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

Sortér efter: Dato | Forfatter | Titel

Skovsen, S. K., Haraldsson, H., Davis, A., Karstoft, H. & Belongie, S. (2020). Decoupled Localization and Sensing with HMD-based AR for Interactive Scene Acquisition. I 2020 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) (s. 167-171). Artikel 9288396 IEEE. https://doi.org/10.1109/ISMAR-Adjunct51615.2020.00053

Skovsen, S. K., Laursen, M. S., Kristensen, R. K., Rasmussen, J., Dyrmann, M., Eriksen, J., Gislum, R., Nyholm Jørgensen, R. & Karstoft, H. (2021). Robust Species Distribution Mapping of Crop Mixtures Using Color Images and Convolutional Neural Networks. Sensors, 21( 1), Artikel 175. https://doi.org/10.3390/s21010175

Skovsen, S., Dyrmann, M., Mortensen, A. K., Laursen, M. S., Gislum, R., Eriksen, J., Farkhani, S., Karstoft, H. & Nyholm Jørgensen, R. (2019). The GrassClover Image Dataset for Semantic and Hierarchical Species Understanding in Agriculture. I The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops IEEE. http://openaccess.thecvf.com/content_CVPRW_2019/html/CVPPP/Skovsen_The_GrassClover_Image_Dataset_for_Semantic_and_Hierarchical_Species_Understanding_CVPRW_2019_paper.html

Skov, K., Mandrup, L., Johannsen, L. & Lysgaard, P. (2001). Grundlæggende EMC I: Fænomener og konstruktionsprincipper. I Grundlæggende EMC I: Fænomener og konstruktionsproncipper (1.3 udg., Bind T-306, s. 164).

Skjødt, P. & Jørgensen, R. (2003). Sensor based nitrogen fertilization increasing grain protein yield in winter wheat.

Skjødt, P., Hansen, P. M., Jørgensen, R. & Nielsen, N. E. (2003). Sensor based nitrogen fertilization in winter wheat levelling out spatial variability in protein content. I Proc. 4th ECPA and 1st ECPLF, Berlin, Germany (s. 311-311). Wageningen Academic Publishers.

Simonsen, O. H., Karstoft, H., Kappel, S. L., Hermann, D., Rathleff, M. S. & Ahrendt, P. (2013). Stretch Sensor Device. (Patentnummer PCT/DK2012/050341, WO2013041101). http://worldwide.espacenet.com/publicationDetails/biblio?CC=WO&NR=2013041101A1&KC=A1&FT=D&ND=3&date=20130328&DB=EPODOC&locale=dk_DK

Siboska, D., Karstoft, H. & Pedersen, H. (2014). Synchronization of Electroencephalography and Eye Tracking using Global Illumination Changes. I Biosignals 2014 - 7th International Conference on Bio-inspired Systems and Signal Processing (s. 55-60). SCITEPRESS Digital Library. https://doi.org/10.5220/0004800400550060

Siboska, D. & Karstoft, H. (2015). Using illumination changes to synchronize eye tracking in visual paradigms. I G. Plantier, T. Schlutz, A. Fred & H. Gamboa (red.), Biomedical Engineering Systems and Technologies: 7th International Joint Conference, BIOSTEC 2014, Angers, France, March 3-6, 2014, Revised Selected Papers (Bind 511, s. 289-298) https://doi.org/10.1007/978-3-319-26129-4_19

Shahrak Nadimi, E. & Jørgensen, R. N. (2012). MoDest GrassUp. (Patentnummer DK2010/050334).

