The issues of getting similar images with better accuracy is now a challenge in content-
based image retrieval (CBIR) system due to exponential rising volume of image databases …

In recent years, a massive number of images have generated on the online social network
(OSN). This calls for an efficient and rapid way to extract the information from the OSN …

Nowadays, deep learning technique becomes the most popular fast-growing machine
learning method in an Artificial Neural Network. The Convolution Neural Network (CNN) is …

Data clustering provides an overview of the grouping of data through classification so that
the groups have levels that have the same category. Cluster classification is carried out on …

The vast growth in social media platforms such as Twitter, Instagram, Whatsapp, Facebook,
etc. leads to the uploading of billions of images on the web. Content-Based Image Retrieval …

Currently, the term'content-based image retrieval'seems to be a highly attentive system for
handling the broad image datasets since the data storage mechanisms and image …

Data clustering provides an overview of the grouping of data through classification so that
the groups have levels that have the same category. Cluster classification is carried out on …

The purpose of this study using the K-Means Cluster method is to determine the level of
distribution of Covid-19 cases in the high, medium, and low categories in each region in …

AIGC, as a new generation of intelligent generation technology, provides new ideas for the
progress and development of the new media field. This study constructs a communication …

Because of the availability of IoT and the affordability of image sensors, several picture
databases have been developed for use in a variety of contexts. The need to provide …