High-sensitive flexible dual-modal flow sensing array for accurate vortex source localization

Cylinder Localization

1. Training and Test Datasets

• Data organized for velocity (V), pressure (P), and combined (V+P) sensing modalities
• Separated into training and test subsets

2. MLP Model Training Code

• Multi-layer perceptron implementation for vortex source localization
• Training scripts supporting all three sensing modalities (V, P, V+P)

3. Pretrained Models and Test Results

• Pre-trained MLP models for each sensing modality (V, P, V+P)
• Comprehensive test results and performance metrics

Fixed Robotic Fish Localization

1. Training and Test Datasets

• Data organized for velocity (V), pressure (P), and combined (V+P) sensing modalities
• Separated into training and test subsets

2. MLP Model Training Code

• Multi-layer perceptron implementation for vortex source localization
• Training scripts supporting all three sensing modalities (V, P, V+P)

3. Pretrained Models and Test Results

• Pre-trained MLP models for each sensing modality (V, P, V+P)
• Comprehensive test results and performance metrics

Swimming Robotic Fish Localization

1. Time-Domain Signal Collection

• Multi-run acquisition of temporal signals from swimming robotic fish experiments

2. Short-Time Fourier Transform Feature Extraction and Dataset Splitting

• STFT feature extraction from raw time-domain signals
• Extracted features organized into training and test subsets

3. Bi-GRU Model Training Code

• Bidirectional Gated Recurrent Unit implementation for sequential data processing

4. Pretrained Models and Test Results

• Pre-trained Bi-GRU models and combined test results