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Deep learning-based microcirculation performance classification using multispectral photoacoustic technology
Published 2024“…The ultrasonic waves collected from their posterior left arm under two experimental settings, namely at rest (i.e., control) and with arterial blood flow occlusions, were used to predict the microcirculation changes in tissue using the deep networks. Our findings showed the superiority of the hybrid model over the Alexnet and LSTM, with an average testing accuracy of 95.7 % and precision of 98.2 %, making it an ideal deep learning model for the task. …”
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Numerical analysis on the anode active thickness using quasi-three-dimensional solid oxide fuel cell model
Published 2023“…Also, a thick electrode and a high average current density result in a thin active thickness.…”
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Roll and yaw stabilisation using nonlinear energy method
Published 2007Get full text
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Automatic aircraft landing control using nonlinear energy method
Published 2010Get full text
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The ACT-ONE trial, a multicentre, randomised, double-blind, placebo-controlled, dose-finding study of the anabolic/catabolic transforming agent, MT-102 in subjects with cachexia related to stage III and IV non-small cell lung cancer and colorectal cancer: study design
Published 2011Get full text
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Characterization of ink-based phantoms with deep networks and photoacoustic method
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Phenomenological exploration of separation in couples amidst Covid-19 pandemic
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Disturbance decoupled fault reconstruction using sliding mode observers
Published 2010Get full text
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Disturbance decoupled fault reconstruction using sliding mode observers
Published 2008Get full text
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