Results 81 to 90 of about 1,309,182 (144)

Regularized Joint Reconstruction and Slab Combination for Accelerated Three‐Dimensional Multi‐Slab Diffusion‐Weighted Imaging Using Multi‐Scale Energy Models

Magnetic Resonance in Medicine, Volume 96, Issue 5, Page 2321-2335, November 2026.
ABSTRACT Purpose To jointly reconstruct high‐resolution diffusion‐weighted volumes and eliminate slab‐boundary artifacts while preserving fine anatomical detail from undersampled 3D multi‐slab k‐space acquisitions. Methods A bilinear forward model was formulated to describe the 3D multi‐slab acquisition, treating the image volume and slab excitation ...
Reza Ghorbani, Jyothi Rikhab Chand, Chu‐Yu Lee, Mathews Jacob, Merry Mani   +4 more
wiley   +1 more source

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

Advanced Engineering Materials, Volume 28, Issue 20, 21 October 2026.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani, Mohamed‐Ali Belloum, Laurence Boudet, Valentin Fouillard, Edwin Friedmann, Guillaume Lacharme, Ali Mahmoud, Jean‐Philippe Poli   +7 more
wiley   +1 more source

Time-Shift Multiscale Fuzzy Entropy and Laplacian Support Vector Machine Based Rolling Bearing Fault Diagnosis

, 2018
Multiscale entropy (MSE), as a complexity measurement method of time series, has been widely used to extract the fault information hidden in machinery vibration signals.
Xiaolong Zhu, Yifang Zhang, Jiahan Bao, Haiyang Pan, Jinde Zheng   +4 more
core   +1 more source

Fuzzy entropy clustering

, 2000
The well-known generalization of hard C-means (HCM) clustering is fuzzy C-means (FCM) clustering where a weight exponent on each fuzzy membership is introduced as the degree of fuzziness.
Wagner, Michael, Tran, Dat; id_orcid, D. Tran, M. Wagner   +3 more
core   +1 more source

Refined Generalized Multivariate Multiscale Fuzzy Entropy: A Preliminary Study on Multichannel Physiological Complexity During Postural Changes

, 2018
We propose a novel approach to characterize the complexity of multivariate physiological processes over multiple time scales, which hereinafter we call Refined Generalized Multivariate Multiscale Fuzzy Entropy (ReGeM-MFE).
Gaetano Valenza, Scilingo, Enzo Pasquale, Nardelli, Mimma, Enzo Pasquale Scilingo, Mimma Nardelli, Valenza, Gaetano   +5 more
core   +1 more source

Composite Interpolation-Based Multiscale Fuzzy Entropy and Its Application to Fault Diagnosis of Rolling Bearing

, 2019
Multiscale fuzzy entropy (MFE), as an enhanced multiscale sample entropy (MSE) method, is an effective nonlinear method for measuring the complexity of time series.
Jinyu Tong, Jiahan Bao, Qingyun Liu, Haiyang Pan, Jinde Zheng   +4 more
core   +1 more source

SUPERSEDED - Matlab codes for "Refined Multiscale Fuzzy Entropy based on Standard Deviation for Biomedical Signal Analysis"

, 2016
## This item has been superseded. It contained code for Azami, H., Fernández, A. & Escudero, J. Refined multiscale fuzzy entropy based on standard deviation for biomedical signal analysis. Med Biol Eng Comput 55, 2037–2052 (2017). For up-to-date versions
Azami, Hamed, Escudero, Javier
core   +1 more source

Dual-View Complementary Multiscale Entropy Fusion for Rotating-Machinery Fault Diagnosis. [PDF]

Entropy (Basel)
Xiao W, Zhang Y, Xu R.
europepmc   +1 more source

A Novel Gear Fault Diagnosis Method Based on COA-VMD, RCMFE and SSA-BP. [PDF]

Entropy (Basel)
Chen D, Lv H, Li X, Liang W, Bai K, Zhao X, Cao L, Zhou X.   +7 more
europepmc   +1 more source

EEG complexity analysis using enhanced entropy features for depression detection and severity classification. [PDF]

J Neuroeng Rehabil
Shirazi DM, Mohebbi M, Abolfathi Y, Rostami R.   +3 more
europepmc   +1 more source