Shahrak Nadimi, E., Andersson, K. J., Jørgensen, R. N., Maagaard, J., Mathiassen, S. K. & Christensen, S. (2009). Designing, modeling and controlling a novel autonomous laser weeding system. I Conference papers World Congress on Computers in Agriculture. https://elibrary.asabe.org/pdfviewer.asp?param1=s:/8y9u8/q8qu/tq9q/5tv/H/Cs43IGGP/KP_dqty2y.5tv&param2=HI/I/IGIK&param3=HJG.IIL.IH.IK&param4=29077

Shah, A., Naqvi, S. S., Naveed, K., Salem, N., Khan, M. A. U. & Alimgeer, K. S. (2021). Automated Diagnosis of Leukemia: A Comprehensive Review. IEEE Access, 9, 132097-132124. https://doi.org/10.1109/ACCESS.2021.3114059

Sejersen, J. L. F., Sarabakha, A., Plagborg Bak Sørensen, K. & Høigaard Jensen, J. (2025). Multi-Agent Path Planning in Complex Environments using Gaussian Belief Propagation with Global Path Finding. 4359-4365. Afhandling præsenteret på 2025 IEEE International Conference on Robotics and Automation (ICRA) , Atlanta, Georgia, USA. https://doi.org/10.1109/ICRA55743.2025.11128006

Schultz, N. (red.), Tan, S. (red.), Sørensen, J. K. (red.), Karamolegkos, P., Larsen, J. E., Larsen, L. B., Nikolakopoulos, G., Olseni, C., Patriakis, C. Z., Pedersen, C. F., Pedersen, J. S., Proschowsky, M., Protonotarios, V., Roswall, R., Saugstrup, D., Sørensen, L., Bessler, S., Hammershøj, A., Heinze, E. ... Xu, C. (2006). Draft User Functionalities and Interfaces of PN Services (Low-Fi Prototyping). Information Society Technologies, IST-FP6-IP-027396, My Personal Adaptive Global NET (MAGNET) Beyond, EU.

Schmitt, M., Lochbrunner, S., Shaffer, J. P., Larsen, J. J., Zgierski, M. Z. & Stolow, A. (2001). Electronic continua in time-resolved photoelectron spectroscopy. II. Corresponding ionization correlations. Journal of Chemical Physics, 114(3), 1206-1213. https://doi.org/10.1063/1.1331637

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

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., 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

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. & 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

Sarabakha, A., Fu, C. & Kayacan, E. (2019). Intuit before tuning: Type-1 and type-2 fuzzy logic controllers. Applied Soft Computing Journal, 81, Artikel 105495. https://doi.org/10.1016/j.asoc.2019.105495

Sarabakha, A. & Kayacan, E. (2019). Online deep learning for improved trajectory tracking of unmanned aerial vehicles using expert knowledge. I 2019 International Conference on Robotics and Automation, ICRA 2019 (s. 7727-7733). Artikel 8794314 IEEE. https://doi.org/10.1109/ICRA.2019.8794314

Sarabakha, A. & Kayacan, E. (2020). Online Deep Fuzzy Learning for Control of Nonlinear Systems Using Expert Knowledge. IEEE Transactions on Fuzzy Systems, 28(7), 1492-1503. https://doi.org/10.1109/TFUZZ.2019.2936787

Sarabakha, A., Qiao, Z., Ramasamy, S. & Suganthan, P. N. (2023). Online Continual Learning for Control of Mobile Robots. I 2023 International Joint Conference on Neural Networks (IJCNN) (s. 1) https://doi.org/10.1109/IJCNN54540.2023.10191188

Sarabakha, A. & Suganthan, P. N. (2023). anafi_ros: from Off-the-Shelf Drones to Research Platforms. I 2023 International Conference on Unmanned Aircraft Systems (ICUAS) (s. 1308-1315) https://doi.org/10.1109/ICUAS57906.2023.10155881

Sarabakha, A. (2025). Data-Driven Identification of Observed Relative Degrees for Nonlinear Systems. I 2025 European Control Conference, ECC 2025 (2025 udg., s. 813-818). IEEE. https://doi.org/10.23919/ECC65951.2025.11187272

