the border effects.

**SC:** For the SC, the discrete wavelet transform with a Ricker wavelet was utilized. The 64 different scales of the window were obtained by the rule illustrated in equation \[eq:sc\_scale\]

$$scale_j=2^{\frac{j}{4}}; j\in [1,64]
             \label{eq:sc_scale}$$

The SC output of size 64$\times$512 was then downscaled with factor 8 along the horizontal axis using average pooling to achieve the required out dimension of 64x64. Based on visual inspection, these parameters have shown to capture the general time series patterns sufficiently well.

Fig. \[fig:examples\] illustrates, for the same time series, the different images obtained after each encoding.

Hyperparameters of the DL algorithms
------------------------------------

[l|lccc]{} & & &\
Section & Layer & Size & Stride & Shape\
\
& Input & - & - & 1x512x1\
& Conv1 & 16 & 4 & 1x128x64\
& Pool1 & 2 & 2 & 1x64x64\
& Conv2 & 8 & 2 & 1x32x128\
& Pool2 & 2 & 2 & 1x16x128\
& Conv3 & 4 & 2 & 1x8x256\
& Pool3 & 2 & 2 & 1x4x256\
& Unfold & - & - & 1024\
& Bottleneck & - & - & 300\
& Dense2 & - & - & 1024\
&\
\
& Input 