HAL (France)
open access
Towards a machine learning operations (MLOps) soft sensor for real-time predictions in industrial-scale fed-batch fermentation
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- The Bubble Counter: Computer Data Logging for Yeast Fermentation Experiments.#333267
- Data-Driven Bioprocess Optimization: Lipase Production by Aspergillus Niger ATCC 1004 in COCOA and Palm Oil Byproducts Based Solid State Fermentation#302492
- Prediction of Crude Oil Pvt Properties by Soft Computing Techniques#367574
- 7 U.S.C. § 8110 — Feedstock flexibility program for bioenergy producers#559948
- FETS Benchmark: Foundation Models Outperform Dataset-specific Machine Learning in Energy Time Series Forecasting#134595
Record · ID 464311
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive