Research on the Innovation of Science and Technology Management Data Service Mode under Artificial Intelligence Technology

[1] Jorge Gulín-González. (2022). Achievement and challenges of the cuban science, technology, and innovation system: a perspective on computational science. International Journal of Quantum Chemistry, 122(3). Search in Google Scholar

[2] Yu, L., & Duan, B. (2021). Optimization of iot-based sporting goods consumer service management system. Complexity, 2021(2), 1-13. Search in Google Scholar

[3] Ju, Y., Hou, H., & Yang, J. (2020). Integration quality, value co-creation and resilience in logistics service supply chains: moderating role of digital technology. Industrial Management & Data Systems, ahead-of-print(ahead-of-print). Search in Google Scholar

[4] Dong, B., & Wang, H. W. (2018). Secure partial encryption with adversarial functional dependency constraints in the database-as-a-service model. Data & Knowledge Engineering, 116(JUL.), 1-20. Search in Google Scholar

[5] Liu, K., Zheng, R., Zhang, M., Han, C., Zhu, J., & Wu, Q. (2018). Sraf: a service-aware resource allocation framework for vm management in mobile data networks. Mobile Information Systems, 2018(PT.3), 1904636.1-1904636.12. Search in Google Scholar

[6] Li, X., & Li, D. (2019). Key technologies of intelligent cloud collaborative health management service based on big data technology. Basic & clinical pharmacology & toxicology.(S3), 124. Search in Google Scholar

[7] Skipper, Joseph, B., Hazen, Benjamin, & T., et al. (2017). A framework for investigating the role of big data in service parts management. Journal of Cleaner Production. Search in Google Scholar

[8] Barton, D. N., Kelemen, E., Dick, J., Martin-Lopez, B., & Lapola, D. M. (2018). (dis) integrated valuation – assessing the information gaps in ecosystem service appraisals for governance support. Ecosystem Services, 29, 529-541. Search in Google Scholar

[9] Roy, D. G., Mahato, B., Ghosh, A., & De, D. (2022). Service aware resource management into cloudlets for data offloading towards iot. Microsystem technologies(2), 28. Search in Google Scholar

[10] Verginadis, Y., Apostolou, D., Taherizadeh, S., Ledakis, I., Mentzas, G., & Tsagkaropoulos, A., et al. (2021). Prestocloud: a novel framework for data-intensive multi-cloud, fog, and edge function-as-a-service applications. Information Resources Management Journal (IRMJ), 34. Search in Google Scholar

[11] Ruben, C. H., Rafael, D. S. J., Maristela, D. H., Robson, D. O. A., García Villalba Luis, & Tai-Hoon, K. (2017). Distributed data service for data management in internet of things middleware. Sensors, 17(5), 977. Search in Google Scholar

[12] Flathers, J. G. P. E. (2017). A service-based framework for the oais model for earth science data management. Earth Science Informatics, 10(3). Search in Google Scholar

[13] Sivapragash, C., Padmanaban, S., Eklas, H., Holm-Nielsen, J. B., & Hemalatha, R. (2019). Location-based optimized service selection for data management with cloud computing in smart grids. Energies, 12. Search in Google Scholar

[14] Wang, Y., Wang, X., Li, H., Dong, Y., & Shi, X. (2020). A multi-service differentiation traffic management strategy in sdn cloud data center. Computer Networks, 171, 107143. Search in Google Scholar

[15] Wang, S. (2023). Optimization health service management platform based on big data knowledge management. Optik, 273, 170412-. Search in Google Scholar

[16] Karolewicz, K., Beben, A., Batalla, J. M., Mastorakis, G., & Mavromoustakis, C. X. (2017). On efficient data storage service for iot. International Journal of Network Management. Search in Google Scholar

[17] Christie, S., Rolando, G. M., & Denise, H. (2023). Partnering with health sciences libraries to address challenges in bioimaging data management and sharing. Histochemistry and cell biology. Search in Google Scholar

[18] Troilo, G., De Luca, L. M., & Guenzi, P. (2017). Linking data‐rich environments with service innovation in incumbent firms: a conceptual framework and research propositions. Journal of Product Innovation Management, 34(5), 617-639. Search in Google Scholar

[19] Artamonov, A., Ionkina, K., Tretyakov, E., & Timofeev, A. (2018). Electronic document processing operating map development for the implementation of the data management system in a scientific organization. Procedia Computer Science, 145, 248-253. Search in Google Scholar

[20] Zheng, L. (2022). Risk management of new cosmetic product development based on data management of visualization in scientific computing. Scientific Programming. Search in Google Scholar

[21] Taehoon, Lee, Hyuk, J., Cho, Hyunchang, & Sungzoon, et al. (2017). Machine learning-based anomaly detection via integration of manufacturing, inspection and after-sales service data. Industrial Management & Data Systems. Search in Google Scholar

[22] Khosravi, H. A., & Khayyambashi, M. R. (2017). A system for providing load-aware virtual network service in a software-defined data center network. International Journal of Network Management, 27(5), e1989.1-e1989.19. Search in Google Scholar

[23] Junwei, Zou, Jiewei, Lan, Xiaoke, & Wang, et al. (2018). Multi-attribute-based access control policy for supply chain data service. Chinese Journal of Electronics. Search in Google Scholar