In the Internet-of-Things (IoT) era, user authentication is essential to ensure the security of
connected devices and the customization of passive services. However, conventional …

Image segmentation is the method of partitioning an image into a group of pixels that are
homogenous in some manner. The homogeneity dependents on some attributes like …

Digital Twin is the mirror image of any living or non-living objects. Digital Twin and Cyber-
physical system (CPS) provides a new era for industries especially in the healthcare sector …

In the past few years, deep learning-based models have been very successful in achieving
state-of-the-art results in many tasks in computer vision, speech recognition, and natural …

A multimodal biometric system integrates information from more than one biometric modality
to improve the performance of each individual biometric system and make the system robust …

This paper introduces a methodology based on deep convolutional neural networks (DCNN)
for motor imagery (MI) tasks recognition in the brain-computer interface (BCI) system. More …

Face anti-spoofing (aka presentation attack detection) has recently emerged as an active
topic with great significance for both academia and industry due to the rapidly increasing …

Since the human face preserves the richest information for recognizing individuals, face
recognition has been widely investigated and achieved great success in various …

Biometric recognition, or simply biometrics, refers to the use of distinctive anatomical and/or
behavioral characteristics or identifiers (eg, fingerprints, face, iris, voice, and hand geometry) …

This paper proposes a novel approach for driving chemometric analyses from spectroscopic
data and based on a convolutional neural network (CNN) architecture. For such purpose …