AI- and Deep Learning–Driven Framework for Secure Cloud-Based Healthcare and EV Network Applications with SAP and Oracle
Abstract
The rapid expansion of cloud computing, AI, and deep learning technologies has created opportunities to develop secure, scalable, and intelligent systems for healthcare and electric vehicle (EV) networks. This study proposes an AI- and deep learning–driven framework that integrates SAP and Oracle platforms to provide secure cloud-based applications across these domains. The framework leverages deep learning models for predictive analytics, anomaly detection, and intelligent decision-making, while AI algorithms optimize resource allocation, network performance, and system reliability. Privacy-preserving mechanisms and secure access protocols ensure data integrity and regulatory compliance in both healthcare and EV networks. Experimental evaluation demonstrates enhanced system performance, reliability, and security, highlighting the framework’s potential for enterprise-scale deployment. This approach provides a unified architecture that bridges healthcare, EV infrastructure, and cloud technologies, facilitating intelligent and secure networked applications.
Article Information
Journal |
International Journal of Future Innovative Science and Technology (IJFIST) |
|---|---|
Volume (Issue) |
Vol. 7 No. 4 (2024): International Journal of Future Innovative Science and Technology (IJFIST) |
DOI |
|
Pages |
13107-13115 |
Published |
July 5, 2024 |
| Copyright |
All rights reserved |
Open Access |
This work is licensed under a Creative Commons Attribution 4.0 International License. |
How to Cite |
Samuel Arthur Kingsley Doyle (2024). AI- and Deep Learning–Driven Framework for Secure Cloud-Based Healthcare and EV Network Applications with SAP and Oracle. International Journal of Future Innovative Science and Technology (IJFIST) , Vol. 7 No. 4 (2024): International Journal of Future Innovative Science and Technology (IJFIST) , pp. 13107-13115. https://doi.org/10.15662/IJFIST.2024.0704002 |
References
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