Voltage fault diagnosis and prognosis of battery systems based on entropy and Z-score for electric vehicles
Monitoring of battery systems is of critical importance for guaranteeing safe and reliable
operation of electric vehicles (EVs). Fault diagnosis is responsible for discovering …
operation of electric vehicles (EVs). Fault diagnosis is responsible for discovering …
An Epileptic Seizure Detection Technique Using EEG Signals with Mobile Application Development
Epileptic seizure detection classification distinguishes between epileptic and non-epileptic
signals and is an important step that can aid doctors in diagnosing and treating epileptic …
signals and is an important step that can aid doctors in diagnosing and treating epileptic …
A parametric approach to acoustic entropy estimation for assessment of fatigue damage
A parametric approach to estimating the acoustic entropy detected over the course of fatigue
damage is presented. Information entropy and relative entropy is estimated through a …
damage is presented. Information entropy and relative entropy is estimated through a …
Improving quality of sample entropy estimation for continuous distribution probability functions
J Miśkiewicz - Physica A: Statistical Mechanics and its Applications, 2016 - Elsevier
Entropy is a one of the key parameters characterizing state of system in statistical physics.
Although, the entropy is defined for systems described by discrete and continuous …
Although, the entropy is defined for systems described by discrete and continuous …
Fisher information framework for time series modeling
RC Venkatesan, A Plastino - Physica A: Statistical Mechanics and its …, 2017 - Elsevier
A robust prediction model invoking the Takens embedding theorem, whose working
hypothesis is obtained via an inference procedure based on the minimum Fisher information …
hypothesis is obtained via an inference procedure based on the minimum Fisher information …