Engineering Project Health Monitoring: Application of Automatic, Real-Time Analytics to PDM Systems
- DOI
- 10.1007/978-3-030-01614-2_55
- Published
- 2018
- Container
- IFIP Advances in Information and Communication Technology
- Publisher
- Springer International Publishing
- Open access
- unknown
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uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-030-01614-2_55,
title = {Engineering Project Health Monitoring: Application of Automatic, Real-Time Analytics to PDM Systems},
author = {Chris Snider and James Gopsill and David Jones and Ben Hicks},
year = {2018},
journal = {IFIP Advances in Information and Communication Technology},
doi = {10.1007/978-3-030-01614-2_55},
url = {https://doi.org/10.1007/978-3-030-01614-2_55}
}RIS
TY - JOUR TI - Engineering Project Health Monitoring: Application of Automatic, Real-Time Analytics to PDM Systems AU - Chris Snider AU - James Gopsill AU - David Jones AU - Ben Hicks PY - 2018 JO - IFIP Advances in Information and Communication Technology DO - 10.1007/978-3-030-01614-2_55 UR - https://doi.org/10.1007/978-3-030-01614-2_55 ER -
APA
Snider, C., Gopsill, J., Jones, D., & Hicks, B. (2018). Engineering Project Health Monitoring: Application of Automatic, Real-Time Analytics to PDM Systems. IFIP Advances in Information and Communication Technology. https://doi.org/10.1007/978-3-030-01614-2_55
Source records
- crossref · retrieved 2026-11-08T17:30:07.156Z