Multimodal biometric systems have been widely applied in many real-world applications due
to its ability to deal with a number of significant limitations of unimodal biometric systems …

Artificial intelligence (AI) has grown tremendously in the past decade. The application of AI
in teledentistry can reform the way dental care, dental education, research, and subsequent …

Tackling with the Covid-19 pandemic has been a grueling task from the day one of its rise.
To prevent the spread of the virus, one of the major steps taken by governments of the world …

In the present world, biometric systems are used to analyze and verify a person's distinctive
bodily or behavioral features for authentication or recognition. Till now, there are numerous …

This paper presents the impact of automatic feature extraction used in a deep learning
architecture such as Convolutional Neural Network (CNN). Recently CNN has become a …

The home security system has become vital for every house. Previously, most doors can be
open by using traditional ways, such as keys, security cards, password or pattern. However …

Iris is a powerful tool for reliable human identification. It has the potential to identify
individuals with a high degree of assurance. Extracting good features is the most significant …

Autism Spectrum Disorder (ASD) is a neurodevelopmental that impact the social interaction
and communication skills. Diagnosis of ASD is one of the difficult problems facing …

In this paper, a face recognition method based on Convolution Neural Network (CNN) is
presented. This network consists of three convolution layers, two pooling layers, two full …

Recent researches have shown that spectral representation provides a significant speed-up
in the massive computation workload of convolution operations in the inference (feed …