Results 11 to 20 of about 1,200,520 (247)
CoatingsAccurate detection of surface defects such as wear, cracks, and flaws in metallic components is critical for equipment reliability and longevity, representing a core challenge in surface integrity engineering. To solve the information loss, low estimation accuracy and poor noise immunity associated with Multiscale Dispersion Entropy (MDE) are utilized ...
Jingyuan Ma, Chengjiang Zhou
exaly +3 more sources
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
doaj +3 more sources
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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Jixie chuandong, 2021 When the gearbox fails， its vibration signal is unstable and nonlinear. The commonly applied gearbox fault diagnosis methods are almost all based on the single-channel vibration signal analysis，which is easy to cause the loss of fault information，so the ...
Fuming Zhou +4 more
doaj +2 more sources
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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A feature-optimized EEG framework using multiscale entropy and metaheuristic optimization for cognitive analysis [PDF]
Frontiers in Artificial IntelligenceBackgroundCognitive activity plays an important role by influencing working-memory, problem-solving, attention, response and decision making. EEG serves as a non-invasive approach to analyze neural activity associated with cognitive processing.
Keerthika N., Kiruthika V.
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Multivariate Multiscale Dispersion Entropy of Biomedical Times Series [PDF]
Entropy, 2019 Due to the non-linearity of numerous physiological recordings, non-linear analysis of multi-channel signals has been extensively used in biomedical engineering and neuroscience.
Hamed Azami +2 more
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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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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
doaj +1 more source