Object detection can be regarded as one of the most fundamental and challenging visual
recognition task in computer vision and it has received great attention over the past few …

Object detection is a fundamental but challenging issue in the field of generic image
analysis; it plays an important role in a wide range of applications and has been receiving …

Object detection is one of the most important and challenging branches of computer vision,
which has been widely applied in people's life, such as monitoring security, autonomous …

Deep learning has been successfully applied to solve various complex problems ranging
from big data analytics to computer vision and human-level control. Deep learning advances …

Fake detection has become an urgent task. Generative adversarial networks (GANs)
extended to deep learning has shown its extraordinary ability in the fields of image, audio …

As a large amount of malicious software (malware), including DDoS or Trojan horse pervade
in communication networks, several approaches based on global and local features have …

The article focuses on the gentle introduction of Artificial Intelligence and the concepts of
machine learning (ML) and deep learning (DL). The rapid developments made in DL …

Despite recent advances of deep neural networks in hand vein identification, the existing
solutions assume the availability of a large and rich set of training image samples. These …

In this article, a novel design of a hierarchicalfuzzy system (HFS) based on a self-organized
fuzzy partition and fuzzy autoencoder is proposed. The initial rule set of the system is empty …

Deepfakes are realistic-looking fake media generated by deep-learning algorithms that
iterate through large datasets until they have learned how to solve the given problem (ie …