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Department of Electrical and Computer Engineering

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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Cigdem, O., Kayacan, E., Ahmadieh Khanesar, M., Kaynak, O. & Teshnelab, M. (2011). A Novel Training Method Based-on Variable Structure Systems Theory for Fuzzy Neural Networks. In Computational Intelligence in Control and Automation (CICA), 2011 IEEE Symposium on (pp. 44-51). IEEE . https://doi.org/10.1109/CICA.2011.5945757

Kayacan, E., Cigdem, O. & Kaynak, O. (2011). A Novel Training Method Based-on Variable Structure Systems Approach for Interval Type-2 Fuzzy Neural Networks. In Advances in Type-2 Fuzzy Logic Systems (T2FUZZ), 2011 IEEE Symposium on (pp. 142-149). IEEE. https://doi.org/10.1109/T2FUZZ.2011.5949557

Teimouri, N., Dyrmann, M. & Nyholm Jørgensen, R. (2019). A novel spatio-temporal FCN-LSTM Network for Recognizing Various Crop Types Using Multi-Temporal Radar Images. Remote Sensing, 11(8), Article 990. https://doi.org/10.3390/rs11080990

He, S., Cai, H., Christiansen, A. V. & Asif, M. R. (2023). A Novel Normalization Method of Transient Electromagnetic Data for Efficient Neural Network Training. Paper presented at NSG2023 29th European Meeting of Environmental and Engineering Geophysics, Edinburgh , United Kingdom. https://doi.org/10.3997/2214-4609.202320125

Naveed, K. & Rehman, N. U. (2021). A Novel Multivariate Goodness-of-Fit Test based on Mahalanobis Distance and Its Application in Denoising. In 29th European Signal Processing Conference, EUSIPCO 2021 - Proceedings (pp. 2050-2054). IEEE. https://doi.org/10.23919/eusipco54536.2021.9616193

Kappel, S., Rathleff, M. S., Hermann, D., Simonsen, O., Karstoft, H. & Ahrendt, P. (2012). A Novel Method for Measuring In-Shoe Navicular Drop during Gait. Sensors, 12(9), 11697-711. https://doi.org/10.3390/s120911697

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

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), Article 1611. https://doi.org/10.3390/s18051611

Ahmadieh Khanesar, M. & Kayacan, E. (2017). A Novel Complexity Reduced Levenberge-Marquardt Optimization Algorithm: Application to the Training of Interval Type-2 Fuzzy Systems. In FUZZ-IEEE 2017 (pp. 1-6). IEEE.

Yan, R.-J., Kayacan, E., Chen, I.-M. & Kong Tiong, L. (2017). A novel building post-construction quality assessment robot: Design and prototyping. In IROS 2017 - IEEE/RSJ International Conference on Intelligent Robots and Systems (pp. 6020-6026). Article 8206499 IEEE. https://doi.org/10.1109/IROS.2017.8206499

Guruge, P., Bahadir Kocer, B. & Kayacan, E. (2015). A Novel Automatic UAV Launcher Design by Using Bluetooth Low Energy Integrated Electromagnetic Releasing System. In Humanitarian Technology Conference (R10-HTC), 2015 IEEE Region 10 (pp. 1-4). IEEE. https://doi.org/10.1109/R10-HTC.2015.7391861

Rafiei Foroushani, M., Khooban, M. H., Afshari-Igder, M. & Boudjadar, J. (2020). A Novel Approach to Overcome the Limitations of Reliability Centered Maintenance Implementation on the Smart Grid Distance Protection System. IEEE Transactions on Circuits and Systems II: Express Briefs, 67(2), 320-324. Article 8668570. https://doi.org/10.1109/TCSII.2019.2905639

Khare, S. K., McLachlan, P., Maurya, P. K. & Larsen, J. J. (2024). An optimized and hybrid gating scheme for the suppression of very low-frequency radios in transient electromagnetic systems. Geoscientific Instrumentation, Methods and Data Systems, 13(1), 27-41. https://doi.org/10.5194/gi-13-27-2024

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), Article 2089. https://doi.org/10.3390/s16122089

Ahmadieh Khanesar, M., Kayacan, E., Kaynak, O. & Teshnelab, M. (2011). An Online Training Algorithm Based on the Fusion of Sliding Mode Control Theory and Fuzzy Neural Networks with Triangular Membership Functions. In Control Conference (ASCC), 2011 8th Asian (pp. 617-622). IEEE . https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5899143

Liu, Z., Liang, J., Zhang, S. & Kayacan, E. (2022). ANN-Based vibration control of an aerial refueling hose system with input nonlinearity and prescribed output constraint. Journal of the Franklin Institute, 359(6), 2627-2645. https://doi.org/10.1016/j.jfranklin.2022.01.006

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

Grombacher, D., Griffiths, M. P., Kass, M. A. & Larsen, J. J. (2024). An investigation of factors affecting the depths of steady-state surface nuclear magnetic resonance signals. Geophysics, 89(2), J9-J17. https://doi.org/10.1190/geo2023-0068.1

