Identifying potential hazards of construction project is a data-intensive process that involves
various types of information such as site data, specifications, and engineering documents …

Study on image indexing and retrieval concepts have evolved the research further on
Content Based Image Retrieval (CBIR). The CBIR system analyses the image content …

Traditional Artificial Intelligence (AI) technologies used in developing smart cities solutions,
Machine Learning (ML) and recently Deep Learning (DL), rely more on utilising best …

Multimedia content is increasing immensely as there are various websites available to
upload images. Image retrieval is a method of searching for, viewing, and retrieving images …

Online retrieval systems for specified Information is more growth, so the need for efficient
retrieval schemes become more significant area to employ user's need. Ontology based …

This work combines semantic reasoning and machine learning to create tools that allow
curators of the visual art collections to identify and correct the annotations of the artwork as …

The healthcare industry is increasingly reliant on access to large volumes of patient data,
which is critical for improving patient outcomes, reducing costs, and ensuring regulatory …

Semantic web image retrieval is useful to end-users for semantic image searches over the
Internet. This paper aims to develop image retrieval techniques for large-scale web image …

In this paper, we aim at improving text-based image search using Semantic Web
technologies. We introduce our notions of concept and instance in order to better express …

Image and video retrieval by their semantic content has been an important and challenging
task for years, because it ultimately requires bridging the symbolic/subsymbolic gap. Recent …