Artificial intelligence for the metaverse: A survey
Along with the massive growth of the Internet from the 1990s until now, various innovative
technologies have been created to bring users breathtaking experiences with more virtual …
technologies have been created to bring users breathtaking experiences with more virtual …
Automatic modulation classification: A deep architecture survey
Automatic modulation classification (AMC), which aims to blindly identify the modulation type
of an incoming signal at the receiver in wireless communication systems, is a fundamental …
of an incoming signal at the receiver in wireless communication systems, is a fundamental …
Need of 6G for the metaverse realization
The concept of the Metaverse aims to bring a fully-fledged extended reality environment to
provide next generation applications and services. Development of the Metaverse is backed …
provide next generation applications and services. Development of the Metaverse is backed …
Learning constellation map with deep CNN for accurate modulation recognition
Modulation classification, recognized as the intermediate step between signal detection and
demodulation, is widely deployed in several modern wireless communication systems …
demodulation, is widely deployed in several modern wireless communication systems …
Bimodal learning via trilogy of skip-connection deep networks for diabetic retinopathy risk progression identification
Abstract Background Diabetic Retinopathy (DR) is considered a pathology of retinal
vascular complications, which stays in the top causes of vision impairment and blindness …
vascular complications, which stays in the top causes of vision impairment and blindness …
Learning 3D spatiotemporal gait feature by convolutional network for person identification
For person identification in non-interaction biometric systems, gait recognition has been
recently encouraged in literature and industrial applications instead of face recognition …
recently encouraged in literature and industrial applications instead of face recognition …
Exploiting a low-cost CNN with skip connection for robust automatic modulation classification
Recently, deep learning (DL) is an innovative machine learning (ML) technique that has
gained the outstanding achievements in computer vision and natural language processing …
gained the outstanding achievements in computer vision and natural language processing …
Cross-attentional bracket-shaped convolutional network for semantic image segmentation
As perception-related applications are of great importance in industrial production and daily
life nowadays, solutions for understanding given images semantically receive numerous …
life nowadays, solutions for understanding given images semantically receive numerous …
Retinal vessel segmentation using round-wise features aggregation on bracket-shaped convolutional neural networks
With the recent advent of deep learning in medical image processing, retinal blood vessel
segmentation topic has been comprehensively handled by numerous research works …
segmentation topic has been comprehensively handled by numerous research works …
Convolutional network with densely backward attention for facial expression recognition
The emergence of convolutional neural network (CNN) has enabled facial expression
recognition to accomplish significant outcomes nowadays. However, while existing …
recognition to accomplish significant outcomes nowadays. However, while existing …