5 research outputs found
HiSIS: 4-Level Hierarchical Semantic Indexing for Efficient Content Matchingover Semantic Cache
No full textAuthor classification using transfer learning and predicting stars in co‐author networks
No full textThe vast amount of data is key challenge to mine a new scholar that is plausible to be star in the upcoming period. The enormous amount of unstructured data raise every year is infeasible for traditional learning; consequently, we need a high quality of preprocessing technique to expand the performance of traditional learning. We have persuaded a novel approach, Authors classification algorithm using Transfer Learning (ACTL) to learn new task on target area to mine the external knowledge from the source domain. Comprehensive experimental outcomes on real-world networks showed that ACTL, Node-based Influence Predicting Stars, Corresponding Authors Mutual Influence based on Predicting Stars, and Specific Topic Domain-based Predicting Stars enhanced the node classification accuracy as well as predicting rising stars to compared with contemporary baseline methods
Security and privacy in multi-cloud and hybrid cloud environments: Challenges, strategies, and future directions
No full text©2025 Elsevier B.V. The attached document (embargoed until 01/08/2027) is an author produced version of a paper published in Computers & Security uploaded in accordance with the publisher’s self-archiving policy. The final published version (version of record) is available online at the link. Some minor differences between this version and the final published version may remain. We suggest you refer to the final published version should you wish to cite from it
