Results 51 to 60 of about 1,557,577 (150)

Multiscale Cumulative Residual Dispersion Entropy with Applications to Cardiovascular Signals

, 2023
Heart rate variability (HRV) is used as an index reflecting the adaptability of the autonomic nervous system to external stimuli and can be used to detect various heart diseases.
Young-Seok Choi, Youngjun Kim
core   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Gearbox Fault Diagnosis Based on Refined Time-Shift Multiscale Reverse Dispersion Entropy and Optimised Support Vector Machine

, 2023
The fault diagnosis of a gearbox is crucial to ensure its safe operation. Entropy has become a common tool for measuring the complexity of time series. However, entropy bias may occur when the data are not long enough or the scale becomes larger.
Xiang Wang, Han Jiang
core   +1 more source

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

Advanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne, Haodong Yao, Liyuan Wu, Yihe Pang, Fazhi Qi, Lina Zhao   +5 more
wiley   +1 more source

Tracheal chambers as a key innovation for high‐frequency emission in bat echolocation

The Anatomical Record, EarlyView.
Abstract Key innovations are pivotal for biodiversity and facilitating evolutionary success, enabling organisms' adaptation to various ecological niches through the diversification of phenotypic traits. In mammals, notable adaptations include evolving hypsodonty for grazing on grasses and, for bats, evolving echolocation and wing acquisition.
Nicolas L. M. Brualla, Laura A. B. Wilson, Khizar Hayat, Michael Doube, Vuong Tan Tu, Thongchai Ngamprasertwong, Thanakul Wannaprasert, Daisuke Koyabu   +7 more
wiley   +1 more source

GlycoMAC: A Multiscale Metabolic‐Glycosylation Framework for Predicting Glycosylation Across Conditions in Mammalian Cell Cultures

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Antibody productivity and glycosylation quality in CHO cell cultures emerge from a dynamically evolving metabolic environment, yet existing models often work in isolation or at a single scale. Here, we present a multiscale mechanistic framework linking molecular, cellular, and macroscopic scales to predict how inputs shape bioprocess ...
Yuming Zeng, Sarah W. Harcum, Jinxiang Pei, Wei Xie   +3 more
wiley   +1 more source

A Refined Composite Multivariate Multiscale Fuzzy Entropy and Laplacian Score-Based Fault Diagnosis Method for Rolling Bearings

, 2017
The vibration signals of rolling bearings are often nonlinear and non-stationary. Multiscale entropy (MSE) has been widely applied to measure the complexity of nonlinear mechanical vibration signals, however, at present only the single channel vibration ...
Deyu Tu, Tao Liu, Qingyun Liu, Haiyang Pan, Jinde Zheng, Xiaolei Hu   +5 more
core   +1 more source

Fault Diagnosis of Hydraulic Pumps Using PSO-VMD and Refined Composite Multiscale Fluctuation Dispersion Entropy

, 2020
Multiscale fluctuation dispersion entropy (MFDE) has been proposed to measure the dynamic features of complex signals recently. Compared with multiscale sample entropy (MSE) and multiscale fuzzy entropy (MFE), MFDE has higher calculation efficiency and ...
Jinxing Shen, Fuming Zhou, Wuqiang Liu, Xiaoqiang Yang   +3 more
core   +1 more source

Recent Advances in Ionizing Radiation as a Nonequilibrium Chemical Field for Catalysis

Carbon and Hydrogen, EarlyView.
Ionizing radiation acts as a nonequilibrium chemical field that generates reactive species and structural perturbations. These radiation‐induced effects bridge catalytic material construction, including metal loading, framework evolution, defect engineering, and carbon‐network reorganization, with selective transformations such as oxidation, reduction,
Junhua Kuang, Zhuo Liu, Jinlong Wan, Wenjie Duan, Li Peng, Liuxuan Cao, Jia Yu, Jian‐Feng Li, Shuliang Yang   +8 more
wiley   +1 more source

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

, 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
Ligang Yao, Zhenya Wang, Yuxiang Cai, Haocheng Su, Xinglong Wang, Jiaxin Ding   +5 more
core   +1 more source