Results 11 to 20 of about 1,681 (208)
IEEE Access, 2019 Many nonlinear dynamic and statistic methods, including multiscale sample entropy (MSE) and multiscale fuzzy entropy (MFE), have been widely studied and employed to fault diagnosis of the rolling bearing. Multiscale dispersion entropy (MDE) is a powerful
Congzhi Li +4 more
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EEG-ChTABNet: A Dual-Branch Channel-Wise Transformer with Gated Attention-Branch Network for EEG-Based Classification of Dementia [PDF]
BiomedicinesBackground/Objectives: Early and accurate discrimination of neurological conditions, dementia, stroke and healthy aging, remains a critical clinical challenge.
Noor Kamal Al-Qazzaz +2 more
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Entropy-Based Uncertainty-Aware Exploratory Factor Analysis for Ordinal Data: Application to Tramway Cultural Tourism Evaluation [PDF]
EntropyBackground: Perception-based evaluation using Likert-scale survey data is widely applied in tourism and transport research, yet conventional point-valued encoding imposes artificial precision and overlooks ambiguity between adjacent ordinal categories ...
Jiaozi Pu, Yaxin Shi
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Enhancing the LEACH protocol and lightweight chaotic cryptography for secure data transmission in wireless sensor networks [PDF]
Scientific ReportsWireless sensor networks face significant challenges in achieving energy efficiency, prolonged network lifespan, and secure data transmission due to resource-constrained nodes and vulnerable wireless channels.
Mohsen Zarei +3 more
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Forecasting of interval carbon price in China based on decomposition-reconstruction-ensemble framework [PDF]
Carbon Balance and ManagementAccurate prediction of carbon prices is imperative for the effective management of carbon markets and the facilitation of a global transition to green energy.
Beibei Hu, Yunhe Cheng
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Sensors, 2023 The utilization of multiscale entropy methods to characterize vibration signals has proven to be promising in intelligent diagnosis of mechanical equipment.
Zhengkun Xue +4 more
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A new fractional fuzzy dispersion entropy and its application in muscle fatigue detection
Mathematical Biosciences and Engineering, 2023 Abstract Background The complexity analysis of neuroelectrophysiological signals has been widely applied in the field of biomedical engineering and muscle fatigue detection using the complexity analysis of surface electromyographic (sEMG) signals is one of the hot research topics.
Baohua Hu, Yong Wang, Jingsong Mu
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Entropy, 2023 Marine background noise (MBN) is the background noise of the marine environment, which can be used to invert the parameters of the marine environment. However, due to the complexity of the marine environment, it is difficult to extract the features of ...
Guanni Ji, Yu Wang, Fei Wang
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A Robust and High-Dimensional Clustering Algorithm Based on Feature Weight and Entropy
Entropy, 2023 Since the Fuzzy C-Means algorithm is incapable of considering the influence of different features and exponential constraints on high-dimensional and complex data, a fuzzy clustering algorithm based on non-Euclidean distance combining feature weights and
Xinzhi Du
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