This study introduces a blazingly fast, randomized, no-loss expert system for tic-tac-toe using decision trees called T3DT, which tries to emulate human gameplay as closely as possible and is over 22k times faster than non-randomized minimax based approaches.
A model of just 138KB working at 30fps, is proposed for face-mask detection on ARM Cortex-M7 microcontroller clocked at 480 Mhz and having just 496 KB of framebuffer RAM. This technique is fast, reliable, safe and helps thwart the transmission of the coronavirus.
A model of just 185KB is proposed for ASL prediction on ARM Cortex-M7 microcontroller, which works at 20 fps. Interpolation augmenation is shown to be effective for improving classification generalization.