Mortensen, A. K., Karstoft, H., Søegaard, K., Gislum, R. & Nyholm Jørgensen, R. (2017).
Preliminary Results of Clover and Grass Coverage and Total Dry Matter Estimation in Clover-Grass Crops Using Image Analysis.
Journal of Imaging,
3(4), Artikel 59.
https://doi.org/10.3390/jimaging3040059
Madsen, S. L., Karstoft, H., Nyholm Jørgensen, R., Nørremark, M., Khokhar, Y., Gomez, J. S., pier van Gosliga, S. & Jaakkola, K. (2017).
Quantifying behaviour of dairy cows via multi-stage Support Vector Machines. I D. Berckmans & A. Keita (red.),
Book of proceedings: 8th European Conference on Precision Livestock Farming: ECPLF 2017 (s. 90-100)
Nielsen, P. R., Jensen, N.-P.
, Dyrmann, M., Nielsen, P.-H.
& Nyholm Jørgensen, R. (2017).
RoboWeedSupport - Presentation of a cloud based system bridging the gap between in-field weed inspections and decision support systems.
Advances in Animal Biosciences,
8(2), 860-864.
https://doi.org/10.1017/S2040470017001054
Zahra, A., Kanwal, N.
, Rehman, N. U., Ehsan, S. & McDonald-Maier, K. D. (2017).
Seizure detection from EEG signals using Multivariate Empirical Mode Decomposition.
Computers in Biology and Medicine,
88, 132-141.
https://doi.org/10.1016/j.compbiomed.2017.07.010
Fu, C.
, Sarabakha, A., Kayacan, E., Wagner, C., John, R. & Garibaldi, J. M. (2017).
Similarity-based Non-Singleton Fuzzy Logic Control for Improved Uncertainty Handling in Quadrotor UAVs. I
Fuzzy Systems (FUZZ-IEEE), 2017 IEEE International Conference on (s. 1-6). IEEE.
https://doi.org/10.1109/FUZZ-IEEE.2017.8015440
Liu, L., Yan, R.-J., Maruvanchery, V.
, Kayacan, E., Chen, I.-M. & Kong Tiong, L. (2017).
Transfer learning on convolutional activation feature as applied to a building quality assessment robot.
International Journal of Advanced Robotic Systems,
14(3), 1-12.
https://doi.org/10.1177/1729881417712620
Lausdahl, K. G., Bjerge, K., Bokhove, T., Groen, F.
& Larsen, P. G. (2017).
Transitioning from Crescendo to INTO-CPS. I J. S. Fitzgerald, P. W. V. Tran-Jørgensen & T. Oda (red.),
The 15th Overture Workshop: New Capabilities and Applications for Model-based Systems Engineering: Proceedings (s. 16-30). Newcastle University.
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
Govdeli, Y., Wei Wong, Z.
& Kayacan, E. (2016).
ADDITIVE MANUFACTURING OF UNMANNED AERIAL VEHICLES: CURRENT STATUS, RECENT ADVANCES, AND FUTURE PERSPECTIVES. I C. K. Chua, W. Y. Yeong, M. J. Tan, E. Liu & S. B. Tor (red.),
Proc. of the 2nd Intl. Conf. on Progress in Additive Manufacturing (s. 39-48). Research Publishing, Singapore.
https://dr.ntu.edu.sg/bitstream/handle/10220/41825/Additive%20Manufacturing%20of%20Unmanned%20Aerial%20Vehicles-Current%20Status%2C%20Recent%20Advances%2C%20and%20Future%20Perspectives.pdf?sequence=1&isAllowed=y
Ehsan, S., Clark, A., Leonardis, A.
, Rehman, N. U., Khaliq, A., Fasli, M. & McDonald-Maier, K. (2016).
A Generic Framework for Assessing the Performance Bounds of Image Feature Detectors.
Remote Sensing,
8(11), 928.
https://doi.org/10.3390/rs8110928
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.
, 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), Artikel 2089.
https://doi.org/10.3390/s16122089
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
Christiansen, P., N. Nielsen, L., A. Steen, K.
, Nyholm Jørgensen, R. & Karstoft, H. (2016).
DeepAnomaly: Combining Background Subtraction and Deep Learning for Detecting Obstacles and Anomalies in an Agricultural Field.
Sensors,
16(11), Artikel 1904.
https://doi.org/10.3390/s16111904
Thanh Nguyen, T., Vandevoorde, K., Wouters, N.
, Kayacan, E., G. de Baerdemaeker, J. & Saeys, W. (2016).
Detection of red and bicoloured apples on tree with an RGB-D camera.
Biosystems Engineering,
146, 33-44.
https://doi.org/10.1016/j.biosystemseng.2016.01.007
Laursen, M. S., Nyholm Jørgensen, R., Midtiby, H. S., Jensen, K.
, Christiansen, M. P., Giselsson, T. M.
, Mortensen, A. K. & Jensen, P. K. (2016).
Dicotyledon Weed Quantification Algorithm for Selective Herbicide Application in Maize Crops.
Sensors,
16(11), Artikel 1848.
https://doi.org/10.3390/s16111848
Olsson, P.-I.
, Fiandaca, G., Larsen, J. J., Dahlin, T.
& Auken, E. (2016).
Doubling the spectrum of time-domain induced polarization by harmonic de-noising, drift correction, spike removal, tapered gating and data uncertainty estimation.
Geophysical Journal International,
207(2), 774-784. Artikel ggw260.
https://doi.org/10.1093/gji/ggw260
Fiandaca, G., Olsson, P. I.
, Larsen, J. J., Dahlin, T.
& Auken, E. (2016).
Doubling the spectrum of time-domain induced polarization by harmonic de-noising, drift/spike removal and tapered gating. I
22nd European Meeting of Environmental and Engineering Geophysics, Near Surface Geoscience 2016 European Association of Geoscientists and Engineers, EAGE.
https://doi.org/10.3997/2214-4609.201602021