Open benchmark dataset synchronizes 2D PLIF concentration fields of turbulent acetone plumes with kHz-rate MOx sensor recordings and metadata in a laboratory wind tunnel.
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2 Pith papers cite this work, alongside 126 external citations. Polarity classification is still indexing.
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A methodology predicts positive phase duration and impulse from video time-of-arrival data for ideal explosive blasts, reporting 5.3% mean absolute percentage error on literature datasets for PE4, PE7, Composition B and PETN.
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Odour sensing in turbulent plumes with high-speed electronic nose and non-invasive ground truth
Open benchmark dataset synchronizes 2D PLIF concentration fields of turbulent acetone plumes with kHz-rate MOx sensor recordings and metadata in a laboratory wind tunnel.
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A Novel Methodology for Evaluating Positive Phase Blast Wave Loading Parameters Using High Speed Video
A methodology predicts positive phase duration and impulse from video time-of-arrival data for ideal explosive blasts, reporting 5.3% mean absolute percentage error on literature datasets for PE4, PE7, Composition B and PETN.