YE KAIMING | Department of Biochemical Engineering and Science, Kyushu Institute of Technology

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概要

• 同名の論文著者
• Department of Biochemical Engineering and Science, Kyushu Institute of Technologyの論文著者

関連著者

• JIN SHA

  Department of Biochemical Engineering and Science, Kyushu Institute of Technology

• YE KAIMING

  Department of Biochemical Engineering and Science, Kyushu Institute of Technology

• SHIMIZU KAZUYUKI

  Department of Biochemical Engineering and Science, Kyushu Institute of Technology

• 清水 和幸

  Bes Kyushu Inst. Technol.

• Shimizu Kazuyuki

  Department Of Biochemical Engineering & Science Kyushu Institute Of Technology

• Jin S

  Osaka Univ. Osaka Jpn

• Jin S

  National Agricultural Res. Center For Hokkaido Region Sapporo Jpn

• Jin Sha

  Department Of Material And Life Scinece Graduate Shool Of Engineering Osaka University

• Ye Kaiming

  Department Of Biochemical Engineering & Science Kyushu Institute Of Technology

• Shimizu Kazuyuki

  Department Of Biochem.engineering And Science Kyushu Institute Of Technology

• Shimizu Kazuyuki

  Department of Applied Chemistry for Resources, Tokyo University of Agriculture and Technology

• 清水 和幸

  九州工業大学情報工学部

• 清水 和幸

  名大・工・化工

• 清水 和幸

  九工大・情工

• Shimizu K

  Kyushu Inst. Techonl. Fukuoka Jpn

• SHIJO MIYAKO

  Department of Biochemical Engineering and Science, Kyushu Institute of Technology

• NIKAWA JUNICHI

  Department of Biochemical Engineering and Science, Kyushu Institute of Technology

• Shimizu K

  Department Of Biotechnology Faculty Of Engineering Nagoya University

• Shijo Miyako

  Department Of Biochemical Engineering And Science Kyushu Institute Of Technology

• Nikawa Junichi

  Department Of Biochemical Engineering And Science Kyushu Institute Of Technology

• Nikawa J

  Department Of Bioscience And Bioinformatics Faculty Of Computer Science And Systems Engineering Kyus

• Nikawa J

  Kyushu Inst. Technol. Fukuoka Jpn

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著作論文

• Metabolic Pathway Analysis of Recombinant Saccharomyces cerevisiae with a Galactose-Inducible Promoter Based on a Signal Flow Modeling Approach
• Efficient Production of Vitamin B_ from Propionic Acid Bacteria under Periodic Variation of Dissolved Oxygen Concentration
• Application of Artificial Neural Network and Fuzzy Control for Fed-Batch Cultivaton of Recombinant Saccharomyces cerevisiae
• Performance Improvement of Lactic Acid Fermentation by Multistage Extractive Fermentation
• Fuzzy Neural Network for the Control of High Cell Density Cultivation or Recombinant Escherichia coli

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