Data relating to: "Dynamic multistep uncertainty prediction in spatial geometry" (2020)

Files

CIRPe2020-PROCIR-D-20-00116R2.mp4 (99.32 MB)
plot3D_SAR.avi (65.4 MB)
Fig. 1. Stacked plot example.png (267.54 KB)
Fig. 5. Predicted vs. actual variance for sample dataset.png (228.89 KB)
Fig. 3. Aggregated vectors for sample data over 28-year time period.png (92.5 KB)

Date published

2021-02-12 11:48

Free to read from

Authors

Grenyer, Alex
Schwabe, Oliver
ahmet Erkoyuncu, John
Zhao, Yifan

Supervisor/s

Journal Title

Journal ISSN

Volume Title

Publisher

Cranfield University

Department

Type

Dataset

ISSN

Format

URI

https://dspace.lib.cranfield.ac.uk/handle/1826/22132

Citation

Grenyer, Alex; Schwabe, Oliver; Erkoyuncu, John ahmet; Zhao, Yifan (2021). Data relating to: "Dynamic multistep uncertainty prediction in spatial geometry" (2020). Cranfield Online Research Data (CORD). Conference contribution. https://doi.org/10.17862/cranfield.rd.12906716

Abstract

Excel file corresponding to training data and results in conference paper - applied in MATLABImages: Figures 1-4 as in conference paperVideo: 3D plot rotationVideo: Conference presentation

Description

Software Description

Software Language

Github

Keywords

'Uncertainty', 'forecast', 'LSTM networks', 'Spatial geometry', 'Manufacturing Engineering not elsewhere classified', 'Statistics'

DOI

10.17862/cranfield.rd.12906716

Rights

CC BY 4.0
https://creativecommons.org/licenses/by/4.0/

Relationships

Relationships

https://doi.org/10.1016/j.procir.2021.01.055'

Resources

Funder/s

Advanced Uncertainty Quantification Techniques for Maintenance Planning

Collections

Manufacturing and Materials