Publications

Vektoroptimierung: Theorie, Verfahren und Anwendungen. In Alfred [Verfasser/in] Göpfert, und Reinhard [Verfasser/in] Nehse (Hrsg.), Mathematisch-naturwissenschaftliche Bibliothek ; 74, Teubner, Leipzig, 1990. [PUMA: Linear Mathematical Mehrkriterielle Multiple Optimierung Vector criteria decision importzotero making. optimization. spaces. topological]

Adrian Eisenmann, Tim Streubel, und Krzysztof Rudion. Manual Configuration and Best Setup of Support Vector Machines for Power Quality Classification.. Juni 2021. [PUMA: Best Classification. Configuration Machines Manual Power Quality Setup Support Vector and for of]

J. Antes, und I. Kallfass. Performance Estimation for Broadband Multi-Gigabit Millimeter and Sub-Millimeter Wave Wireless Communication Links. IEEE Trans. on Microwave Theory and Techniques, (63)10:3288--3299, 2015. [PUMA: (BER);complex (EVM);millimeter-wave (MMICs);performance (SER);wireless (mmw) amplitude bandwidths;in-phase broadband channels;E-band characteristics;performance circuits communication communication;Bit communication;mmw error error;submillimeter-wave estimation;performance estimation;symbol factor;local frequency frontend frontend;broadband imbalance;in-phase imbalance;limiting imbalance;quadrature imperfection;performance integrated keying keying;radio limiting limits;quadrature links;broadband links;channel magnitude millimeter-wave modulated modulation modulation;error monolithic multigigabit networks;error networks;submillimetre noise;Wireless noise;extremely noise;nonideal noise;quadrature oscillator phase phase-shift range;symbol rate rate;Estimation;Modulation;Phase rates;wireless shift signals;relative statistics;millimetre submillimeter-wave systems;Bandwidth;Bit vector waves;phase waves;wireless wireless]

P. Karimifard, G. B. Gharehpetian, und Stefan Tenbohlen. Localization of Winding Radial Deformation and Determination of Deformation Extent using Vector Fitting-based Estimated Transfer Function. European Transactions on Electrical Power (ETEP), (19)5:749–762, Juli 2009. [PUMA: Deformation Determination Estimated Extent Fitting-based Function Localization Radial Transfer Vector Winding]

Maximilian Heindl, Stefan Tenbohlen, Juan Velásquez, Alexander Kraetge, und René Wimmer. Transformer Modelling Based On Frequency Response Measurements For Winding Failure Detection. 2010. [PUMA: Analysis Fitting Frequency Function High Modeling Power Reponse Resonance Transfer Transformer Transient Vector] URL

A. Stuhlsatz, C. Meyer, F. Eyben, T. Zielke, G. Meier, und B. Schuller. Deep neural networks for acoustic emotion recognition: Raising the benchmarks. 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 5688-5691, Mai 2011. [PUMA: Analysis; Computing;Deep Discriminant Networks;Emotion Neural Recognition;Generalized acoustic analysis;linear artificial classification;multilayer discriminant emotion extraction;Speech;Support extraction;neural feature;acoustic machine;Acoustics;Artificial machines;Affective machines;GerDA nets;support network;support networks;Databases;Emotion networks;generalized neural processing;emotion recognition;Feature recognition;deep recognition;feature signal vector]

Jens Friedrich, Christoph Hinze, Anton Renner, Alexander Verl, und Armin Lechler. Estimation of stability lobe diagrams in milling with continuous learning algorithms. Robotics and Computer-Integrated Manufacturing, -, 2015. [PUMA: Learning Milling Neural Process Support algorithms machines myown network stability vector xfh xlr xvl] URL

Jens Friedrich, Henning Hartmann, Alexander Verl, und Armin Lechler. Continuous learning support vector machine to estimate stability lobe diagrams in milling. Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing, University of Texas at San Antonio, 2014. [PUMA: Learning Milling Process Support algorithm isw machines myown stbaility vector xfh xlr xvl] URL

Thomas Richter. Spatial Constant Quantization in JPEG XR is Nearly Optimal. Data Compression Conference (DCC), 2010, 79-88, Snowbird, UT, März 2010. [PUMA: Annealing, Distortion JPEG Quantization, Rate Simulated Theory, Variable XR, coding, compression, data distortion image optimisation, quantisation rate theory, vector] URL

Thomas Richter. Spatial Constant Quantization in JPEG XR is Nearly Optimal. Data Compression Conference (DCC), 2010, 79-88, Snowbird, UT, März 2010. [PUMA: Annealing, Distortion JPEG Quantization, Rate Simulated Theory, Variable XR, coding, compression, data distortion image optimisation, quantisation rate theory, vector] URL