Patel, S., Sarabakha, A., Kircali, D. & Kayacan, E. (2020). An Intelligent Hybrid Artificial Neural Network-Based Approach for Control of Aerial Robots. Journal of Intelligent and Robotic Systems: Theory and Applications, 97(2), 387-398. https://doi.org/10.1007/s10846-019-01031-z

Farsizadeh, H., Gheisarnejad, M., Mosayebi, M., Rafiei Foroushani, M. & Khooban, M. H. (2020). An Intelligent and Fast Controller for DC/DC Converter Feeding CPL in a DC Microgrid. IEEE Transactions on Circuits and Systems II: Express Briefs, 67(6), 1104-1108. Article 8764402. https://doi.org/10.1109/TCSII.2019.2928814

Khawaja, A., Khan, T. M., Naveed, K., Naqvi, S. S., Rehman, N. U. & Nawaz, S. J. (2019). An Improved Retinal Vessel Segmentation Framework Using Frangi Filter Coupled With the Probabilistic Patch Based Denoiser. IEEE Access, 7, 164344-164361. https://doi.org/10.1109/access.2019.2953259

Christensen, L. T. B., Straadt, D., Vassis, S., Lillelund, C. M., Stoustrup, P. B., Pauwels, R., Pedersen, T. K. & Pedersen, C. F. (2024). An Explainable and Conformal AI Model to Detect Temporomandibular Joint Involvement in Children Suffering from Juvenile Idiopathic Arthritis. (pp. 1-4). https://arxiv.org/abs/2405.01617#

Todnem Bach Christensen, L., Straadt, D., Vassis, S., Lillelund, C. M., Stoustrup, P. B., Pauwels, R., Pedersen, T. K. & Pedersen, C. F. (2024). An Explainable and Conformal AI Model to Detect Temporomandibular Joint Involvement in Children Suffering from Juvenile Idiopathic Arthritis. In 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, FL, USA (pp. 1-4). IEEE. https://doi.org/10.1109/EMBC53108.2024.10781771

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. In 2016 American Control Conference, ACC 2016 (pp. 3710-3715). Article 7525490 IEEE. https://doi.org/10.1109/ACC.2016.7525490

Beevi, F. H. A., Miranda, J., Pedersen, C. F. & Wagner, S. R. (2015). An Evaluation of Commercial Pedometers for Monitoring Slow Walking Speed Populations. Telemedicine and e-Health, 22(5). https://doi.org/10.1089/tmj.2015.0120

Asif, M. R., Bording, T. S., Maurya, P. K., Zhang, B., Fiandaca, G., Grombacher, D. J., Christiansen, A. V., Auken, E. & Larsen, J. J. (2022). A Neural Network-Based Hybrid Framework for Least-Squares Inversion of Transient Electromagnetic Data. IEEE Transactions on Geoscience and Remote Sensing, 60, Article 4503610. https://doi.org/10.1109/TGRS.2021.3076121

Ahmadi, H., Rafiei Foroushani, M., Afshari-Igder, M., Gheisarnejad Chirani, M. & Khooban, M. H. (2021). An Energy Efficient Solution for Fuel Cell Heat Recovery in Zero-Emission Ferry Boats: Deep Deterministic Policy Gradient. I E E E Transactions on Vehicular Technology, 70(8), 7571-7581. Article 9477203. https://doi.org/10.1109/TVT.2021.3094899.

Liu, L., Domenzain Gonzalez, D., Vela, I., Maurya, P. K., Kühl, A. K., Bording, T., Ejlskov, P., Auken, E., Larsen, J. J. & Christiansen, A. V. (2025). An efficient cross-borehole direct current resistivity monitoring instrument. Geophysics, 90(2), D61-D70. https://doi.org/10.1190/geo2023-0518.1

Letafat, A., Rafiei, M., Ardeshiri, M., Sheikh, M., Banaei, M., Boudjadar, J. & Khooban, M. H. (2020). An Efficient and Cost-Effective Power Scheduling in Zero-Emission Ferry Ships. Complexity, 2020, Article 6487873. https://doi.org/10.1155/2020/6487873

Andersen, B. H., Kristensen, E. F., Jensen, H. F., Persson, A., Jørgensen, R., Sørensen, C. A. G., Jensen, K. & Pedersen, J. M. (2007). An autonomous mobile robot for feeding outdoor pigs. In Ikke angivet (pp. 289-291). NJF, Nordic Association of Agricultural Scientists.

Bjerge, K., Nielsen, J. B., Sepstrup, M. V., Helsing-Nielsen, F. & Høye, T. T. (2021). An automated light trap to monitor moths (Lepidoptera) using computer vision-based tracking and deep learning. Sensors (Switzerland), 21(2), Article 343. https://doi.org/10.3390/s21020343

Steen, K. A., Therkildsen, O. R., Karstoft, H. & Green, O. (2013). An Audio Based Adaptive Goose Scaring Device. Paper presented at CIOSTA XXXV Conference, Billund, Denmark.

