Axel Weißenfeld

Computer Science

1. Reconnaissance 100%
2. Deep Learning Method 75%
3. Data Sharing 75%
4. Federated Learning 75%
5. Trajectory Data 50%
6. Artificial Intelligence 42%
7. Information Extraction 37%
8. Large Language Model 29%
9. Machine Learning 25%
10. Learning System 25%
11. Training Phase 25%
12. Fingerprint Scanner 25%
13. Language Modeling 25%
14. Recognition System 25%
15. Fingerprint Image 25%
16. Image Quality 25%
17. Information Processing 25%
18. Data Representation 25%
19. Data Access 25%
20. Semantic Web 25%
21. Privacy Preservation 25%
22. Legal Compliance 25%
23. Interoperability 25%
24. Personal Data 25%
25. Ontology 25%
26. Industrial Applications 25%
27. Knowledge Graph 25%
28. Mobile Device 25%
29. Deep Neural Network 25%
30. Open Source 25%
31. Comparative Analysis 25%
32. Public Security 25%
33. Anomaly Detection 25%
34. Data Processing 20%
35. Data Fusion 20%
36. Use Case 18%
37. Deep Learning Model 17%
38. Anonymization 15%
39. Provider Data 15%
40. Enforcement Agency 12%
41. Graphical User Interface 12%
42. Quality Assessment 12%
43. Fingerprint Database 12%
44. Classification Accuracy 12%
45. Exponential Growth 12%
46. Artificial Intelligence Model 12%
47. Semantic Web Technology 12%
48. Data Management 12%
49. Intelligence Gathering 12%
50. Potential Benefit 12%