Zero-shot image retrieval involves retrieving images of unseen classes using a query image
of the same class. To determine whether a given image is of the same class as the query …

The expansion of the Internet of Things is expected to lead to the emergence of the Internet
of Medical Things (IoMT), which will revolutionize the health-care industry (IoT). The Internet …

High-dimensional datasets often harbor redundant, irrelevant, and noisy features that
detrimentally impact classification algorithm performance. Feature selection (FS) aims to …

In the present scenario of electronic commerce (E-Commerce), the indepth knowledge of
user interaction with resources has become a significant research concern that impacts …

Dimension reduction is a preprocessing step in machine learning for eliminating
undesirable features and increasing learning accuracy. In order to reduce the redundant …

In database systems, response time is paramount, to reduce this, fragmentation techniques
have been used that give favorable results. Fragmentation methods have been applied in …

Recently, with the explosive growth in the number of available medical images generated by
medical imaging systems, content-based retrieval of medical images has become an …

Abstract Content-Based Image Retrieval (CBIR) systems use a group of preset and
predefined parameters for their configuration. However, in machine learning methods …

Vertical fragmentation is a distributed database design technique widely used in relational
databases to reduce query execution costs. This technique has been also applied in …