Complex network approaches to nonlinear time series analysis
In the last decade, there has been a growing body of literature addressing the utilization of
complex network methods for the characterization of dynamical systems based on time …
complex network methods for the characterization of dynamical systems based on time …
The internet of things for smart manufacturing: A review
The modern manufacturing industry is investing in new technologies such as the Internet of
Things (IoT), big data analytics, cloud computing and cybersecurity to cope with system …
Things (IoT), big data analytics, cloud computing and cybersecurity to cope with system …
Analyzing social interactions: the promises and challenges of using cross recurrence quantification analysis
The scientific investigation of social interactions presents substantial challenges: interacting
agents engage each other at many different levels and timescales (motor and physiological …
agents engage each other at many different levels and timescales (motor and physiological …
Loss of Earth system resilience during early Eocene transient global warming events
Superimposed on long-term late Paleocene–early Eocene warming (~ 59 to 52 million years
ago), Earth's climate experienced a series of abrupt perturbations, characterized by massive …
ago), Earth's climate experienced a series of abrupt perturbations, characterized by massive …
Discovering chaos-based communications by recurrence quantification and quantified return map analyses
Many studies show the possibility of transmitting messages in a protected and covert
manner using a noise-like chaotic waveform as a carrier. Among popular chaotic …
manner using a noise-like chaotic waveform as a carrier. Among popular chaotic …
Pattern recognition of cognitive load using EEG and ECG signals
R Xiong, F Kong, X Yang, G Liu, W Wen - Sensors, 2020 - mdpi.com
The matching of cognitive load and working memory is the key for effective learning, and
cognitive effort in the learning process has nervous responses which can be quantified in …
cognitive effort in the learning process has nervous responses which can be quantified in …
Detecting pattern transitions in psychological time series–A validation study on the Pattern Transition Detection Algorithm (PTDA)
K Viol, H Schöller, A Kaiser, C Fartacek, W Aichhorn… - Plos one, 2022 - journals.plos.org
With the increasing use of real-time monitoring procedures in clinical practice, psychological
time series become available to researchers and practitioners. An important interest …
time series become available to researchers and practitioners. An important interest …
Growth of resonances and chaos for a spinning test particle in the Schwarzschild background
O Zelenka, G Lukes-Gerakopoulos, V Witzany… - Physical Review D, 2020 - APS
Inspirals of stellar-mass compact objects into supermassive black holes are known as
extreme mass ratio inspirals. In the simplest approximation, the motion of the compact object …
extreme mass ratio inspirals. In the simplest approximation, the motion of the compact object …
Point cloud based online detection of geometric defects for the certification of additively manufactured mechanical metamaterials
Unlike conventional materials, the properties of a mechanical metamaterial are governed by
its periodically-arranged unit cells. It is critical to precisely realize the designed unit cell …
its periodically-arranged unit cells. It is critical to precisely realize the designed unit cell …
Spatiotemporal differentiation of myocardial infarctions
Myocardial infarction (MI), also known as a heart attack, is the leading cause of death in the
US It often occurs due to the occlusion of coronary arteries, thereby leading to insufficient …
US It often occurs due to the occlusion of coronary arteries, thereby leading to insufficient …