no code implementations • 8 Feb 2024 • Zhenya Zang, Xingda Li, David Day Uei Li
We present a compact spiking convolutional neural network (SCNN) and spiking multilayer perceptron (SMLP) to recognize ten different gestures in dark and bright light environments, using a $9. 6 single-photon avalanche diode (SPAD) array.
no code implementations • 10 Jan 2024 • Xi Chen, Xingda Li
While machine learning has demonstrated significant potential for measuring blood flow index (BFi), an open question concerning the success of this approach pertains to its robustness in scenarios involving deviations between datasets with varying Signal-to-Noise Ratios (SNRs) originating from diverse clinical applications and various setups.
no code implementations • 10 Jan 2024 • Xi Chen, Zhenya Zang, Xingda Li
We introduce a rapid and precise analytical approach for analyzing cerebral blood flow (CBF) using Diffuse Correlation Spectroscopy (DCS) with the application of the Extreme Learning Machine (ELM).