One integral and necessary part of human behavior is emotion, which affects the way people
communicate. Although human beings can recognize and interpret facial expressions, the …

In present day agriculture, early and accurate identification of plant diseases is essential for
prompt response, which protects crop quality and output. This paper presents the Entangled …

In this paper, deep-learning-based approaches namely fine-tuning of pretrained
convolutional neural networks (VGG16 and VGG19), and end-to-end training of a developed …

This paper proposes a novel efficient descriptor for finger knuckle print (FKP) identification.
Our proposed descriptor is called MDL (M agnitude, D irection, and L ocal patterns), as it …

Historically, individuals with hearing impairments have faced significant challenges in
effective communication due to the lack of adequate resources. Recent technological …

Digital forensic is part of forensic science that implicitly covers crime related to computer and
other digital devices. It‟ s being for a while that academic studies are interested in digital …

Many current computational models that aim to simulate cortical and hippocampal modules
of the brain depend on artificial neural networks. However, such classical or even deep …

Privacy and security are significant issues in the field of biometric traits in today's world. This
research paper presents a comprehensive study that utilizes seven different deep learning …

ABSTRACT HAR is defined as using machine learning to classify certain human activities in
specific time periods by learning from inertial sensor time series data [2]. Over the past few …

Depuis lors, l'homme a cherché à mettre en place des moyens fiables et efficaces pour s'
assurer de l'identité des personnes avec lesquelles il interagit. Depuis l'antiquité, le meilleur …