Table 3 Parameter values used in the 1-D CNN.
From: 5G-enabled contactless multi-user presence and activity detection for independent assisted living
| Â | Parameter | Value | |
|---|---|---|---|
Architecture | Block-1 | 1D conv layers | 1 |
Kernels for each layer | 8 | ||
Kernel size | 5 | ||
Block-2 | 1D conv layers | 3 | |
Kernels for each layer | 16 | ||
Kernel size | 5 | ||
Block-3 | 1D conv layers | 3 | |
Kernels for each layer | 16 | ||
Kernel size | 5 | ||
Block-4 | 1D conv layers | 3 | |
Kernels for each layer | 32 | ||
Kernel size | 5 | ||
Block-5 | 1D conv layers | 3 | |
Kernels for each layer | 64 | ||
Kernel size | 5 | ||
Block-6 | 1D conv layers | 3 | |
Kernels for each layer | 64 | ||
Kernel size | 5 | ||
Block-7 | 1D conv layers | 480 | |
Kernels for each layer | 40 | ||
Kernel size | 16 | ||
Training | Learning Algorithm | Adamax | |
Batch size | 32 | ||
Epochs | 100 | ||
Learning rate | 0.001 | ||
