Michael Schiek

According to our database, Michael Schiek authored at least 18 papers between 2007 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

A Network Simulator for the Estimation of Bandwidth Load and Latency Created by Heterogeneous Spiking Neural Networks on Neuromorphic Computing Communication Networks.

R. Kleijnen, Markus Robens, Michael Schiek, Stefan van Waasen

Proceedings of the 14th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2021

Effective Low-Pass Filter Function Due to the Use of a Comb Filter and Virtual Oversampling.

Markus Robens, Christian Grewing, Michael Schiek, Stefan van Waasen

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

2020

Requirement-driven model-based development methodology applied to the design of a real-time MEG data processing unit.

Tao Chen, Michael Schiek, Jürgen Dammers, N. Jon Shah, Stefan van Waasen

Softw. Syst. Model., 2020

Simulating Heterogeneous Models on Multi-Core Platforms using Julia's Computing Language Parallel Potential.

Sergey Suslov, Michael Schiek, Markus Robens, Christian Grewing, Stefan van Waasen

Proceedings of the 24th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, 2020

2019

Iterative Learning Wave Control of a 20 Actuator System for External Flow Research.

F. Seidler, Michael Schiek, Wolfgang Silex, Roger Heil, Stefan van Waasen, Dirk Abel

Proceedings of the 6th International Conference on Control, 2019

2018

Variational Bayesian inversion for hierarchical unsupervised generative embedding (HUGE).

Yu Yao, Sudhir Raman, Michael Schiek, Alexander P. Leff, Stefan Frässle, Klaas E. Stephan

NeuroImage, 2018

Iterative Learning Control and Decoupling of Lorentz Force Based Actuator Systems for Turbulence Research.

F. Seidler, Michael Schiek, Wolfgang Silex, Roger Heil, Stefan van Waasen, Dirk Abel

Proceedings of the IEEE Conference on Control Technology and Applications, 2018

2017

Smooth wavelength transition in a Lorentz force based actuator system for turbulence research.

Sebastian Völkel, Roger Heil, Michael Schiek, Mario Schlösser, Wolfgang Silex, Stefan van Waasen

Proceedings of the 2017 IEEE SENSORS, Glasgow, United Kingdom, October 29, 2017

Sensors for waveform control in a Lorentz force based actuator system for turbulence research.

F. Seidler, Michael Schiek, Wolfgang Silex, Roger Heil, Stefan van Waasen, Dirk Abel

Proceedings of the 2017 IEEE SENSORS, Glasgow, United Kingdom, October 29, 2017

Model-Driven Development Methodology Applied to Real-Time MEG Signal Preprocessing System Design.

Tao Chen, Sergey Suslov, Michael Schiek, N. Jon Shah, Stefan van Waasen, Jürgen Dammers

Proceedings of the 2017 European Modelling Symposium (EMS), 2017

2016

Multiple Vital-Sign-Based Infection Screening Outperforms Thermography Independent of the Classification Algorithm.

Yu Yao, Guanghao Sun, Takemi Matsui, Yukiya Hakozaki, Stefan van Waasen, Michael Schiek

IEEE Trans. Biomed. Eng., 2016

2015

iNODE in-vivo testing for selective vagus nerve recording and stimulation.

Oscar F. Cota, Mario Schlösser, Michael Schiek, Thomas Stieglitz, Mortimer Gierthmuehlen, Dennis T. T. Plachta

Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015

Transversal surface wave control by gain switching iterative learning improving research on active turbulent flow control.

Marcel Dueck, Dirk Abel, Stefan van Waasen, Michael Schiek

Proceedings of the 2015 5th Australian Control Conference (AUCC), Gold Coast, 2015

2014

Model-Based Verification of a Non-Linear Separation Scheme for Ballistocardiography.

Yu Yao, Christoph Brüser, Uwe Pietrzyk, Steffen Leonhardt, Stefan van Waasen, Michael Schiek

IEEE J. Biomed. Health Informatics, 2014

A non-parametric model for Ballistocardiography.

Yu Yao, J. Schiefer, Stefan van Waasen, Michael Schiek

Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

2011

Distributed Intelligent Sensor Network for the Rehabilitation of Parkinson's Patients.

Hong Ying, Mario Schlösser, Andreas Schnitzer, Thorsten Schäfer, Marianne E. Schläfke, Steffen Leonhardt, Michael Schiek

IEEE Trans. Inf. Technol. Biomed., 2011

2008

Integration of Amplitude and Phase Statistics for Complete Artifact Removal in Independent Components of Neuromagnetic Recordings.

Jürgen Dammers, Michael Schiek, Frank Boers, Carmen Silex, Mikhail Zvyagintsev, Uwe Pietrzyk, Klaus Mathiak

IEEE Trans. Biomed. Eng., 2008

2007

Automatic Step Detection in the Accelerometer Signal.

Hong Ying, Carmen Silex, Andreas Schnitzer, Steffen Leonhardt, Michael Schiek

Proceedings of the 4th International Workshop on Wearable and Implantable Body Sensor Networks, 2007