2022 11th International Conference on System Modeling &Amp; Advancement in Research Trends (SMART) 2022
DOI: 10.1109/smart55829.2022.10047387
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Using Machine Learning for Industry 5.0 Efficiency Prediction Based on Security and Proposing Models to Enhance Efficiency

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Cited by 6 publications
(1 citation statement)
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“…Machine learning's potential in predicting Industry 5.0 efficiency, backed by crucial roles played by security protocols and Industrial IoT, is discussed by Pant et al (2022), proposing the Quorum blockchain for ultimate security. Banking 5.0, as outlined by Sunindita, Pan (2022) and Bernardo, Nicoletti (2021), encompasses the integration of AI and digital technologies in banking to heighten productivity, introduce new financial institutions such as fintech organizations, and promote sustainable banking practices.…”
Section: Review Of Literaturementioning
confidence: 99%
“…Machine learning's potential in predicting Industry 5.0 efficiency, backed by crucial roles played by security protocols and Industrial IoT, is discussed by Pant et al (2022), proposing the Quorum blockchain for ultimate security. Banking 5.0, as outlined by Sunindita, Pan (2022) and Bernardo, Nicoletti (2021), encompasses the integration of AI and digital technologies in banking to heighten productivity, introduce new financial institutions such as fintech organizations, and promote sustainable banking practices.…”
Section: Review Of Literaturementioning
confidence: 99%