Innovative features of the model Combining a dual-hemispheric neural network with piezoelectric sensors: Only in the sensors section: This architecture allows for simultaneous processing of mechanical and electrical data. Physical model including spring, damping and capacitor: more accurate simulation of sensor behavior Automatic reporting of multiple runs: integration of machine learning results and sensor circuits
- Model performance results Experimental accuracy (Accuracy): between 0.9123 and 0.9302 (mean: 0.9226) F1 score: between 0.9087 and 0.9265 (mean: 0.9187) High stability: all runs remained above 0.90.
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