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  1. GATE: Graph Attention Neural Networks with Real-Time Edge Construction for Robust Indoor Localization using Mobile Embedded Devices
  2. CIELO: Class-Incremental Continual Learning for Overcoming Catastrophic Forgetting With Smartphone-Based Indoor Localization
  3. SENTINEL protects indoor localization from hacker attacks using AI for secure positioning.
  4. CALLOC uses AI to make indoor localization secure by resisting attacks
  5. FedHIL: Privacy-protected and robust distributed machine learning for Indoor localization
  6. Vision transformers for heterogeneity resilience and smartphone compatible indoor localization.
  7. Vision transformers for heterogeneity resilience and smartphone compatible indoor localization.
  8. SANGRIA improves indoor GPS using AI to reduce location errors across different smartphones.
  9. STELLAR predicts future indoor changes using AI, ensuring long-term adaptability without retraining.
  10. This AI uses an attention network to learn key navigation features, for smarter indoor navigation
  11. This AI uses an attention network to learn key navigation features, for smarter indoor navigation
  12. Underground Object Size Approximation using GPR Signal and Image Processing