view article
Figure 2
Architecture of the TCN used in this study. The model consists of (a) a gated temporal block and (b) a temporal block, both composed of dilated convolutional layers and stacked to form (c) a residual block where a residual connection is also involved. (d) The input array (X) is processed through residual blocks, followed by a Conv1D block and absolute-value activation function, producing the output array (Y).

IUCrJ
Volume 13| Part 6| November 2026|
ISSN: 2052-2525
https://doi.org/10.1107/S2052252526008444