The electrical grid was not designed for the transmission of communication signals, which
are affected by impedance variations, attenuation, and Non-Intentional Emissions (NIEs) in …

Accurate modeling of electrochemical sources is very important to predict how a source will
perform in specific applications related to the load or environmental parameters. A Randles …

Impedance measurement is a common technique to characterize and detect the electrical
properties of biological cells. However, to decode the underlying physical processes, it …

A data-driven scheme for modeling electrical impedance in biosensors is presented by a
subspace method working with the singular value decomposition of structured voltage and …

Due to the importance and dangerousness of large-scale production processes, the
accuracy and reliability of fault diagnosis approaches are critical for safe operation. In this …

A hidden Markov model (HMM) comprises a state with Markovian dynamics that is hidden in
the sense that it can only be observed via a noisy sensor. This thesis considers three themes …

2R-1C equivalent circuit is widely used in electrochemical impedance spectroscopy (EIS),
such as modelling of lithium-ion batteries, bioimpedance analysis and water quality …