Nowadays, cloud computing is known as an internet-based modern area among emerging
technologies that brings up an environment, in which computing resources such as …

As a unified model for describing biomedical knowledge, a biomedical ontology is of help to
solve the issues of data heterogeneity in different biomedical databases. However, these …

The non-revisiting genetic algorithm (NrGA) uses the entire search history with parameter-
less adaptive mutation to significantly enhance search performance. In the past decade, a …

In order to enhance the communication between sensor networks in the Internet of things
(IoT), it is indispensable to establish the semantic connections between sensor ontologies in …

Nowadays, the widespread application of 5G has promoted rapid development in different
areas, particularly in the Internet of Things (IoT), where 5G provides the advantages of …

The global environment has become more polluted due to the rapid development of
industrial technology. However, the existing machine learning prediction methods of air …

Data heterogeneity is the obstacle for the resource sharing on Semantic Web (SW), and
ontology is regarded as a solution to this problem. However, since different ontologies are …

The wide application of wireless sensor networks (WSN) brings challenges to the
maintenance of their security, integrity, and confidentiality. As an important active defense …

Local search algorithms have been successfully used for many combinatorial optimisation
problems. The choice of the most suitable local search algorithm is, however, a challenging …

Abstract Knowledge Graph (KG) provides a structured representation of domain knowledge
by formally defining entities and their relationships. However, distinct communities tend to …