Frontiers29d
Classification of arteriovenous fistula sounds using a convolutional block attention module and long short-term memory neural network
These parameters were subsequently used as input to a model that integrates the Convolutional Block Attention Module and a Long Short-Term Memory neural network ... approach to enhance classification ...
GitHub6d
Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach (CNN-TA)
In the last decade, deep learning models start getting more attention, especially within the image processing community. In this study, we propose a novel algorithmic trading model CNN-TA using a 2-D ...