Abstract: The evolution of Beyond 5G (B5G) and 6G networks requires the design of powerful deep neural networks to effectively address the emerging threats and ensure predictive, adaptive security ...

Abstract: This paper describes a new strategy for medical image deaning based on the Deep Convolutional Autoencoders (DCAE) with focus on ultrasound modality. There are several types of noise ...

This repository contains a variety of CNN-based approaches (CNN, CNN-SVM, InceptionV3) used to classify families of malware in the Malimg, MaleX, and MMCC datasets under a variety of dataset ...

The paper Masked Autoencoders Are Scalable Vision Learners, published this week by Kai-Ming He, Xinlei Chen and their Facebook AI Research (FAIR) team, has become a hot topic in the computer vision ...

If you want to use the pre-trained models to reproduce the results or just see the results, skip to Evaluation and Results section. If you want to train the neural network for this work purposes, you ...

Ultrasound (US) imaging is arguably the most commonly used modality for fetal screening. Recently, 3DUS has been progressively adopted in modern obstetric practice, showing promising diagnosis ...