Data-driven Detection and Early Prediction of Thermoacoustic Instability in a Multi-nozzle Combustor
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DOI: 10.1080/00102202.2020.1820495
Abstract: Thermoacoustic instability (TAI) is a critical issue in modern lean-burn gas-turbine combustors, which is induced by a strong coupling between the resonant combustor acoustics and fluctuations in t... read more here.
Keywords: driven detection; data driven; combustor; detection early ... See more keywords
Deep Learning-Driven Detection and Mapping of Rockfalls on Mars
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2020.2991588
Abstract: The analysis of rockfall distribution and magnitude is a useful tool to study the past and current endogenic and exogenic activity of Mars. At the same time, tracks left by rockfalls provide insights into the… read more here.
Keywords: detection mapping; deep learning; learning driven; driven detection ... See more keywords