Výsledky vyhledávání - "Jennifer Klemisch"

Hybrid Learning Approach to Sensor Fault Detection with Flight Test Data

Autor: Brian M. de Silva, Steven L. Brunton, Jonathan Jonker, Nathan Hicks, Darren McDonald, Jennifer Klemisch, Nicholas Goebel, J. Nathan Kutz, Jared L. Callaham, Aleksandr Y. Aravkin

Publikováno v: AIAA Journal. 59:3490-3503

Data-driven algorithms are developed to fully automate sensor fault detection in systems governed by underlying physics, with a particular focus on the flight test setting. The proposed machine lea...

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::094b0c85b38cca92979c9a6a98a4e241
https://doi.org/10.2514/1.j059943

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Data-Driven Aerospace Engineering: Reframing the Industry with Machine Learning

Autor: Aleksandr Y. Aravkin, Krithika Manohar, Steven L. Brunton, Jennifer Klemisch, J. Nathan Kutz, Nicholas Goebel, James Buttrick, Kristi A. Morgansen, Darren McDonald, Jeffrey Poskin, Adriana W. Blom-Schieber, Thomas A. Hogan

Publikováno v: AIAA Journal. :1-26

Data science, and machine learning in particular, is rapidly transforming the scientific and industrial landscapes. The aerospace industry is poised to capitalize on big data and machine learning, which excels at solving the types of multi-objective,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9cc350731dc70ec8ef9087db35c6b01
https://doi.org/10.2514/1.j060131

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Elektronická kniha

Knowledge Guided Machine Learning : Accelerating Discovery Using Scientific Knowledge and Data

Autor: Anuj Karpatne, Ramakrishnan Kannan, Vipin Kumar

Given their tremendous success in commercial applications, machine learning (ML) models are increasingly being considered as alternatives to science-based models in many disciplines. Yet, these'black-box'ML models have found limited success due to th

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