New directions in convergence computing
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management Science and Operations Research,Computer Science Applications,Hardware and Architecture,Library and Information Sciences
Link
https://link.springer.com/content/pdf/10.1007/s00779-023-01728-x.pdf
Reference17 articles.
1. Mallick PK, Mishra S, Chae GS (2020) Digital media news categorization using Bernoulli document model for web content convergence. Pers Ubiquit Comput. https://doi.org/10.1007/s00779-020-01461-9
2. Yi C, Cho J (2020) Convergence of multiple deep neural networks for classification with fewer labeled data. Pers Ubiquit Comput. https://doi.org/10.1007/s00779-020-01448-6
3. Math S, Tam P, Lee A, Kim S (2020) “A NB-IoT data transmission scheme based on dynamic resource sharing of MEC for effective convergence computing.” Pers Ubiquit Comput. https://doi.org/10.1007/s00779-020-01449-5
4. Bak HY, Park SB (2021) Camera motion detection for story and multimedia information convergence. Pers Ubiquit Comput. https://doi.org/10.1007/s00779-021-01585-6
5. Gu MS, Hwang J, Mun HJ (2021) Design and implementation for semantic information retrieval through convergence of ontology and user context based on mobile device. Pers Ubiquit Comput. https://doi.org/10.1007/s00779-020-01503-2
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