Study on Extracting Keywords that Reveal the Value of Research Data Through Comparisons Between Academic and Data Papers DOI
Naoto Kai,

Hayato Tomisu,

Toshiki Shimbaru

и другие.

Lecture notes on data engineering and communications technologies, Год журнала: 2025, Номер unknown, С. 1 - 8

Опубликована: Янв. 1, 2025

Язык: Английский

Machine Learning-Based Process Optimization in Biopolymer Manufacturing: A Review DOI Open Access
Ivan Malashin,

D. A. Martysyuk,

В С Тынченко

и другие.

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

5

Study on Extracting Keywords that Reveal the Value of Research Data Through Comparisons Between Academic and Data Papers DOI
Naoto Kai,

Hayato Tomisu,

Toshiki Shimbaru

и другие.

Lecture notes on data engineering and communications technologies, Год журнала: 2025, Номер unknown, С. 1 - 8

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0