AIAISci
中文
paperBiotech

A Multi-Level Hybrid EKF–Machine Learning Soft Sensor for Robust Bioprocess Monitoring

A Multi-Level Hybrid EKF–Machine Learning Soft Sensor for Robust Bioprocess Monitoring

publishedDate Venue Systems and Control Transactions

Source-permitted summary

A Multi-Level Hybrid EKF–Machine Learning Soft Sensor for Robust Bioprocess Monitoring

SourceSystems and Control Transactions

AI Reading Notes

Core signal

Structured notes generated from source-linked AISci metadata. Treat them as a reading aid, not a substitute for the paper.

Core signal
A Multi-Level Hybrid EKF–Machine Learning Soft Sensor for Robust Bioprocess Monitoring
Field context
Biomanufacturing
People and labs
Mohammad Reza Boskabadi, Seyed Soheil Mansouri, Rajiv Kailasanathan, Technical University of Denmark
Why it matters
Recent source-backed research output for AISci Stage A browsing.
Limits to check
AISci rank score does not assess scientific quality or citation impact.

Publication facts

Venue
Systems and Control TransactionsSourceSystems and Control Transactions

External IDs

Author order

  1. Mohammad Reza BoskabadiSourceSystems and Control Transactions
  2. Seyed Soheil MansouriSourceSystems and Control Transactions
  3. Rajiv KailasanathanSourceSystems and Control Transactions

Organizations

Technical University of DenmarkNovo Nordisk Foundation

Related events

A Multi-Level Hybrid EKF–Machine Learning Soft Sensor for Robust Bioprocess Monitoring

Topics

Biomanufacturing

Relationship evidence

Timeline

  2. paperA Multi-Level Hybrid EKF–Machine Learning Soft Sensor for Robust Bioprocess Monitoring
    SourceSystems and Control Transactions