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1. Achieving local differential location privacy protection in 3D space via Hilbert encoding and optimized random response

2. Wireless Network-on-Chip Security Review: Attack Taxonomy, Implications, and Countermeasures

3. Perturb and optimize users’ location privacy using geo-indistinguishability and location semantics

4. Deep graph level anomaly detection with contrastive learning

5. Learning Distributed Representations and Deep Embedded Clustering of Texts

6. QoS-Aware Energy Management and Node Scheduling Schemes for Sensor Network-Based Surveillance Applications

7. Adversarial Robustness of Deep Reinforcement Learning Based Dynamic Recommender Systems

8. Towards a Machine Learning Driven Trust Management Heuristic for the Internet of Vehicles

9. Secure Smart Communication Efficiency in Federated Learning: Achievements and Challenges

10. Dataset for toothbrushing activity using brush-attached and wearable sensors

11. Advancing smart building readiness: Automated metadata extraction using neural language processing methods

12. Dynamic Release of Big Location Data Based on Adaptive Sampling and Differential Privacy

13. Achieving Differential Privacy Publishing of Location-Based Statistical Data Using Grid Clustering

14. Selecting Workers Wisely for Crowdsourcing When Copiers and Domain Experts Co-exist

15. AndroCon: An Android-Based Context-Aware Middleware Framework

16. Service Solution Planning Considering Priori Knowledge and Fast Retrieval

17. Adaptive Observer Based Fault Tolerant Control for Sensor and Actuator Faults in Wind Turbines

18. GrandBase: generating actionable knowledge from Big Data

19. RF-Care: Device-Free Posture Recognition for Elderly People Using A Passive RFID Tag Array

20. Software-Defined Heterogeneous Vehicular Networking: The Architectural Design and Open Challenges

21. TagFall: Towards Unobstructive Fine-Grained Fall Detection based on UHF Passive RFID Tags

22. CupMar: A deep learning model for personalized news recommendation based on contextual user-profile and multi-aspect article representation

24. The Role of Communication Time in the Convergence of Federated Edge Learning

26. Edge Computing and Sensor-Cloud: Overview, Solutions, and Directions

27. Modeling Personality Effect in Trust Prediction

28. DAGAD: Data Augmentation for Graph Anomaly Detection

29. An internet of things service roadmap

30. A User-Oriented Taxi Ridesharing System with Large-Scale Urban GPS Sensor Data

31. Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image Segmentation

32. A Survey on Recommender Systems for Internet of Things: Techniques, Applications and Future Directions

33. Incremental Graph Pattern Based Node Matching with Multiple Updates

34. A Comprehensive Survey on Community Detection With Deep Learning

35. User Interface Derivation for Business Processes

36. Integrating Context to Preferences and Goals for Goal-oriented Adaptability of Software Systems

37. Quantifying the adaptability of workflow-based service compositions

38. Swift and Sure: Hardness-aware Contrastive Learning for Low-dimensional Knowledge Graph Embeddings

39. Gradient Boosted Neural Decision Forest

40. Modeling User Demand Evolution for Next-basket Prediction

42. Nonrigid Point Set Registration With Robust Transformation Learning Under Manifold Regularization

43. Multi-Queue Request Scheduling for Profit Maximization in IaaS Clouds

44. A Survey of Trust Management in the Internet of Vehicles

45. Neighborhood Intervention Consistency: Measuring Confidence for Knowledge Graph Link Prediction

46. Conversational Question Answering: A Survey

47. Internet of things search engine

48. Dynamic Release of Big Location Data Based on Adaptive Sampling and Differential Privacy

49. Graph Learning based Recommender Systems: A Review

50. Incremental Graph Computation: Anchored Vertex Tracking in Dynamic Social Networks

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