Entropy-metric estimation of the small data models with stochastic parameters

Kovtun, Viacheslav; Altameem, Torki; Al-Maitah, Mohammed; Kempa, Wojciech

doi:10.1016/j.heliyon.2024.e24708

Heliyon

2024

DOI: 10.1016/j.heliyon.2024.e24708

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Entropy-metric estimation of the small data models with stochastic parameters

Viacheslav Kovtun,

Torki Altameem,

Mohammed Al-Maitah

et al.

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2024

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Cited by 6 publications

References 36 publications

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Grochla,

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Egyptian Informatics Journal

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Cyber epidemic spread forecasting based on the entropy-extremal dynamic interpretation of the SIR model

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Grochla,

Al-Maitah

et al. 2024

Egyptian Informatics Journal

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Simple statistical tests selection based parallel computating method ensures the guaranteed global extremum identification

Kovtun,

Altameem,

Al-Maitah

et al. 2024

Journal of King Saud University - Science

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An Innovative Applied Control System of Helicopter Turboshaft Engines Based on Neuro-Fuzzy Networks

Vladov,

Lytvynov,

Vysotska

et al. 2024

ASI

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This study focuses on helicopter turboshaft engine innovative fault-tolerant fuzzy automatic control system development to enhance safety and efficiency in various flight modes. Unlike traditional systems, the proposed automatic control system incorporates a fuzzy regulator with an adaptive control mechanism, allowing for dynamic fuel flow and blade pitch angle adjustment based on changing conditions. The scientific novelty lies in the helicopter turboshaft engines distinguishing separate models and the fuel metering unit, significantly improving control accuracy and adaptability to current flight conditions. During experimental research on the TV3-117 engine installed on the Mi-8MTV helicopter, a parametric modeling system was developed to simulate engine operation in real time and interact with higher-level systems. Innovation is evident in the creation of the failure model that accounts for dynamic changes and probabilistic characteristics, enabling the prediction of failures and minimizing their impact on the system. The results demonstrate high effectiveness for the proposed model, achieving an accuracy of 99.455%, while minimizing the loss function, confirming its reliability for practical application in dynamic flight conditions.

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Entropy-metric estimation of the small data models with stochastic parameters

Cited by 6 publications

References 36 publications

Cyber epidemic spread forecasting based on the entropy-extremal dynamic interpretation of the SIR model

Cyber epidemic spread forecasting based on the entropy-extremal dynamic interpretation of the SIR model

Simple statistical tests selection based parallel computating method ensures the guaranteed global extremum identification

An Innovative Applied Control System of Helicopter Turboshaft Engines Based on Neuro-Fuzzy Networks

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