Images contain very sensitive and confidential information. Because images play a
significant role in many applications such as military communication, remote‐sensing, and …

Deep learning models are widely used in the automatic analysis of radiological images.
These techniques can train the weights of networks on large datasets as well as fine tuning …

The paper describes the usage of self-learning Hierarchical LSTM technique for classifying
hatred and trolling contents in social media code-mixed data. The Hierarchical LSTM-based …

Image encryption is one of the important methods for preservation of confidentiality and
integrity of digital images. In this paper, a color image cryptosystem based on improved …

Image encryption protects the sensitive and confidential information of images. This
protection comes from the combination of secret keys, encryption, and decryption algorithms …

Chaotic-based image encryption approaches have attracted great attention in the field of
information security. The properties of chaotic maps such as randomness and sensitivity …

Chaotic maps are extensively utilized in the field of image encryption to generate secret
keys. However, these maps suffer from hyper-parameters tuning issues. These parameters …

Image fusion plays a significant role in various computer vision applications. However,
designing an efficient image fusion technique is still a challenging task. In this paper, a novel …

Symmetric image cryptography is a mechanism in which image pixels are encrypted into
some meaningless format called cipher image. Only authorized users have access to the …

A multi-image encryption scheme based on the fractional-order hyperchaotic system is
designed in this paper. The chaotic characteristics of this system are analyzed by the phase …