RUcore, Rutgers University Community Repository
metadata only
X-NET: explainable AI-based network data security framework for Healthcare 4.0
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- An explainable multi-head attention network for healthcare IoT threat detection based on the MedDefender-MHAN framework.#30596
- The proposed EU Directives for AI liability leave worrying gaps likely to impact medical AI#203215
- irAE.AI: AI-powered exploration of real-world immune-related adverse events.#281042
- Evidential Reasoning Advances Interpretable Real-World Disease Screening#187294
- Optimizing Cybersecurity Attack Detection in Computer Networks: A Comparative Analysis of Bio-Inspired Optimization Algorithms Using the CSE-CIC-IDS 2018 Dataset#671740
Record · ID 462358
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive