Compact BDT waveform classifiers deployed in the Belle II CDC front-end FPGA suppress cross-talk noise by ~2x at the wire level and reduce fake L1 trigger rates by up to ~72% with roughly 5-11% signal-acceptance loss.
Hardware-accelerated GNN-based hit filtering for the Belle II Level-1 trigger,
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Machine-Learning-Based Waveform Discrimination in the Front-End Electronics of the Belle II Central Drift Chamber for Cross-Talk Noise Reduction
Compact BDT waveform classifiers deployed in the Belle II CDC front-end FPGA suppress cross-talk noise by ~2x at the wire level and reduce fake L1 trigger rates by up to ~72% with roughly 5-11% signal-acceptance loss.