Saleem, S., Naqvi, S. S., Manzoor, T., Saeed, A., Rehman, N. U. & Mirza, J. (2019). A Strategy for Classification of "Vaginal vs. Cesarean Section" Delivery: Bivariate Empirical Mode Decomposition of Cardiotocographic Recordings. Frontiers in Physiology, 10. https://doi.org/10.3389/fphys.2019.00246

Salavatidezfouli, S., Rakhsha, S., Sheidani, A., Stabile, G. & Rozza, G. (2025). A predictive surrogate model for heat transfer of an impinging jet on a concave surface. International Journal of Heat and Mass Transfer, 251, Artikel 127248. https://doi.org/10.1016/j.ijheatmasstransfer.2025.127248

Salavatidezfouli, S., Karstoft, H., Iosifidis, A. & Abkar, M. (2025). Dual guidance: Reduced-order model-informed field reconstruction with generative models. Physics of Fluids, 37(9), Artikel 093617. https://doi.org/10.1063/5.0285462

Sahana, G., Gebreyesus, G., Cheruiyot Bett , R., Kinyua, J., Roos, N., MBI Tanga, C., Mwikirize, C., Akol, R., Khamis, F. M., Karstoft, H., Bjerge, K., Nkirote Kunyanga , C., Hansen, L. S., Nielsen, H. M., Lund, M. S., Geoffrey, S., Walusimbi, S. & Nakimbugwe, D. (2024). FLYgene: Advancing Sustainable Breeding Programs and Genomic Tools for Black Soldier Fly (Hermetia illucens) in Kenya and Uganda. I Book of Abstracts of the 75th Annual Meeting of the European Federation of Animal Science (s. 633-633) https://docs.eaap.org/boa/2024_Florence_EAAP_Book_Abstracts.pdf

Safari, A., Saidi, M. H., Salavatidezfouli, S., Ma, W. & Yao, S. (2025). A comprehensive experimental and numerical study of Taylor-Couette flow on superhydrophobic surfaces. AIP Advances, 15(5), Artikel 055012. https://doi.org/10.1063/5.0249290

Sadiq, M. T., Yu, X., Yuan, Z., Aziz, M. Z., Rehman, N. U., Ding, W. & Xiao, G. (2022). Motor Imagery BCI Classification Based on Multivariate Variational Mode Decomposition. IEEE Transactions on Emerging Topics in Computational Intelligence, 6(5), 1177-1189. https://doi.org/10.1109/tetci.2022.3147030

Rysgaard, S., Bjerge, K., Boone, W., Frandsen, E., Graversen, M., Thomas Høye, T., Jensen, B., Johnen, G., Antoni Jackowicz-Korczynski, M., Taylor Kerby, J., Kortegaard, S., Mastepanov, M., Melvad, C., Schmidt Mikkelsen, P., Mortensen, K., Nørgaard, C., Poulsen, E., Riis, T., Sørensen, L. & Røjle Christensen, T. (2022). A mobile observatory powered by sun and wind for near real time measurements of atmospheric, glacial, terrestrial, limnic and coastal oceanic conditions in remote off-grid areas. HardwareX, 12, Artikel e00331. https://doi.org/10.1016/j.ohx.2022.e00331

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

Rubak, J. A. B., Naveed, K., Jain, S., Esterle, L., Iosifidis, A. & Pauwels, R. (2025). Impact of Labeling Inaccuracy and Image Noise on Tooth Segmentation in Panoramic Radiographs using Federated, Centralized and Local Learning. ArXiv. https://doi.org/10.48550/arXiv.2509.06553

Roy, D. B., Alison, J., August, T. A., Bélisle, M., Bjerge, K., Bowden, J. J., Bunsen, M. J., Cunha, F., Geissmann, Q., Goldmann, K., Gomez-Segura, A., Jain, A., Huijbers, C., Larrivée, M., Lawson, J. L., Mann, H. M., Mazerolle, M. J., McFarland, K. P., Pasi, L. ... Høye, T. T. (2024). Towards a standardized framework for AI-assisted, image-based monitoring of nocturnal insects. Philosophical Transactions of the Royal Society B: Biological Sciences, 379(1904), Artikel 20230108. https://doi.org/10.1098/rstb.2023.0108

