With the rapid development of deep learning in the field of computer vision, few-shot
learning has emerged as an effective approach to tackle the challenge of data scarcity …

The increasing integration of cyber-physical systems (CPS) in critical infrastructures has
heightened the importance of ensuring their security against various cyber threats. Game …

Occlusion removal in light-field images remains a significant challenge, particularly when
dealing with large occlusions. An architecture based on end-to-end learning is proposed to …

Nowadays, M-Quadrature Amplitude Modulation (M-QAM) techniques are widely used to
modulate information by bit packets due to their ability to increase transfer rates. These …

This article proposes a secure communication enhancement scheme based on face
detection and chaotic partition permutation. The scheme uses edge detection technology to …

In recent years, unmanned aerial vehicles (UAVs) vision systems based on deep neural
networks (DNNs) have made remarkable advancements, demonstrating impressive …

With the rapid expansion of global trade, the complexity and diversification of supply chains
have become increasingly significant. In particular, the supply chain for hazardous materials …

In response to the vulnerability of image encryption techniques to chosen plaintext attacks,
this paper proposes a secure image communication scheme based on two-layer dynamic …

In recent years, cyberattacks have increased in sophistication, using a variety of tools to
exploit vulnerabilities across the global digital landscapes. Among the most commonly used …

Social economy actors have assisted the recovery from crises by providing innovative
solutions that are aimed at strengthening public services to complement government action …