdf

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

Kayacan, E. & Kaynak, O. (2006). Grey Prediction Based Control of a Non-Linear Liquid Level System Using PID Type Fuzzy Controller. I Mechatronics, 2006 IEEE International Conference on (s. 292-296). IEEE . https://doi.org/10.1109/ICMECH.2006.252541

Kayacan, E. & Kaynak, O. (2006). An Adaptive Grey Fuzzy PID Controller With Variable Prediction Horizon. I SCIS&ISIS2006 (s. 760-765) http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=F41AB2B31754039859E731BD9BA145A3?doi=10.1.1.162.1218&rep=rep1&type=pdf

Oniz, Y., Kayacan, E. & Kaynak, O. (2007). A Grey Sliding Mode Controller Design for Antilock Braking System. I ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (s. 1-8). American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/DETC2007-34563

Oniz, Y., Kayacan, E. & Kaynak, O. (2008). Simulated and Experimental Study of Antilock Braking System Using Grey Sliding Mode Control. I Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on (s. 90-95). IEEE . https://doi.org/10.1109/ICSMC.2007.4413975

Kayacan, E., Oniz, Y., Kaynak, O. & V. Topalev, A. (2008). Adaptive Control of Antilock Braking System Using Grey Multilayer Feedforward Neural Networks. I Machine Learning and Applications, 2008. ICMLA '08. Seventh International Conference on (s. 356-361). IEEE . https://doi.org/10.1109/ICMLA.2008.15

V. Topalev, A., Kayacan, E., Oniz, Y. & Kaynak, O. (2009). Adaptive Neuro-Fuzzy Control with Sliding Mode Learning Algorithm: Application to Antilock Braking System. I Asian Control Conference, 2009. ASCC 2009. 7th (s. 784-789). IEEE . https://ieeexplore.ieee.org/document/5276234/

V. Topalev, A., Kayacan, E., Oniz, Y. & Kaynak, O. (2009). Neuro-Fuzzy Control of Antilock Braking System Using Variable-Structure-Systems-based Learning Algorithm. I Adaptive and Intelligent Systems, 2009. ICAIS '09. International Conference on (s. 166-171). IEEE . https://doi.org/10.1109/ICAIS.2009.35

Cisel Aras, A., Kayacan, E., Oniz, Y., Kaynak, O. & H. Abiyev, R. (2010). An Adaptive Neuro-Fuzzy Architecture for Intelligent Control of a Servo System and its Experimental Evaluation. I Industrial Electronics (ISIE), 2010 IEEE International Symposium on (s. 68-73). IEEE . https://doi.org/10.1109/ISIE.2010.5637706

Kayacan, E., Kaynak, O., H. Abiyev, R., Tørresen, J., Høvin, M. & Glette, K. (2010). Design of an Adaptive Interval Type-2 Fuzzy Logic Controller for the Position Control of a Servo System with an Intelligent Sensor. I Fuzzy Systems (FUZZ), 2010 IEEE International Conference on (s. 1125-1132). IEEE . https://doi.org/10.1109/FUZZY.2010.5584629

V. Topalev, A., G. Shakev, N., Kaynak, O. & Kayacan, E. (2010). Neuro-adaptive Approach for Controlling a Quad-rotor Helicopter Using Sliding Mode Learning Algorithm. I IFAC Proceedings Volumes (10 udg., Bind 43, s. 94-99). Elsevier. https://doi.org/10.3182/20100826-3-TR-4015.00020

Oniz, Y., Kayacan, E., Cisel Aras, A., Kaynak, O. & H. Abiyev, R. (2010). A servo system control with time-varying load using type-2 fuzzy neural system, I IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society (s. 35-40). IEEE. https://doi.org/10.1109/IECON.2010.5675372

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AU Engineering