Results 71 to 80 of about 411,209 (289)
Multiscale Information Propagation in Emergent Functional Networks
, 2021 Complex biological systems consist of large numbers of interconnected units, characterized by emergent properties such as collective computation. In spite of all the progress in the last decade, we still lack a deep understanding of how these properties ...
Arsham Ghavasieh, Manlio De Domenico
core +1 more source
Advanced Engineering Materials, EarlyView.Additive manufacturing introduces pronounced microstructural and crystallographic anisotropy in Ni‐based superalloys, resulting in orientation‐dependent creep deformation and damage. This review identifies the key microstructural origins of creep anisotropy, examines their influence on dominant deformation mechanisms, and highlights processing ...
Chandan Kumar +3 more
wiley +1 more source
Multiscale Fluctuation-Based Dispersion Entropy and Its Applications to Neurological Diseases
IEEE Access, 2019 Fluctuation-based dispersion entropy (FDispEn) is a new approach to estimate the dynamical variability of the fluctuations of signals. It is based on Shannon entropy and fluctuation-based dispersion patterns.
Hamed Azami +6 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.Microstructural evolution of premium rail steel during flash butt welding (FBW), comparing physically simulated heat‐affected zones with actual weld regions. Thermal cycles induce phase transformations and microstructural heterogeneity that influence weld quality and mechanical performance. These findings provide insights into optimizing FBW parameters
Emmanoelle Cintra da Cunha Araújo +15 more
wiley +1 more source
Dynamical glucometry: Use of multiscale entropy analysis in diabetes [PDF]
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2014 Diabetes mellitus (DM) is one of the world's most prevalent medical conditions. Contemporary management focuses on lowering mean blood glucose values toward a normal range, but largely ignores the dynamics of glucose fluctuations. We probed analyte time series obtained from continuous glucose monitor (CGM) sensors.
Costa, Madalena D. +4 more
openaire +2 more sources
Bi-filter multiscale-diversity-entropy-based weak feature extraction for a rotor-bearing system [PDF]
, 2023 Multiscale-based entropy methods have proven to be a promising tool for extracting fault information due to their high feature extraction ability and easy application.
Wang, X +4 more
core +1 more source
Structure‐Guided Dynamical Mechanics in Bioinspired Double Twisted Laminated Thin Films
Advanced Functional Materials, EarlyView.This work explores a dynamic mechanistic study of crack propagation and puncture testing via real‐time monitoring of crack initiation, propagation, and termination through nature‐inspired single and double twisted architectures fabricated from cellulose nanocrystals.
Justin Brackenridge +4 more
wiley +1 more source
Networks Multiscale Entropy Analysis
Abstract Understanding the structural complexity and predictability of complex networks is a central challenge in network science. Although recent studies have revealed a relationship between compression-based entropy and link prediction performance, existing methods focus on single-scale representations.
Andres Abeliuk +2 more
openaire +3 more sources
Entropy of Simulated Liquids Using Multiscale Cell Correlation [PDF]
Entropy, 2019 Accurately calculating the entropy of liquids is an important goal, given that many processes take place in the liquid phase. Of almost equal importance is understanding the values obtained. However, there are few methods that can calculate the entropy of such systems, and fewer still to make sense of the values obtained. We present our multiscale cell
Hafiz Saqib Ali +2 more
openaire +5 more sources
Composite Multiscale Transition Permutation Entropy-Based Fault Diagnosis of Bearings
Sensors, 2022 When considering the transition probability matrix of ordinal patterns, transition permutation entropy (TPE) can effectively extract fault features by quantifying the irregularity and complexity of signals.
Jing Guo +4 more
doaj +1 more source