Dependability Evaluation in Industrial Automation

Related lectures (32)

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Explores parametric spectrum estimation methods, including line and smooth spectra, and delves into heart rate variability analysis.

Explores ergodicity and stationary distribution in Markov chains, emphasizing convergence properties and unique distributions.

Covers Markov Chain Monte Carlo examples and error estimation methods.

Explores electrokinetic devices, focusing on leveraging nanoscale structures to improve device performance and energy conversion.

Explores snowmelt phases, energy balance, water dynamics, and transport complexities in snow.

Explores Markov chains, Ising Model, Metropolis algorithm, and Glauber dynamics.

Covers the introduction and properties of Markov chains, including transition matrices and stochastic processes.

Explores neurobiological signal processing, including spike modeling, de-noising, and data classification techniques.

Explores the electrical analogy for radiation resistance and exchange in two-surface enclosures.

Explores systemic environmental assessment, national material flow analysis, and urban metabolism dashboard development for Zurich using open data.