Improving aircraft performance using machine learning: A review
2023 · Aerospace Science and Technology · 154 citations
https://doi.org/10.1016/j.ast.2023.108354
E
Elizabeth J. Cross
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Elizabeth J. Cross is an academic researcher from University of Sheffield. The author has contributed to research in topics: Structural Health Monitoring Techniques & Probabilistic and Robust Engineering Design & Infrastructure Maintenance and Monitoring. The author has an h-index of 39, co-authored 199 publications.
ORCID: 0000-0001-5204-1910Papers by this author
worksProbabilistic modelling of wind turbine power curves with application of heteroscedastic Gaussian Process regression
2019 · Renewable Energy · 91 citations
https://doi.org/10.1016/j.renene.2019.09.145
Probabilistic active learning: An online framework for structural health monitoring
2019 · Mechanical Systems and Signal Processing · 63 citations
https://doi.org/10.1016/j.ymssp.2019.106294
A probabilistic compressive sensing framework with applications to ultrasound signal processing
2018 · Mechanical Systems and Signal Processing · 34 citations
https://doi.org/10.1016/j.ymssp.2018.07.036
EACS 2016 paper - TOOL WEAR STATE CLUSTERING IN MILLING BASED ON RECORDED ACOUSTIC EMISSION
2017 · Figshare · 0 citations
https://doi.org/10.15131/shef.data.4206534.v1
Roadmap: Integrating artificial intelligence in structural health monitoring systems
2026 · Measurement Science and Technology · 0 citations
https://doi.org/10.1088/1361-6501/ae3abb
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