Nowadays, there is a growing demand for information security and security rules all across
the world. Intrusion detection (ID) is a critical technique for detecting dangers in a network …

The metaverse is the next-generation internet, which can be described as three-dimensional
virtual environments that reflect different aspects of the physical world. Users can engage in …

Critical applications ranging from sensitive military data to restricted area access demand
selective user authentication. The prevalent methods of tokens, passwords, and other …

Gender identification is a need in forensics investigation. In addition to their use for
identification, fingerprints are used for gender identifications. In this work, we propose a …

The integration of deep learning technologies, particularly Convolutional Neural Networks
(CNNs), has profoundly transformed fingerprint identification, providing a more effective and …

In particular with the recent of corona disaster, it should be important to keep healthy eating
habits and to have to be careful that don't be obesity or overweight. For that purpose, it is …

This paper proposes a Convolutional Neural Network (CNN) and Long Short-Term Memory
(LSTM) based hybrid model for enhancement of fingerprint recognition and matching from …

Fingerprints are a crucial characteristic of the human anatomy, and numerous fingerprint
matching techniques predominantly incorporate cutting-edge deep learning methodologies …

Among many forms of biometric identification, fingerprints are among the most common. Due
to their individuality, they are thought to be vital in forensics. Human operators have long …

Image classification problems often face the issues of high dimensionality and large
variance within the same class. Deep convolutional neural networks are designed to solve …