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

Jørgensen, R. & Hansen, P. M. (2000). Kunstigt øje vogter over planters ernæringstilstand. Risoenyt, 2, 12-13.

Green, O. & Jørgensen, R. (2007). Kørselsskader i græs. Poster-session præsenteret på Temadag på Institut for Jordbrugsteknik - et vindue til fremtidens markteknologi, Horsens.

Zhou, S., Helwa, M. K., Schoellig, A. P., Sarabakha, A. & Kayacan, E. (2019). Knowledge transfer between robots with similar dynamics for high-accuracy impromptu trajectory tracking. I 2019 18th European Control Conference, ECC 2019 Artikel 8796140 IEEE. https://doi.org/10.23919/ECC.2019.8796140

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)

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)

Høye, T. T., Mann, H. M. R. & Bjerge, K. (2020). Kamerabaseret overvågning af Insekter på grønne bytage. Aarhus University, DCE - Danish Centre for Environment and Energy. Videnskabelig rapport fra DCE - Nationalt Center for Miljø og Energi Nr. 371 https://dce2.au.dk/pub/SR371.pdf

Nazari, M., Korshøj, A. R. & Rehman, N. U. (2024). Jump Plus AM-FM Mode Decomposition. Cornell University. https://doi.org/10.48550/arXiv.2407.07800

Nazari, M., Korshj, A. R. & Rehman, N. U. (2025). Jump Plus AM-FM Mode Decomposition. IEEE Transactions on Signal Processing, 73, 1081-1093. https://doi.org/10.1109/TSP.2025.3535822

Liu, L., Griffiths, M. P., Vang, M., Grombacher, D. J. & Larsen, J. J. (2021). Is it redundant to use model-based subtraction together with the reference noise cancellation? I 27th European Meeting of Environmental and Engineering Geophysics, Held at Near Surface Geoscience Conference and Exhibition 2021, NSG 2021 EAGE Publishing BV. https://doi.org/10.3997/2214-4609.202120108

Nielsen, A. H., Iosifidis, A. & Karstoft, H. (2021). IrradianceNet: Spatiotemporal Deep Learning Model for Satellite-Derived Solar Irradiance Nowcasting. Solar Energy, 228, 659-669. https://doi.org/10.1016/j.solener.2021.09.073

Rafiei Foroushani, M. & Nørremark, M. (2025). Investigation of available ground-truth data in Denmark that can be used for remote identification and localization of populations of selected plant species. DCA - Nationalt Center for Fødevarer og Jordbrug. Rådgivningsrapport fra DCA - Nationalt Center for Fødevarer og Jordbrug

Asif, M. R., Maurya, P. K., Larsen, J. J. & Christiansen, A. V. (2022). Investigating the Integration of Neural Networks in Least-Squares Method for Airborne Electromagnetic Data Inversion. 1-5. Afhandling præsenteret på NSG2022 3rd Conference on Airborne, Drone and Robotic Geophysics, Beograd, Serbien. https://doi.org/10.3997/2214-4609.202220034

Grombacher, D., Liu, L., Kass, M. A., Osterman, G., Fiandaca, G., Auken, E. & Larsen, J. J. (2020). Inverting surface NMR free induction decay data in a voltage-time data space. Journal of Applied Geophysics, 172, Artikel 103869. https://doi.org/10.1016/j.jappgeo.2019.103869

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

Haldrup, M., Rasmussen, M., Mohamad, N., Dyrskog, S., Thorup, L., Mikic, N., Wismann, J., Grønhøj, M., Poulsen, F. R., Nazari, M., Rehman, N. U., Simonsen, C. Z. & Korshøj, A. R. (2023). Intraventricular Lavage vs External Ventricular Drainage for Intraventricular Hemorrhage: A Randomized Clinical Trial. JAMA network open, 6(10), e2335247. Artikel e2335247. https://doi.org/10.1001/jamanetworkopen.2023.35247

Zhang, C., Rossi, C. & Kayacan, E. (2017). Interval Type-2 Fuzzy-Neuro Control of Nonlinear Systems With Proved Overall System Stability. I 2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017 (s. 1-6). Artikel 8015495 IEEE. https://doi.org/10.1109/FUZZ-IEEE.2017.8015495

Jensen, T. & Karstoft, H. (2014). Intelligent Soil Tillage. Abstract fra AGROMEK and NJF Joint Seminar on Future Arable Farming and Agricultural Engineering, Herning, Danmark.