Grombacher, D., Kass, M. A., Auken, E. & Larsen, J. J. (2020). An approximate fast-mapping approach to the surface NMR forward problem. Geophysical Journal International, 221(2), 928-937. https://doi.org/10.1093/gji/ggaa044

Oleksiienko, I. & Iosifidis, A. (2021). Analysis of voxel-based 3D object detection methods efficiency for real-time embedded systems. In N. Mallenahalli, A. Bhattacharya, S. Senatore, A. Negi & A. Hirose (Eds.), 2021 International Conference on Emerging Techniques in Computational Intelligence (ICETCI) (pp. 59-64). IEEE. https://doi.org/10.1109/ICETCI51973.2021.9574075

Kristensen, K. & Jørgensen, R. N. (2007). Analysis of trials with many replicates where treatments are randomised into rows and blocks. In H. Bleiholder & H.-P. Piepgo (Eds.), Proceedings of the International Symposium (pp. 92-97). University of Hohenheim.

Ahmadieh Khanesar, M., Kayacan, E., Teshnelab, M. & Kaynak, O. (2011). Analysis of the Noise Reduction Property of Type-2 Fuzzy Logic Systems Using a Novel Type-2 Membership Function. IEEE Transactions on Cybernetics, 41(5), 1395-1406. https://doi.org/10.1109/TSMCB.2011.2148173

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

Miranda, J., Cabral, J., Banerjee, S., Grossmann, D., Pedersen, C. F. & Wagner, S. R. (2017). Analysis of OPC Unified Architecture for Healthcare Applications. In 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2017: EFTA 2017 (pp. 1-4). IEEE. https://doi.org/10.1109/ETFA.2017.8247771

Ravelo, B., Miranda, J., Cabral, J., Wagner, S. R., Pedersen, C. F., Memon, M., Mathiesen, M. & Jastrzebski , A. (2015). Analysis of a Healthcare Platform RF Emission in Indoor Environment. In Proceedings of the IEEE International Symposium on Electromagnetic Compatibility and EMC Europe: EMC 2015 (pp. 1495-1500). IEEE.

Pedersen, C. F., Dalsgaard, P., Larsen, L. B., Jensen, J. J., Hejlesen, O. K., Sørensen, L. T., Schultz, N. & Christensen, D. S. (2004). Analysis and design of a PN based health care service for diabetics. Paper presented at My Personal Adaptive Global NET: Visions and beyond, Shanghai, China.

Somerville, G. J., Mathiassen, S. K., Melander, B., Bøjer, O. M. & Nyholm Jørgensen, R. (2021). Analysing the number of images needed to create robust variable spray maps. Precision Agriculture, 22(5), 1377-1396. https://doi.org/10.1007/s11119-021-09800-3

Lindahl Petersen , K., Ladegaard Jensen, K., Back Nielsen, M., Pas, L.-C., Jensen, N.-P., Nielsen, P. R., Bøjer, O. M., Nyholm Jørgensen, R., Laursen, M. S., Teimouri, N. & Hartmann, B. (2021). Analyse af mulige herbicidbesparelser ved brug af erfaringer og data fra RoboWeedMaPS. Datalogisk Institut. https://datalogisk.dk/wp-content/uploads/2021/03/MST_20rapport_version_2_2002092021.pdf

Sarabakha, A. & Suganthan, P. N. (2023). anafi_ros: from Off-the-Shelf Drones to Research Platforms. In 2023 International Conference on Unmanned Aircraft Systems (ICUAS) (pp. 1308-1315)

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

Steen, K. A., Therkildsen, O. R., Karstoft, H. & Green, O. (2015). An adaptive scaring device. International Journal of Sustainable Agricultural Management and Informatics, 1(2), 130-141. https://doi.org/10.1504/IJSAMI.2015.070746

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. In Industrial Electronics (ISIE), 2010 IEEE International Symposium on (pp. 68-73). IEEE . https://doi.org/10.1109/ISIE.2010.5637706

Kayacan, E. & Kaynak, O. (2009). An Adaptive Grey PID Type Fuzzy Controller Design for a Nonlinear Liquid Level System. Transactions of the Institute of Measurement and Control, 31(1), 33-49. https://doi.org/10.1177/0142331208090629

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

Raza, M. A., Qi, C., Asif, M. R. & Khan, M. A. (2020). An adaptive approach for multi-national vehicle license plate recognition using multi-level deep features and foreground polarity detection model. Applied Sciences, 10(6), Article 2165. https://doi.org/10.3390/app10062165

Abdullah, S. M. U., Rehman, N. U., Khan, M. M. & Mandic, D. P. (2015). A Multivariate Empirical Mode DecompositionBased Approach to Pansharpening. IEEE Transactions on Geoscience and Remote Sensing, 53(7), 3974-3984. https://doi.org/10.1109/tgrs.2015.2388497

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