Research on Optimization Strategy of Artificial Intelligence Industry Resource Allocation Based on Patent Statistical Analysis
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-70598-4_33
Reference11 articles.
1. Chiang, L.H., Braun, B., Wang, Z., Castillo, I.: Towards artificial intelligence at scale in the chemical industry. AIChE J. 68, e17644 (2022)
2. Eramo, V., Lavacca, F.G., Catena, T., Salazar, P.J.P.: Proposal and investigation of an artificial intelligence (AI)-based cloud resource allocation algorithm in network function virtualization architectures. Future Internet 12(11), 196 (2020)
3. Xia, J., Cheng, G., Guo, D., Zhou, X.: A QOE-aware service-enhancement strategy for edge artificial intelligence applications. IEEE Internet Things J. 7, 9494–9506 (2020)
4. Alkurd, R., Abualhaol, I.Y., Yanikomeroglu, H.: Personalized resource allocation in wireless networks: an AI-enabled and big data-driven multi-objective optimization. IEEE Access 8, 144592–144609 (2020)
5. Rathod, T., Tanwar, S.: Autoencoder-based efficient resource allocation in device-to-device communication. Phys. Commun. 60, 102133 (2023)
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