Systematic Generation and Evaluation of Synthetic Production Data for Industry 5.0 Optimization DOI Creative Commons
Solomiya Liaskovska,

Sviatoslav Tyskyi,

Yevgen Martyn

и другие.

Technologies, Год журнала: 2025, Номер 13(2), С. 84 - 84

Опубликована: Фев. 18, 2025

Our research focused on analyzing and advancing information technologies to identify ecological parameters in production. The primary goals were enhance efficiency, reduce waste, minimize the environmental impact of manufacturing processes. By incorporating results study, we observed systematized changes occurring transition from Industry 4.0 5.0. Special attention was given studying processes related generation synthetic data implementation cutting-edge technologies. object includes new introduced within framework 5.0, encompassing automation cognitive scientific interests also extended used modeling various production processes, including optimizing device performance forecasting abnormal situations industrial equipment operations. subject involves algorithms for generating methods validating them ensure their statistical similarity real-world data. During analyzed artificial intelligence improving efficiency adaptability systems.

Язык: Английский

Systematic Generation and Evaluation of Synthetic Production Data for Industry 5.0 Optimization DOI Creative Commons
Solomiya Liaskovska,

Sviatoslav Tyskyi,

Yevgen Martyn

и другие.

Technologies, Год журнала: 2025, Номер 13(2), С. 84 - 84

Опубликована: Фев. 18, 2025

Our research focused on analyzing and advancing information technologies to identify ecological parameters in production. The primary goals were enhance efficiency, reduce waste, minimize the environmental impact of manufacturing processes. By incorporating results study, we observed systematized changes occurring transition from Industry 4.0 5.0. Special attention was given studying processes related generation synthetic data implementation cutting-edge technologies. object includes new introduced within framework 5.0, encompassing automation cognitive scientific interests also extended used modeling various production processes, including optimizing device performance forecasting abnormal situations industrial equipment operations. subject involves algorithms for generating methods validating them ensure their statistical similarity real-world data. During analyzed artificial intelligence improving efficiency adaptability systems.

Язык: Английский

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