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When Bioprocess Engineering Meets Machine Learning: A Survey from the
  Perspective of Automated Bioprocess Development
v1v2 (latest)

When Bioprocess Engineering Meets Machine Learning: A Survey from the Perspective of Automated Bioprocess Development

Biochemical engineering journal (Biochem. Eng. J.), 2022
2 September 2022
Nghia Duong-Trung
Stefan Born
Jong Woo Kim
M. Schermeyer
Katharina Paulick
M. Borisyak
M. N. C. Bournazou
Thorben Werner
Randolf Scholz
Lars Schmidt-Thieme
Peter Neubauer
Ernesto Martinez
ArXiv (abs)PDFHTML

Papers citing "When Bioprocess Engineering Meets Machine Learning: A Survey from the Perspective of Automated Bioprocess Development"

2 / 2 papers shown
Quantum Synthetic Data Generation for Industrial Bioprocess Monitoring
Quantum Synthetic Data Generation for Industrial Bioprocess Monitoring
Shawn M. Gibford
Mohammad Reza Boskabadi
Christopher J. Savoie
Seyed Soheil Mansouri
100
0
0
20 Oct 2025
Deep Set Neural Networks for forecasting asynchronous bioprocess
  timeseries
Deep Set Neural Networks for forecasting asynchronous bioprocess timeseries
M. Borisyak
Stefan Born
Peter Neubauer
M. N. C. Bournazou
BDLAI4TS
194
0
0
04 Dec 2023
1