To address this, we propose the Spatio-Temporal Heterogeneous Tree Convolutional Networks (STHTCN), a novel model for predicting future traffic flow. STHTCN utilizes a heterogeneously-structured tree ...

This research proposes a novel dual-tree complex wavelet transform based Convolutional Neural Network (WCNN) to perform organ tissue segmentation from medical images. Accurate and efficient ...

Convolutional Codes and Decoding Algorithms Publication Trend The graph below shows the total number of publications each year in Convolutional Codes and Decoding Algorithms.

In this study, we evaluated multiple deep learning models, including a simple feedforward neural network, a Convolutional Neural Network (CNN), and the ResNet with and without a bottleneck structure, ...