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Updated: Jan 18, 2026

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用压力引导的LSTM建模用于发酵量化预测.

Jooho Lee1, Jieun Jeong1, Sangoh Kim1

  • 1Department of Food Engineering, Dankook University, 119 Dandae-ro, Dongnam-gu, Cheonan-si 31116, Chungcheongnam-do, Republic of Korea.

Sensors (Basel, Switzerland)
|September 13, 2025
PubMed
概括

这项研究将AI预测模型与区块链集成在一起,以可靠地监测发酵. 长短期记忆 (LSTM) 模型准确预测发酵动态,增强生物过程控制.

关键词:
这是LSTM的LSTM.人工智能的人工智能是人工智能.区块链区块链区块链区块链区块链发酵 发酵 发酵 发酵物联网的东西互联网.

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Fermentation01:29

Fermentation

Most eukaryotic organisms require oxygen to survive and function adequately. Such organisms produce large amounts of energy during aerobic respiration by metabolizing glucose and oxygen into carbon dioxide and water. However, most eukaryotes can generate some energy in the absence of oxygen by anaerobic metabolism.
Fermentation is a type of metabolic process that occurs in the absence of oxygen, where organic molecules such as glucose are broken down to produce energy. During this process, the...
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