Abstract Knowledge graphs, representation of information as a semantic graph, have
caused wide concern in both industrial and academic world. Their property of providing …

With the widespread growth of data on the Web, the need for efficient methods to get and
arrange valuable information from these big noisy data is increased. The knowledge graph …

In our digital age, data are generated constantly from public and private sources, social
media platforms, and the Internet of Things. A significant portion of this information comes in …

In recent decades, more than 100,000 scientific articles have been devoted to the
development of electrode materials for supercapacitors and batteries. However, there is still …

Internet of Things (IoT) provides ubiquitous intelligence and pervasive interconnections to
diverse physical objects. A key technology to seamlessly integrate different IoT devices into …

During the past two decades, 3D simulation models have gained importance in the
development of software solutions that aim to mimic real-world events and phenomena with …

Because of its ability to make educated judgments, deep learning has gained massive
attention in recent years. Many of today's deep learning systems rely on centralized servers …

The rise of digitization of cultural documents offers large-scale contents, opening the road for
development of AI systems in order to preserve, search, and deliver cultural heritage. To …

The combination of networks and knowledge graphs (KGs) improves the accuracy and
interpretability of networks in image classification. Previous methods fuse the entire KG with …

Most of the existing object detection algorithms are trained on medical datasets and then
used for prediction. When the features of an object are not obvious in an image, these …