Thomas Stemler

Dr, MSc PhD Darmstadt (Germany)

  • The University of Western Australia (M019), 35 Stirling Highway,

    6009 Perth

    Australia

  • 222 Citations
  • 9 h-Index
20032020
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Personal profile

Keywords

  • Dynamical systems
  • Stochastic resonance
  • Time series modelling

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 4 Similar Profiles
Time series Mathematics
Stochastic Resonance Mathematics
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Synchronization Engineering & Materials Science

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Research Output 2003 2019

  • 222 Citations
  • 9 h-Index
  • 34 Article
  • 1 Conference paper
  • 1 Doctoral Thesis

Consistency in echo-state networks

Lymburn, T. M., Khor, A. J., Stemler, T., Correa, D., Small, M. & Jungling, T., 11 Feb 2019, In : Chaos: an interdisciplinary journal of nonlinear science. 29, 2, p. 1-9 9 p., 023118.

Research output: Contribution to journalArticle

Open Access
File
Echo State Network
Nonlinear systems
echoes
Synchronization
Neural networks

Optimal Shadowing Filter for Positioning and Tracking Methodology with Limited Information

Zaitouny, A., Stemler, T. & Algar, S., 22 Feb 2019, In : Sensors. 19, 4, 931.

Research output: Contribution to journalArticle

Open Access
positioning
Noise
Trajectories
methodology
Sampling
1 Citation (Scopus)

Fault detection in vibration systems: Identifying damaged moorings

Begg, S. E., Fowkes, N., Stemler, T. & Cheng, L., 15 Sep 2018, In : Ocean Engineering. 164, p. 577-589 13 p.

Research output: Contribution to journalArticle

Mooring
Fault detection
Stiffness
Modal analysis

Nonlinear time series analysis using ordinal networks with select applications in biomedical signal processing

McCullough, M. H., 2018, (Unpublished)

Research output: ThesisDoctoral Thesis

File
Time series analysis
Chaotic systems
Time series
Topology
Biomedical signal processing

Prediction of flow dynamics using point processes

Hirata, Y., Stemler, T., Eroglu, D. & Marwan, N., 1 Jan 2018, In : Chaos. 28, 1, 011101.

Research output: Contribution to journalArticle

Dynamic Process
Point Process
Time series
Cross section
Prediction

Projects 2010 2020