Modern cyber physical systems (CPSs) has widely being used in our daily lives because of
development of information and communication technologies (ICT). With the provision of …

Image encryption techniques play a significant role in multimedia applications to secure and
authenticate digital images. This paper presents a comprehensive study of various image …

Brain tumor is one of the most dangerous cancers in people of all ages, and its grade
recognition is a challenging problem for radiologists in health monitoring and automated …

This research allows the secure surveillance approach for the Internet of Things (IoT)
methodology to be developed by integrating wireless signalling and image encryption …

The recent advances in embedded processing have enabled the vision based systems to
detect fire during surveillance using convolutional neural networks (CNNs). However, such …

Abstract The Internet of Things (IoT) is an emerging paradigm branded by heterogeneous
technologies composed of smart ubiquitous objects that are seamlessly connected to the …

Convolutional neural networks (CNNs) have yielded state-of-the-art performance in image
classification and other computer vision tasks. Their application in fire detection systems will …

Rapid developments in urbanization and autonomous industrial environments have
augmented and expedited the need for intelligent real-time video surveillance. Recent …

An asynchronous updating Boolean network is employed to simulate and analyze the gene
expression of a particular tissue or species, revealing the life activity process from a system …

Tactile Internet can combine multiple technologies by enabling intelligence via mobile edge
computing and data transmission over a 5G network. Recently, several convolutional neural …