TY - JOUR A1 - Kaniusas, Eugenijus A1 - Pfützner, Helmut A1 - Mehnen, Lars T1 - Optical tissue absorption sensor on the thorax: Possibilities and restrictions JF - International Journal of Applied Electromagnetics and Mechanics KW - Tissue Absorption KW - Sensor KW - Thorax Y1 - 2018 VL - 25 IS - 1-4 SP - 649 EP - 655 ER - TY - JOUR A1 - Wöber, Wilfried A1 - Mehnen, Lars A1 - Curto, Manuel A1 - Dias Tibihika, Papius A1 - Tesfaye, Genanaw A1 - Meimberg, Harald T1 - Investigating Shape Variation Using Generalized Procrustes Analysis and Machine Learning JF - Applied Sciences N2 - Abstract: The biological investigation of a population’s shape diversity using digital images is typi- cally reliant on geometrical morphometrics, which is an approach based on user-defined landmarks. In contrast to this traditional approach, the progress in deep learning has led to numerous applications ranging from specimen identification to object detection. Typically, these models tend to become black boxes, which limits the usage of recent deep learning models for biological applications. However, the progress in explainable artificial intelligence tries to overcome this limitation. This study compares the explanatory power of unsupervised machine learning models to traditional landmark-based approaches for population structure investigation. We apply convolutional autoencoders as well as Gaussian process latent variable models to two Nile tilapia datasets to investigate the latent structure using consensus clustering. The explanatory factors of the machine learning models were extracted and compared to generalized Procrustes analysis. Hypotheses based on the Bayes factor are formulated to test the unambiguity of population diversity unveiled by the machine learning models. The findings show that it is possible to obtain biologically meaningful results relying on unsupervised machine learning. Furthermore we show that the machine learning models unveil latent structures close to the true population clusters. We found that 80% of the true population clusters relying on the convolutional autoencoder are significantly different to the remaining clusters. Similarly, 60% of the true population clusters relying on the Gaussian process latent variable model are significantly different. We conclude that the machine learning models outperform generalized Procrustes analysis, where 16% of the population cluster was found to be significantly different. However, the applied machine learning models still have limited biological explainability. We recommend further in-depth investigations to unveil the explanatory factors in the used model. Keywords: generalized procrustes analysis; machine learning; convolutional autoencoder; Gaussian process latent variable models KW - generalized procrustes analysis KW - machine learning KW - convolutional autoencoder KW - Gaussian process latent variable models Y1 - VL - 2022 IS - 12(6), 3158 ER - TY - JOUR A1 - Kaniusas, Eugenijus A1 - Pfützner, Helmut A1 - Mehnen, Lars A1 - Kosel, Jürgen A1 - Meydan, Turgut A1 - Vazquez, Manuel A1 - Rohn, Michael A1 - Merlo, Alberto Maria A1 - Marquardt, Bernd T1 - Dynamic Measuring of Inductivity Changes by Adaptive Controlling and Lock-in Technique JF - Journal of Electrical Engineering KW - Adaptive Controlling KW - Dynamic Measuring Y1 - 2019 VL - 2004 IS - 55 / 10 SP - 49 EP - 52 ER - TY - CHAP A1 - Kosel, Jürgen A1 - Mehnen, Lars A1 - Kaniusas, Eugenijus A1 - Pfützner, Helmut A1 - Meydan, Turgut A1 - Vazquez, Manuel A1 - Rohn, Michael A1 - Merlo, Alberto A1 - Marquardt, Bernd T1 - Non-Contact Signal Detection of Multifunctional Bilayer Sensors T2 - Eurosensors XVIII - Digest of Technical Papers KW - Signal Detection KW - Sensor Y1 - 2019 SP - 593 EP - 594 ER - TY - JOUR A1 - Pfützner, Helmut A1 - Kaniusas, Eugenijus A1 - Mehnen, Lars A1 - Meydan, Turgut A1 - Vazquez, Manuel A1 - Rohn, Michael A1 - Merlo, Alberto A1 - Marquardt, Bernd T1 - Magnetorestrictive bilayers for multi-functional sensor families JF - Sensors and Actuators A KW - Magnetism KW - Sensor Y1 - 2018 VL - 129 IS - 1 SP - 154 EP - 158 ER - TY - CHAP A1 - Kaniusas, Eugenijus A1 - Pfützner, Helmut A1 - Mehnen, Lars A1 - Kosel, Jürgen A1 - Sedlak, Richard-Reinhold A1 - Zakarevicius, Linas A1 - Alonderis, Audrius A1 - Varoneckas, Giedrius A1 - Meydan, Turgut A1 - Vazquez, Manuel A1 - Rohn, Michael A1 - Seccardini, Riccardo A1 - Marquardt, Bernd T1 - Magnetostrictive bending sensor for registration of eye movements and blink T2 - Proceedings of 7th International Conference on Biomedical Engineering, Kaunas (Lithuania) KW - Eye Movement KW - Magnetics KW - Sensor Y1 - 2019 SP - 131 EP - 135 ER - TY - CHAP A1 - Kaniusas, Eugenijus A1 - Pfützner, Helmut A1 - Mehnen, Lars A1 - Kosel, Jürgen T1 - Survey on the Biomedical Applicability of Magnetoelastic Bilayer Sensors T2 - Pranemisu tezes KW - Biomedicine KW - Magnetics KW - Sensor Y1 - 2019 SP - 36 ER - TY - CHAP A1 - Kosel, Jürgen A1 - Mehnen, Lars A1 - Kaniusas, Eugenijus A1 - Tellez-Blanco, Juan C. A1 - Pfützner, Helmut A1 - Meydan, Turgut A1 - Vazquez, Manuel A1 - Rohn, Michael A1 - Malvicino, Carlo A1 - Marquardt, Bernd A1 - Svec, Peter A1 - Duhaj, Pavel T1 - Manufacturing of Magnetorestrictive Macro Bilayers T2 - Soft Magnetic Materials KW - Magnetism KW - Manufacturing Y1 - 2019 SN - 3-514-00711-x SP - 621 EP - 626 PB - Stahleisen ER - TY - JOUR A1 - Kaniusas, Eugenijus A1 - Mehnen, Lars A1 - Pfützner, Helmut T1 - Magnetostrictive amorphous bilayers and trilayers for thermal sensors JF - Journal of Magnetism and Magnetic Materials KW - Magnetism KW - Sensor Y1 - IS - 254 - 255 SP - 624 EP - 626 ER - TY - GEN A1 - Obergruber, Julian A1 - Mehnen, Lars T1 - Development of a paraglide control system for automatic pitch stabilization to increase the passive safety KW - Paragliding KW - Safety Y1 - 2018 ER -