IEEE SMC Hiroshima Chapter Best Presentation Award
“Multi-Channel MHLF: LSTM-FCN using MACD-Histogram with Multi-Channel Input for Time Series Classification” Co-authored with Keiichi Tamura
The Award Selection Committee in IEEE SMC Hiroshima Chapter chose the award winner of “IEEE SMC Hiroshima Chapter Best Presentation Award” from 10 candidates, whose papers have been submitted to “2019 IEEE 11th International Workshop on Computational Intelligence and Applications” held on November 9-10, 2019. The candidates must be under 35 years old and be IEEE SMC Society Members.