RoboFlux Whitepaper
  • RoboFlux AI: Comprehensive Technical Whitepaper
  • 1. Introduction
  • 2. System Overview
  • 3. Modular Architecture
  • 4. Data Ingestion and Preprocessing Layer
    • 4.1 Data Stream Typologies
    • 4.2 Data Pipeline Orchestration
    • 4.3 Data Normalization & Feature Engineering
  • 5. Anomaly Detection Subsystem
    • 5.1 Tensor-Based Anomaly Detection
    • 5.2 Online Learning Adaptation
  • 6. Quantum-Inspired Path and Task Optimization
  • 7. Secure Webhook Integration Framework
  • 8. AI Knowledge Hub Implementation
  • 9. Report Generation and Distribution Mechanism
  • 10. Deployment Modalities
  • 11. Cybersecurity and Compliance Protocols
  • 12. Future Roadmap and Extensibility
Powered by GitBook
On this page

5. Anomaly Detection Subsystem

The Anomaly Detection Subsystem (ADS) represents the cognitive nucleus of RoboFlux AI, responsible for continuous surveillance and integrity validation of operational telemetry from robotic entities.

Previous4.3 Data Normalization & Feature EngineeringNext5.1 Tensor-Based Anomaly Detection

Last updated 12 days ago