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161 to 170 of 2,242 Results
ML_dev_part2.ipynb
Feb 24, 2026 - Replication data for: Assessment of Data-Driven Techniques for Flow Rate Predictions in Sub-sea Oil Production
Jupyter Notebook - 240.4 KB - MD5: aec99d2af4b73cb120944552410a6f16
oil_field_model.m
Feb 24, 2026 - Replication data for: Assessment of Data-Driven Techniques for Flow Rate Predictions in Sub-sea Oil Production
MATLAB Source Code - 4.2 KB - MD5: 3afdf981934adb3916a638c92b3e0ef4
openloop_simulation.m
Feb 24, 2026 - Replication data for: Assessment of Data-Driven Techniques for Flow Rate Predictions in Sub-sea Oil Production
MATLAB Source Code - 4.4 KB - MD5: ab8287accb12c0c577c099c750b6910e
Readme.md
Feb 24, 2026 - Replication data for: Assessment of Data-Driven Techniques for Flow Rate Predictions in Sub-sea Oil Production
Markdown Text - 155 B - MD5: 0c05268200c7ad6592a1f7d9edf5d792
update_states.m
Feb 24, 2026 - Replication data for: Assessment of Data-Driven Techniques for Flow Rate Predictions in Sub-sea Oil Production
MATLAB Source Code - 319 B - MD5: 22c8cc35407cf3e6460003bceedc8911
Replication data for: Real-Time Optimization and Estimation for CO2 Purification Process
Feb 24, 2026
Hvidsten, Jan Inge; Mirlekar, Gaurav, 2026, "Replication data for: Real-Time Optimization and Estimation for CO2 Purification Process", https://doi.org/10.18710/UFXAVM, DataverseNO, V1
The dataset represents dynamic simulation and estimation data for a CO2 scrubbing process in a bio‑CO2 purification plant, used to design and test a real‑time optimization and Kalman filter–based control framework for solvent flow. Purpose: To estimate unmeasured mass flows (CO2 inlet gas flow and rich solvent flow) in a CO2 scrubber using first‑ a...
00_ReadMe.txt
Feb 24, 2026 - Replication data for: Real-Time Optimization and Estimation for CO2 Purification Process
Plain Text - 3.4 KB - MD5: dbfc3c3b6015107309c71c89a07b6dcc
DataFile.pdf
Feb 24, 2026 - Replication data for: Real-Time Optimization and Estimation for CO2 Purification Process
Adobe PDF - 626.5 KB - MD5: 1f3dc4cda3f8cf07b511f22967cf4f43
Data for “The interaction between visual and oculomotor functions and the use of virtual reality: A scoping review”
Feb 19, 2026
Krastina, Ieva; Hagen, Lene Aarvelta; Svarverud, Ellen; Baraas, Rigmor; Gilson, Stuart, 2026, "Data for “The interaction between visual and oculomotor functions and the use of virtual reality: A scoping review”", https://doi.org/10.18710/HJDTX7, DataverseNO, V1
A scoping review on the interaction between visual and oculomotor functions and the use of virtual reality technologies was conducted. This dataset consists of the full search strategy for the scoping review. It contains the search terms for the databases Medline (Ovid), Web of Science, and Scopus, as well as a description of the citation chaining...
00_ReadMe.txt
Feb 19, 2026 - Data for “The interaction between visual and oculomotor functions and the use of virtual reality: A scoping review”
Plain Text - 5.4 KB - MD5: cfaf40c4253c49fa16eef8cdd76d44b8
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