Results 71 to 80 of about 389,267 (294)

Rolling bearing state assessment based on the composite multiscale weight slope entropy and hierarchical prototype-based approach

open access: yesAdvances in Mechanical Engineering, 2022
To evaluate the state of rolling bearing more accurately, a new feature called composite multiscale weight slope entropy was proposed for the complexity measurement of vibration signals.
Jinbao Zhang   +4 more
doaj   +1 more source

Wide Range Multiscale Entropy Changes through Development

open access: yes, 2015
How variability in the brain’s neurophysiologic signals evolves during development is important for a global, system-level understanding of brain maturation and its disturbance in neurodevelopmental disorders.
Tetsuya Takahashi   +6 more
core   +1 more source

High‐Entropy Alloy Interlayers Toward Advanced Joining for High‐Performance Structural Applications: Current Progress and Emerging Challenges

open access: yesAdvanced Engineering Materials, EarlyView.
HEA interlayers offer a versatile route for joining high‐performance structural materials. Their compositional and structural design regulates interfacial reactions, suppresses brittle IMCs, and improves metallurgical bonding. Sandwich interlayers further integrate defect healing with precipitation strengthening, enabling improved strength–ductility ...
Lin Yuan   +4 more
wiley   +1 more source

Multiscale Fluctuation-Based Dispersion Entropy and Its Applications to Neurological Diseases

open access: yesIEEE 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

Dynamical glucometry: Use of multiscale entropy analysis in diabetes [PDF]

open access: yesChaos: 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

Is There a Unique Physical Entropy? Micro versus Macro [PDF]

open access: yes, 2012
Entropy in thermodynamics is an extensive quantity, whereas standard methods in statistical mechanics give rise to a non-extensive expression for the entropy. This discrepancy is often seen as a sign that basic formulas of statistical mechanics should be
Dieks, D.G.B.J.   +4 more
core   +1 more source

Classification of Hepatitis Viruses from Sequencing Chromatograms Using Multiscale Permutation Entropy and Support Vector Machines

open access: yes, 2019
Classifying nucleic acid trace files is an important issue in molecular biology researches. For the purpose of obtaining better classification performance, the question of which features are used and what classifier is implemented to best represent the ...
Aşkın, Öyküm Esra   +3 more
core   +1 more source

Structure‐Guided Dynamical Mechanics in Bioinspired Double Twisted Laminated Thin Films

open access: yesAdvanced 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

Refined Composite Multiscale Fluctuation Dispersion Entropy and Supervised Manifold Mapping for Planetary Gearbox Fault Diagnosis

open access: yesMachines, 2023
A novel fault diagnosis scheme was developed to address the difficulty of feature extraction for planetary gearboxes using refined composite multiscale fluctuation dispersion entropy (RCMFDE) and supervised manifold mapping. The RCMFDE was first utilized
Haocheng Su   +5 more
doaj   +1 more source

Networks Multiscale Entropy Analysis

open access: yes
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

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