Lecture notes on data engineering and communications technologies, Год журнала: 2025, Номер unknown, С. 1 - 8
Опубликована: Янв. 1, 2025
Язык: Английский
Lecture notes on data engineering and communications technologies, Год журнала: 2025, Номер unknown, С. 1 - 8
Опубликована: Янв. 1, 2025
Язык: Английский
Polymers, Год журнала: 2024, Номер 16(23), С. 3368 - 3368
Опубликована: Ноя. 29, 2024
The integration of machine learning (ML) into material manufacturing has driven advancements in optimizing biopolymer production processes. ML techniques, applied across various stages production, enable the analysis complex data generated throughout identifying patterns and insights not easily observed through traditional methods. As sustainable alternatives to petrochemical-based plastics, biopolymers present unique challenges due their reliance on variable bio-based feedstocks processing conditions. This review systematically summarizes current applications techniques aiming provide a comprehensive reference for future research while highlighting potential enhance efficiency, reduce costs, improve product quality. also shows role algorithms, including supervised, unsupervised, deep
Язык: Английский
Процитировано
5Lecture notes on data engineering and communications technologies, Год журнала: 2025, Номер unknown, С. 1 - 8
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
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