Rehman, N. U. & Aftab, H. (2019). Multivariate Variational Mode Decomposition. IEEE Transactions on Signal Processing, 67(23), 6039-6052. Artikel 8890883. https://doi.org/10.1109/TSP.2019.2951223

Rehman, N. U., Naveed, K. & Khan, B. (2019). Data-Driven Multivariate Signal Denoising Using Mahalanobis Distance. IEEE Signal Processing Letters, 26(9), 1408-1412. https://doi.org/10.1109/LSP.2019.2932715

Rehman, N. U., Abbas, S. Z., Asif, A., Javed, A., Naveed, K. & Mandic, D. P. (2017). Translation invariant multi-scale signal denoising based on goodness-of-fit tests. Signal Processing, 131, 220-234. https://doi.org/10.1016/j.sigpro.2016.08.019

Rehman, N. U., Naveed, K., Ehsan, S. & McDonald-Maier, K. (2016). Multi-scale image denoising based on goodness of fit (GOF) tests. I 2016 24th European Signal Processing Conference (EUSIPCO) IEEE. https://doi.org/10.1109/eusipco.2016.7760508

Rehman, N., Khan, M. M., Sohaib, M. I., Jehanzaib, M., Ehsan, S. & McDonald-Maier, K. (2014). Image fusion using multivariate and multidimensional EMD. I 2014 IEEE International Conference on Image Processing (ICIP) IEEE. https://doi.org/10.1109/icip.2014.7026035

Rehman, N., Ehsan, S., Naveed, K., McDonald-Maier, K. D. & Safdar, M. W. (2015). Dynamically sampled multivariate empirical mode decomposition. Electronics Letters, 51(24), 2049-2051. https://doi.org/10.1049/el.2015.1176

Rehman, N. U., Xia, Y. & Mandic, D. P. (2010). Application of multivariate empirical mode decomposition for seizure detection in EEG signals. I 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology IEEE. https://doi.org/10.1109/iembs.2010.5626665

Rehman, N. U. & Mandic, D. P. (2014). Dynamically-Sampled Bivariate Empirical Mode Decomposition. IEEE Signal Processing Letters, 21(7), 857-861. https://doi.org/10.1109/lsp.2014.2317773

Rehman, N. U., Park, C., Huang, N. E. & Mandic, D. P. (2013). Emd via memd: Multivariate noise-aided computation of standard emd. Advances in Adaptive Data Analysis, 05(02), 1350007. https://doi.org/10.1142/s1793536913500076

Rehman, N. U. & Mandic, D. P. (2011). Filter Bank Property of Multivariate Empirical Mode Decomposition. IEEE Transactions on Signal Processing, 59(5), 2421-2426. https://doi.org/10.1109/tsp.2011.2106779

Rehman, N. U. & Mandic, D. P. (2010). Quadrivariate Empirical Mode Decomposition. I The 2010 International Joint Conference on Neural Networks (IJCNN) IEEE. https://doi.org/10.1109/ijcnn.2010.5596768

Rehman, N., Looney, D., Rutkowski, T. M. & Mandic, D. P. (2009). Bivariate EMD-based image fusion. I 2009 IEEE/SP 15th Workshop on Statistical Signal Processing IEEE. https://doi.org/10.1109/ssp.2009.5278639

Rehman, N. U. & Mandic, D. P. (2009). Qualitative analysis of rotational modes within three dimensional empirical mode decomposition. I 2009 IEEE International Conference on Acoustics, Speech and Signal Processing IEEE. https://doi.org/10.1109/icassp.2009.4960367

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), Artikel 2165. https://doi.org/10.3390/app10062165

Viser resultater 101 til 150 ud af 784

Forrige

Næste

Back to the main page

Revideret 13.11.2025

AU Engineering