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
Steen, K. A., Villa-Henriksen, A.
, Therkildsen, O. R., Karstoft, H. & Green, O. (2012).
Automatic Detection of Animals using Thermal Imaging. Paper presented at Agriculture & Engineering for a Healthier Life, Valencia, Spain.
http://cigr.ageng2012.org/images/fotosg/tabla_137_C0392.pdf
Kusk, K., Nielsen, D. B., Thylstrup, T., Rasmussen, N. H., Jørvang, J.
, Pedersen, C. F. & Wagner, S. R. (2012).
Lessons Learned From a Lightweight Context-Aware System for Achieving Reliable Home Blood Pressure Self-Measurements. Paper presented at NordiCHI 2012, The Nordic Conference on Human-Computer Interaction, Copenhagen, Denmark.
Kayacan, E.
, Kayacan, E., Ramon, H. & Saeys, W. (2012).
Model Predictive Control of the Yaw Dynamics of an Autonomous Tractor. In A. Peruzzi (Ed.),
: 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 (pp. 157-162). University of Pisa.
Kristensen, M. V., Ahrendt, P., Lindballe, T. B., Nielsen, O. H. A., Kylling, A. P.
, Karstoft, H., Imparato, A., Rigau, L. H., Stadler, B., Stapelfeldt, H. & Keiding, S. R. (2012).
Motion analysis of optically trapped particles and cells using 2D Fourier analysis.
Optics Express,
20(3), 1953-1962.
https://doi.org/10.1364/OE.20.001953
Ahmed, M. U.
, Rehman, N., Looney, D., Rutkowski, T. M.
, Kidmose, P. & Mandic, D. P. (2012).
Multivariate entropy analysis with data-driven scales. In
2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 3901-3904). IEEE.
https://doi.org/10.1109/icassp.2012.6288770,
https://doi.org/10.1109/ICASSP.2012.6288770
Kayacan, E., Oniz, Y., Cisel Aras, A., Kaynak, O. & H. Abiyev, R. (2011).
A Servo System Control with Time-varying and Nonlinear Load Conditions Using Type-2 TSK Fuzzy Neural System.
Applied Soft Computing,
11(8), 5735-5744.
https://doi.org/10.1016/j.asoc.2011.03.008