All Stories

  1. ARMOR: Adaptive Resilience Against Model Poisoning Attacks in Continual Federated Learning for Mobile Indoor Localization
  2. DAILOC: Domain-Incremental Learning for Indoor Localization using Smartphones
  3. Towards Explainable Indoor Localization: Interpreting Neural Network Learning on Wi-Fi Fingerprints Using Logic Gates
  4. GATE: Graph Attention Neural Networks with Real-Time Edge Construction for Robust Indoor Localization using Mobile Embedded Devices
  5. SAFELOC: Overcoming Data Poisoning Attacks in Heterogeneous Federated Machine Learning for Indoor Localization
  6. CIELO: Class-Incremental Continual Learning for Overcoming Catastrophic Forgetting With Smartphone-Based Indoor Localization
  7. ARMOR: Adaptive Resilience Against Model Poisoning Attacks in Continual Federated Learning for Mobile Indoor Localization
  8. SENTINEL protects indoor localization from hacker attacks using AI for secure positioning.
  9. CALLOC uses AI to make indoor localization secure by resisting attacks
  10. FedHIL: Privacy-protected and robust distributed machine learning for Indoor localization
  11. Vision transformers for heterogeneity resilience and smartphone compatible indoor localization.
  12. Vision transformers for heterogeneity resilience and smartphone compatible indoor localization.
  13. SANGRIA improves indoor GPS using AI to reduce location errors across different smartphones.
  14. STELLAR predicts future indoor changes using AI, ensuring long-term adaptability without retraining.
  15. This AI uses an attention network to learn key navigation features, for smarter indoor navigation
  16. This AI uses an attention network to learn key navigation features, for smarter indoor navigation
  17. Underground Object Size Approximation using GPR Signal and Image Processing