Chaos has been one of the most effective cryptographic sources since it was first used in
image-encryption algorithms. This paper closely examines the development process of …

The rapid emergence of deep learning (DL) technology has resulted in its successful use in
various fields, including aquaculture. DL creates both new opportunities and a series of …

The vast amount of data produced by today's medical imaging systems has led medical
professionals to turn to novel technologies in order to efficiently handle their data and exploit …

Supervised machine learning methods for image analysis require large amounts of labelled
training data to solve computer vision problems. The recent rise of deep learning algorithms …

Ambient intelligence is increasingly finding applications in health-care settings, such as
hel** to ensure clinician and patient safety by monitoring staff compliance with clinical …

Human beings experience life through a spectrum of modes such as vision, taste, hearing,
smell, and touch. These multiple modes are integrated for information processing in our …

Image tagging is an essential step for develo** Automatic Image Annotation (AIA)
methods that are based on the learning by example paradigm. However, manual image …

Traditional handcrafted crowd-counting techniques in an image are currently transformed
via machine-learning and artificial-intelligence techniques into intelligent crowd-counting …

Content‐based image retrieval (CBIR) systems require users to query images by their low‐
level visual content; this not only makes it hard for users to formulate queries, but also can …

The rapid growth of the Web in the past two decades has made it the largest publicly
accessible data source in the world. Web mining aims to discover useful information or …