Abstract: Spatio-temporal data like a Dynamically Weighted Directed Network (DWDN) are ubiquitous in bigdata applications like an intelligent recommender system. They commonly illustrate the complex ...

In this paper, we tackle the high computational overhead of transformers for lightweight image super-resolution. (SR). Motivated by the observations of self-attention's inter-layer repetition, we ...

1 School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, China 2 School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China ...

Abstract: This paper presents a comparative analysis of deep learning models - 1D Convolution Neural Networks (1D-CNN), Long-Short-Term Memory (LSTM) and Gated Recurrent Units (GRU) - to classify ...