Kayacan, E., Saeys, W., Kayacan, E., Ramon, H. & Kaynak, O. (2012). Intelligent Control of a Tractor-Implement System Using Type-2 Fuzzy Neural Networks. I Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on (s. 1-8). IEEE . https://doi.org/10.1109/FUZZ-IEEE.2012.6250790

Asif, M. R., Foged, N., Maurya, P. K., Grombacher, D. J., Christiansen, A. V., Auken, E. & Larsen, J. J. (2022). Integrating neural networks in least-squares inversion of airborne time-domain electromagnetic data. Geophysics, 87(4), E177-E187. https://doi.org/10.1190/geo2021-0335.1

Pimentel de Figueiredo, R., Le Fevre Sejersen, J., Grimm Hansen, J. & Brandão, M. (2022). Integrated design-sense-plan architecture for autonomous geometric-semantic mapping with UAVs. Frontiers in Robotics and AI, 9, Artikel 911974. https://doi.org/10.3389/frobt.2022.911974

Ehsan, S., Clark, A., Rehman, N. & McDonald-Maier, K. (2015). Integral Images: Efficient Algorithms for Their Computation and Storage in Resource-Constrained Embedded Vision Systems. Sensors, 15(7), 16804-16830. https://doi.org/10.3390/s150716804

Jain, A., Cunha, F., Bunsen, M. J., Cañas, J. S., Pasi, L., Pinoy, N., Helsing, F., Russo, J., Botham, M., Sabourin, M., Fréchette, J., Anctil, A., Lopez, Y., Navarro, E., Perez Pimentel, F., Zamora, A. C., Silva, J. A. R., Gagnon, J., August, T. ... Rolnick, D. (2025). Insect Identification in the Wild: The AMI Dataset. I A. Leonardis , E. Ricci , S. Roth , O. Russakovsky , T. Sattler & G. Varol (red.), Computer Vision – ECCV 2024 - 18th European Conference, Proceedings (s. 55-73). Springer. https://doi.org/10.1007/978-3-031-72913-3_4

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

Chen, I.-M., Asadi, E., Nie, J., Yan, R.-J., Chuan Law, W., Kayacan, E., Huat Yeo, S., Huat Low, K., Seet, G. & Tiong, R. (2016). Innovations in Infrastructure Service Robots. I V. Parenti-Castelli & W. Schiehlen (red.), CISM International Centre for Mechanical Sciences, Courses and Lectures: Proceedings of the 21st CISM-IFToMM Symposium (s. 3-16). Springer. https://doi.org/10.1007/978-3-319-33714-2_1

Farkhani, S., Skovsen, S. K., Mortensen, A. K., Laursen, M. S., Nyholm Jørgensen, R. & Karstoft, H. (2020). Initial evaluation of enriching satellite imagery using sparse proximal sensing in precision farming. I C. M. U. Neale & A. Maltese (red.), Remote Sensing for Agriculture, Ecosystems, and Hydrology XXII (Bind 11528). Artikel 115280A SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.2573626

Nyord, T., Steen, K. A. & Nyholm Jørgensen, R. (2014). Infrared measurements used as soil infiltration indicator for animal slurry. I International Conference of Agricultural Engineering - AgEng 2014 Zurich The European Society of Agricultural Engineers (EurAgEng). http://www.geyseco.es/ageng2014/eposter/?seccion=posters&idcomunicacion=556&tipo=3

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

Midtiby, H., Mosgaard Giselsson, T. & Jørgensen, R. N. (2010). Independent feature based plant classification.

Laursen, M. S., Nyholm Jørgensen, R. & Midtiby, H. S. (2014). Improving the segmentation for weed recognition applications based on standard RGB cameras using optical filters. Abstract fra Agromek and NJF joint seminar, Herning, Danmark.

Asif, M. R., Bording, T. S., Barfod, A. A. S., Zhang, B., Larsen, J. J. & Auken, E. (2020). Improving computational efficiency of forward modelling for ground-based time-domain electromagnetic data using neural networks. Abstract fra EGU:General assembly 2020 , Vienna , Østrig. https://doi.org/10.5194/egusphere-egu2020-7067

Chavez Plascencia, A. & Karstoft, H. (2012). Improvement of KinectTM Sensor Capabilities by Fusion with Laser Sensing Data Using Octree. Sensors, 12, 3868-3878. https://doi.org/10.3390/s120403868

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.

