Content-based medical image retrieval (CBMIR) is one of the most challenging and
ambiguous tasks used to minimize the semantic gap between images and human queries in …

Scholarly venue recommendation is an emerging field due to a rapid surge in the number of
scholarly venues concomitant with exponential growth in interdisciplinary research and …

In recent years, there has been a growing interest in analyzing text data from different
scientific fields. The significant advancement of Artificial Intelligence in Natural Language …

Content-based image medical retrieval (CBMIR) is a technique for retrieving medical images
on the basis of automatically derived image features such as colour, texture and shape …

Over a couple of years, huge attention is being paid by the researchers on the content-
based image retrieval (CBIR) in order to successfully retrieve the contents from large-scale …

Medical imaging is essential to the medical profession because it gives physicians access to
crucial data on interior body structures for clinical analysis and treatment decisions that help …

The widespread use of medical imaging devices allows deep analysis of diseases.
However, the task of examining medical images increases the burden of specialist doctors …

The current approaches for image retrieval are more concentrating on numerous image
features. Texture, shape, spatial information, and color are the fundamental features to deal …

Document image retrieval (DIR) systems simplify access to digital data within printed
documents by capturing images. These systems act as bridges between print and digital …

With the popularity of the media cloud computing industry, individuals and organizations
outsource image computation and storage to the media cloud server to reduce the storage …