Managing Microsoft 365 and Azure Active Directory resources efficiently often requires automation tools beyond standard admin ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
Aiomics announces the integration of a Hybrid GraphRAG engine into its clinical platform. By anchoring artificial ...
Mobile CrowdSensing (MCS) has become a powerful sensing paradigm for information collection recently. As sensing becomes more ...
1 Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, Luxembourg, Luxembourg 2 Department of Electrical and Computer Engineering (EIT), RPTU University of ...
Abstract: Graph-structured combinatorial problems in complex networks are prevalent in many domains, and are computationally demanding due to their complexity and non-linear nature. Traditional ...
1 Learning Resource Centre, Zhejiang Open University, Hangzhou, China. 2 Information Center, Zhejiang Open University, Hangzhou, China. As the world’s population ages more quickly, elder education’s ...
Abstract: Optimization is crucial for the efficiency and reliability of multi-access edge computing (MEC) networks. Many optimization problems in this field are NP-hard and do not have effective ...
ABSTRACT: In the context of power generation companies, vast amounts of specialized data and expert knowledge have been accumulated. However, challenges such as data silos and fragmented knowledge ...
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