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Comparison of Different FPGA SVM Implementation

Journal: Ieee Transactions on Very Large Scale Integration (Vlsi) Systems

Article Title: An Ultralow-Power Real-Time Machine Learning Based fNIRS Motion Artifacts Detection

doi: 10.1109/TVLSI.2024.3356161

Figure Lengend Snippet: Comparison of Different FPGA SVM Implementation

Article Snippet: The combined fNIRS data preprocessing and RBF kernel SVM algorithm architecture were designed and simulated within the Simulink environment.

Techniques: Comparison