Search Results for author: Andreas Hartel

Found 8 papers, 1 papers with code

Deep Learning-Based Position Detection for Hydraulic Cylinders Using Scattering Parameters

no code implementations1 Sep 2022 Chen Xin, Thomas Motz, Wolfgang Fuhl, Andreas Hartel, Enkelejda Kasneci

A typical traditional method is to excite electromagnetic waves in the cylinder structure and analytically solve the piston position based on the scattering parameters measured by a sensor.


Explainable Online Validation of Machine Learning Models for Practical Applications

no code implementations2 Oct 2020 Wolfgang Fuhl, Yao Rong, Thomas Motz, Michael Scheidt, Andreas Hartel, Andreas Koch, Enkelejda Kasneci

The presented algorithm based on conditional probabilities is also online capable and requires only a fraction of memory compared to the kNN algorithm.

BIG-bench Machine Learning General Classification +1

Demonstrating Advantages of Neuromorphic Computation: A Pilot Study

no code implementations8 Nov 2018 Timo Wunderlich, Akos F. Kungl, Eric Müller, Andreas Hartel, Yannik Stradmann, Syed Ahmed Aamir, Andreas Grübl, Arthur Heimbrecht, Korbinian Schreiber, David Stöckel, Christian Pehle, Sebastian Billaudelle, Gerd Kiene, Christian Mauch, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici

Neuromorphic devices represent an attempt to mimic aspects of the brain's architecture and dynamics with the aim of replicating its hallmark functional capabilities in terms of computational power, robust learning and energy efficiency.

Demonstrating Hybrid Learning in a Flexible Neuromorphic Hardware System

no code implementations18 Apr 2016 Simon Friedmann, Johannes Schemmel, Andreas Gruebl, Andreas Hartel, Matthias Hock, Karlheinz Meier

This processor is operating in parallel with a fully parallel neuromorphic system consisting of an array of synapses connected to analog, continuous time neuron circuits.

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