Machine learning: an advancement in biochemical engineering

One of the most remarkable techniques recently introduced into the field of bioprocess engineering is machine learning. Bioprocess engineering has drawn much attention due to its vast application in different domains like biopharmaceuticals, fossil fuel alternatives, environmental remediation, and f...

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Veröffentlicht in:	Biotechnology letters 2024-08, Vol.46 (4), p.497-519
Hauptverfasser:	Saha, Ritika, Chauhan, Ashutosh, Rastogi Verma, Smita
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Alternative fuels Applied Microbiology Artificial intelligence Beverage industry Biochemical engineering Biochemistry Bioengineering - methods Biomedical and Life Sciences biopharmaceuticals bioprocessing Biotechnology Biotechnology - methods Case studies Conjoint analysis Control algorithms Data analysis Deep learning Design of experiments Discriminant analysis Engineering Environmental cleanup Fluid dynamics Food industry Fossil fuels Learning algorithms Life Sciences Machine Learning Microbiology Optimization principal component analysis Principal components analysis remediation Review Statistical analysis Support vector machines Variables
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