Nielsen, S. H., Bøgild, A., Jensen, K., Kjærhus Bertelsen, K. & Jørgensen, R. N. (2011). Implementations of FroboMind using the Robot Operating System framework. http://www.njf.nu/site/seminarRedirect.asp?intSeminarID=441&p=1004

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

Morales, T., Sarabakha, A. & Kayacan, E. (2020). Image Generation for Efficient Neural Network Training in Autonomous Drone Racing. I 2020 International Joint Conference on Neural Networks (IJCNN) Artikel 9206943 IEEE. https://doi.org/10.1109/IJCNN48605.2020.9206943

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

Tu, G. J., Karstoft, H., Pedersen, L. J. & Jørgensen, E. (2015). Illumination and Reflectance Estimation with its Application in Foreground Detection. Sensors, 15(9), 21407-21426. https://doi.org/10.3390/s150921407

Kayacan, E., Kayacan, E. & Ahmadieh Khanesar, M. (2014). Identification of Nonlinear Dynamic Systems Using Type-2 Fuzzy Neural Networks - A Novel Learning Algorithm and a Comparative Study. IEEE Transactions on Industrial Electronics, 62(3), 1716-1724. https://doi.org/10.1109/TIE.2014.2345353

Jeppesen, J. H., Jacobsen, R. H., Nyholm Jørgensen, R., Halberg, A. & Toftegaard, T. S. (2017). Identification of High-Variation Fields based on Open Satellite Imagery. Advances in Animal Biosciences, 8(2), 388-393. https://doi.org/10.1017/S2040470017000693

Cielecki, P. P., Hardenberg, M., Amariei, G., Henriksen, M. L., Hinge, M. & Klarskov, P. (2023). Identification of black plastics with terahertz time-domain spectroscopy and machine learning. Scientific Reports, 13(1), Artikel 22399. https://doi.org/10.1038/s41598-023-49765-z

Gheisarnejad Chirani, M., Mosayebi, M., Rafiei Foroushani, M., Boudjadar, J. & Khooban, M. H. (2023). Hybrid Power Systems for Smart Marine Power Grids: Demonstration and Case Study. I Electric Transportation Systems in Smart Power Grids (s. 473-492). CRC Press. https://doi.org/10.1201/9781003293989

Ali, M., Khan, A. & Rehman, N. U. (2017). Hybrid multiscale wind speed forecasting based on variational mode decomposition. International Transactions on Electrical Energy Systems, 28(1), e2466. https://doi.org/10.1002/etep.2466

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

Sridharan, K. S., Højlund, A., Sunde, N., Johnsen, E. L., Johansen, L. G., Beniczky, S. & Østergaard, K. (2016). How do treatments affect somatosensory processing in Parkinson's disease - A MEG study. Poster-session præsenteret på PhD Day 2016, Aarhus, Danmark.

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

Sørensen, C. A. G., Nørremark, M., Jørgensen, R., Jensen, K., Jensen, L. A. & Maagaard, J. (2007). Hortibot: Feasibility study of a plant nursing robot performing weeding operations - part IV: Paper No. 077019. I Ikke angivet ASABE - American Society of Agricultural and Biological Engineers. http://asae.frymulti.com/techpapers.asp?confid=min2007

Nørremark, M., Sørensen, C. A. G. & Jørgensen, R. N. (2006). HortiBot: Comparison of present and future phytotechnologies for weed control - part III: Paper No. 067023. I Proc. ASABE Annual Meeting http://asae.frymulti.com/request.asp?JID=5&AID=21017&CID=por2006&T=1

Jørgensen, R., Sørensen, C. A. G., Maagaard, J., Havn, I., Jensen, K., Søgaard, H. T. & Sørensen, L. B. (2007). HortiBot: A System Design of a Robotic Tool Carrier for High-tech PlantNursing. Agricultural Engineering International: CIGR Journal, IX. http://cigr-ejournal.tamu.edu/submissions/volume9/ATOE%2007%20006%20Jorgensen%2011July2007.pdf

Jørgensen, R., Sørensen, C. G., Pedersen, J. M., Havn, I., Jensen, K., Søgaard, H. T. & Sørensen, L. B. (2006). Hortibot: A system design of a robotic tool carrier for high-tech plant nursing. I Proc. Automation Technology for Off-Road Equipment (s. 13-22) https://cigrjournal.org/index.php/Ejounral/article/view/937/931

Sørensen, C. G., Jørgensen, R. N., Pedersen, J. M. & Nørremark, M. (2006). HortiBot: Application of Quality Function Deployment (QFD) Method for Horticultural Robotic Tool Carrier Design Planning - Part II: Paper No. 067021. I Proc. ASABE Annual Meeting http://asae.frymulti.com/request.asp?JID=5&AID=21015&CID=por2006&T=1

Viser resultater 401 til 450 ud af 856

Forrige

Næste

Back to the main page

Revideret 10.08.2023

AU Engineering