Heart rate variability in psychology: A review of HRV indices and an analysis tutorial
The use of heart rate variability (HRV) in research has been greatly popularized over the
past decades due to the ease and affordability of HRV collection, coupled with its clinical …
past decades due to the ease and affordability of HRV collection, coupled with its clinical …
The entropy algorithm and its variants in the fault diagnosis of rotating machinery: A review
Rotating machines have been widely used in industrial engineering. The fault diagnosis of
rotating machines plays a vital important role to reduce the catastrophic failures and heavy …
rotating machines plays a vital important role to reduce the catastrophic failures and heavy …
SEIR modeling of the COVID-19 and its dynamics
In this paper, a SEIR epidemic model for the COVID-19 is built according to some general
control strategies, such as hospital, quarantine and external input. Based on the data of …
control strategies, such as hospital, quarantine and external input. Based on the data of …
Multiscale convolutional neural networks for fault diagnosis of wind turbine gearbox
This paper proposes a novel intelligent fault diagnosis method to automatically identify
different health conditions of wind turbine (WT) gearbox. Unlike traditional approaches …
different health conditions of wind turbine (WT) gearbox. Unlike traditional approaches …
An interpretable machine learning model for accurate prediction of sepsis in the ICU
Objectives: Sepsis is among the leading causes of morbidity, mortality, and cost overruns in
critically ill patients. Early intervention with antibiotics improves survival in septic patients …
critically ill patients. Early intervention with antibiotics improves survival in septic patients …
Intelligent fault diagnosis for rail transit switch machine based on adaptive feature selection and improved LightGBM
The turnout switch machine is the critical equipment of the signal system, which has a
significant influence on the efficiency and safety of train operation. However, most fault …
significant influence on the efficiency and safety of train operation. However, most fault …
Belief entropy-of-entropy and its application in the cardiac interbeat interval time series analysis
H Cui, L Zhou, Y Li, B Kang - Chaos, Solitons & Fractals, 2022 - Elsevier
How to measure the complexity of physiological signals in biological system is an open
problem. Various entropy algorithms have been presented, but most of them fail to account …
problem. Various entropy algorithms have been presented, but most of them fail to account …
Impact of drought and heat stress individually and in combination on physio-biochemical parameters, antioxidant responses, and gene expression in Solanum …
The present study was carried out to investigate the effect of individual drought, heat, and
combined drought and heat stress on tomato plants. Combined stress resulted in the higher …
combined drought and heat stress on tomato plants. Combined stress resulted in the higher …
[BOK][B] Multiple time scale dynamics
C Kuehn - 2015 - Springer
This book aims to provide an introduction to dynamical systems with multiple time scales. As
in any overview book, several topics are covered only quite briefly. My aim was to focus on …
in any overview book, several topics are covered only quite briefly. My aim was to focus on …
Rolling bearing fault detection and diagnosis based on composite multiscale fuzzy entropy and ensemble support vector machines
J Zheng, H Pan, J Cheng - Mechanical Systems and Signal Processing, 2017 - Elsevier
To timely detect the incipient failure of rolling bearing and find out the accurate fault location,
a novel rolling bearing fault diagnosis method is proposed based on the composite …
a novel rolling bearing fault diagnosis method is proposed based on the composite …