Abstract: Sparse code multiple access (SCMA) has excellent application prospects in satellite-terrestrial links because of its high spectral efficiency and access capacity. In the end-to-end SCMA ...
Due to a production error, there was an error regarding the affiliation for Somayeh Makouei. Instead of having affiliation 2, they should have affiliation 1 ...
Faculty of Applied Sciences, Macao Polytechnic University, R. de Luís Gonzaga Gomes, Macao 999078, China ...
Abstract: This research investigates the application of a novel LSTM Convolutional Autoencoder (LSTM-CAE) framework for video anomaly detection, utilizing the UCSD Anomaly Detection Dataset.
Add a description, image, and links to the pytorch-autoencoder topic page so that developers can more easily learn about it.
The identification of cancer subtypes plays a very important role in the field of medicine. Accurate identification of cancer subtypes is helpful for both cancer treatment and prognosis Currently, ...
This project proposes an end-to-end framework for semi-supervised Anomaly Detection and Segmentation in images based on Deep Learning.