Results 61 to 70 of about 781,500 (170)

Analysis of electroencephalograms in Alzheimer's disease patients with multiscale entropy [PDF]

open access: yes, 2006
The aim of this study was to analyse the electroencephalogram ( EEG) background activity of Alzheimer's disease ( AD) patients using multiscale entropy (MSE). MSE is a recently developed method that quantifies the regularity of a signal on different time
Escudero, J.; id_orcid   +9 more
core   +1 more source

Complexity Analysis of Three-Dimensional Fractional-Order Chaotic System Based on Entropy Theory

open access: yesIEEE Access, 2021
Complexity analysis of fractional-order chaotic system is an interesting topic in recent years. How to measure the complexity of fractional-order chaotic system correctly and effectively is the basis of its theoretical analysis and engineering ...
Guohui Li, Xiangyu Zhang, Hong Yang
doaj   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

open access: yesAdvanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

Rolling bearing fault diagnosis method based on GJO–VMD, multiscale fuzzy entropy, and GSABO–BP neural network

open access: yesAn International Journal of Optimization and Control: Theories & Applications (IJOCTA)
Accurate fault diagnosis of rolling bearings is hindered by the weak nature of early fault signals and the limited availability of labeled data, especially under small-sample conditions.
Jingsong Zhang   +7 more
semanticscholar   +1 more source

Solid Harmonic Wavelet Bispectrum for Image Analysis

open access: yesAdvanced Science, EarlyView.
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown   +3 more
wiley   +1 more source

Estimation of SSVEP-based EEG complexity using inherent fuzzy entropy [PDF]

open access: yes, 2017
© 2017 IEEE. This study considers the dynamic changes of complexity feature by fuzzy entropy measurement and repetitive steady-state visual evoked potential (SSVEP) stimulus.
Mukesh Prasad   +8 more
core   +1 more source

Heterogeneous Assembly Echo State Networks for High-Dimensional, Multiscale Time Series: Dynamic Analysis via Delay Capacity and Multiscale Fuzzy Entropy

open access: yesIEEE Access
Reservoir computing (RC), particularly the echo state network (ESN), is an efficient framework for time-series processing. However, its conventional form often struggles with tasks characterized by high dimensionality and multiscale temporal dynamics. We
Sota Yoshida   +4 more
semanticscholar   +1 more source

Multiscale Spatial Fusion Feature‐Driven Characterization of Gastric Cancer Invasive Margins: A Multicenter Cohort Study for Preoperative Accurate Differentiation Between T4a and T4b Subtypes

open access: yesAdvanced Science, EarlyView.
This study develops a multi‐dimensional vision Transformer‐based model, GAVR, to accurately distinguish gastric cancer T4a/b stages preoperatively. Validated across multi‐center cohorts, it achieves excellent performance and significantly improves radiologists’ diagnostic accuracy, offering a promising tool for clinical decision‐making.
Guoliang Zheng   +20 more
wiley   +1 more source

Evaluation of Acute Tonic Cold Pain From Microwave Transcranial Transmission Signals Using Multi-Entropy Machine Learning Approach

open access: yesIEEE Access, 2020
This study aims to improve the accuracy of detecting acute tonic cold pain (CP) perception from microwave transcranial transmission (MTT) signals. Two different types of CP and no-pain (NP) MTT signals are obtained from 15 subjects. Four features, namely,
Daoshuang Geng   +3 more
doaj   +1 more source

Surface Neuronal‐Like Structuring of High‐Strength CFRP for Enhanced Electromagnetic Interference Shielding

open access: yesAdvanced Science, EarlyView.
This study elucidates the microstructural evolution at the material interface of Ni‐plated plain‐weave carbon fiber fabric following vacuum heat treatment at 500°C–900°C under different current densities, as well as the mechanism underlying the synergistic enhancement of electromagnetic shielding and ductility.
Wei Cheng   +7 more
wiley   +1 more source

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