Voice assistants (VA) have become prevalent on a wide range of personal devices such as
smartphones and smart speakers. As companies build voice assistants with extra …

Motivated by the advancing computational capacity of distributed end-user equipment (UE),
as well as the increasing concerns about sharing private data, there has been considerable …

Automatic speech recognition (ASR) has recently become an important challenge when
using deep learning (DL). It requires large-scale training datasets and high computational …

Benefiting from the advancement of algorithms in massive data and powerful computing
resources, deep learning has been explored in a wide variety of fields and produced …

Cyber-security issues on adversarial attacks are actively studied in the field of computer
vision with the camera as the main sensor source to obtain the input image or video data …

The importance of understanding and explaining the associated classification results in the
utilization of artificial intelligence (AI) in many different practical applications (eg, cyber …

The Industry 4.0 digital transformation envisages future industrial systems to be fully
automated, including the control, upgrade, and configuration processes of a large number of …

Deep neural networks (DNNs) perform well in the fields of image recognition, speech
recognition, pattern analysis, and intrusion detection. However, DNNs are vulnerable to …

Cyber-physical systems (CPS) are increasingly relying on machine learning (ML)
techniques to reduce labor costs and improve efficiency. However, the adoption of ML also …

This paper presents a new layered dielectric leaky-wave antenna (LWA) for the sub-
terahertz (THz) frequency range capable of efficient operation at the broadside with a wide …