Wissenschaftliche Publikationen - AG "Intelligente Sensorik"

2019

S. Skibinski, "Extraction, localization, and fusion of collective vehicle data", Dissertation, Universität Dortmund, 2019.
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D. Fisseler, "Contributions to computer-aided analysis of cuneiform tablet fragments", Dissertation, Universität Dortmund, 2019.
 Link
J. Deuse, L. Stankiewicz, R. Zwinkau and F. Weichert, "Automatic generation of methods-time measurement analyses for assembly tasks from motion capture data using convolutional neuronal networks - A proof of concept" , Advances in Human Factors and Systems Interaction (AHFE 2019), Advances in Intelligent Systems and Computing, vol. 959, pp. 141-150, 2019.
E. Rusakov, K. Brandenbusch, D. Fisseler, T. Somel, G. A. Fink, F. Weichert and G. Müller, "Generating Cuneiform Signs with Cycle-Consistent Adversarial Networks" , International Workshop on Historical Document Imaging and Processing (HIP19) , pp. 19-24, 2019.

2018

N. Kriege, M. Fey, D. Fisseler, P. Mutzel and F. Weichert, "Recognizing Cuneiform Signs Using Graph Based Methods" in International Workshop on Cost-Sensitive Learning (COST), 2018.
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M. Fey, J. E. Lenssen, F. Weichert and H. Müller, "SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels" in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. pp. 869-877.
 Datei
A. Toma, A. Starinow, J. E. Lenssen and J. Chen, "Saving Energy for Cloud Applications in Mobile Devices using Nearby Resources" in 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP), 2018.
D. Bachmann, F. Weichert and G. Rinkenauer, "Review of three-dimensional Human-Computer Interaction with Focus on the Leap Motion Controller" , Sensors, vol. 18, pp. 1-39, 2018.
 10.3390/s18072194
D. Bachmann, F. Bökler, J. Kopec, K. Popp, B. Schwarze and F. Weichert, "Multi-Objective Optimisation based Planning of Power-Line Grid Expansions" , ISPRS International Journal of Geo-Information, vol. 7, pp. 1-22, 2018.
 10.3390/ijgi7070258
J. E. Lenssen, A. Toma, A. Seebold, V. Shpacovitch, P. Libuschewski, F. Weichert, J. Chen and R. Hergenröder, "Real-Time Low SNR Signal Processing for Nanoparticle Analysis with Deep Neural Networks" , 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), vol. 4 (BIOSIGNALS), pp. 36-47, 2018.
W. Tillmann, C. Schaak, J. Zajaczkowski, H. Müller, D. Hegels, M. Gaspar, B. Kuhlenkötter and D. D. Störkle, "Investigation into the properties of HVOF-sprayed WC-Co coatings on plane and complex surfaces, manufactured with an evolution-based path planning method" , Thermal Spray Bulletin, vol. 11, 2018.
D. Stoller, I. Vatolkin and H. Müller, "Intuitive and efficient computer aided music rearrangement with optimised processing of audio transitions" , Journal of New Music Research (accepted for publication), 2018.
J. E. Lenssen, M. Fey and P. Libuschewski, "Group Equivariant Capsule Networks" in Neural Information Processing Systems (NIPS) 32, 2018.
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2017

J. E. Lenssen, V. Shpacovitch and F. Weichert, "Real-time Virus Size Classification using Surface Plasmon Resonance and Convolutional Neural Networks" , Bildverarbeitung für die Medizin 2017, pp. 98-103, 2017.
D. Fisseler, G. Müller and F. Weichert, "Web-Based Scientific Exploration and Analysis of 3D Scanned Cuneiform Datasets for Collaborative Research" , Informatics, vol. 4, pp. 1-16, 2017.
 10.3390/informatics4040044
H. Müller and F. Weichert, Vorkurs Informatik - Der Einstieg ins Informatikstudium (2017). .... 5 Springer Vieweg, 2017.
D. Siedhoff, M. Strauch, V. Shpacovitch and D. Merhof, "Unsupervised Data Analysis for Virus Detection with a Surface Plasmon Resonance Sensor" in IEEE International Conference on Image Processing Theory, Tools and Applications (IPTA), 2017.
G. Rinkenauer, A. Böckenkamp and F. Weichert, "Man-Robot Collaboration in the Context of Industry 4.0: Approach-Avoidance Tendencies as an Indicator for the Affective Quality of Interaction?" , Advances in Ergonomic Design of Systems, Products and Processes: Proceedings of the Annual Meeting of GfA 2016, pp. 335-348, 2017.
D. Hegels, "Optimierung thermischer Verhältnisse bei der Bahnplanung für das thermische Spritzen mit Industrierobotern", Dissertation, Universität Dortmund, 2017.
 Datei
V. Shpacovitch, I. Sidorenko, J. E. Lenssen, V. Temchura, F. Weichert, H. Müller, K. Überla, A. Zybin, A. Schramm and R. Hergenröder, "Application of the PAMONO-sensor for Quantification of Microvesicles and Determination of Nano-particle Size Distribution" , Sensors, vol. 17, pp. 1-14, 2017.
 10.3390/s17020244
A. Böckenkamp, C. Mertens, C. Prasse, J. Stenzel and F. Weichert, "A Versatile and Scalable Production Planning and Control System for Small Batch Series" , Industrial Internet of Things: Cybermanufacturing Systems, Springer, pp. 541-559, 2017.
J. E. Lenssen, V. Shpacovitch, D. Siedhoff, P. Libuschewski, R. Hergenröder and F. Weichert, "A Review of Nano-Particle Analysis with the PAMONO-Sensor" , Biosensors: Advances and Reviews, IFSA Publishing, pp. 81-100, 2017.

2016

S. Skibinski, F. Weichert and H. Müller, "Parametric Fusion of Complex Landmark Observations Present Within the Road Network by Utilizing Bundle-Adjustment-based Full-SLAM" , International Conference of Information Fusion, FUSION 2016, pp. 917-926, 2016.
A. Böckenkamp, F. Weichert, J. Stenzel and D. Lünsch, "Towards Autonomously Navigating and Cooperating Vehicles in Cyber-Physical Production Systems" , ML4CPS - Machine Learning for Cyber Physical Systems and Industry 4.0, pp. 111-121, 2016.
 10.1007/978-3-662-48838-6_14
M. Wagner, B. Vicinus, S. Muthra, T. Richards, R. Linder, V. O. Frick, A. Groh, C. Rubie and F. Weichert, "Text Mining, A Race Against Time? An Attempt to Quantify Possible Variations in Text Corpora of Medical Publications Throughout the Years" , Computers in Biology and Medicine, vol. 73, pp. 173-185, 2016.