Farah Ahmed

Computer Science

1. Forensic Image 100%
2. Identification 83%
3. Deep Learning 77%
4. Digital Photograph 69%
5. Convolutional Neural Network 63%
6. Acquisition Time 55%
7. Database 44%
8. Temporal Behavior 41%
9. Machine Learning-Based Approach 41%
10. Overlapping Image 41%
11. Database Forensics 37%
12. Comparative Analysis 33%
13. Forensics 30%
14. Digital Image 30%
15. Temporal Change 27%
16. Convolutional Neural Network 27%
17. False Negative 16%
18. Sensor 16%
19. Filtering 16%
20. Application 16%
21. Deep Convolutional Neural Networks 16%
22. Accuracy 16%
23. Simulation Mode 16%
24. Deep Neural Network 16%
25. Forensic Investigation 16%
26. False Positive Rate 16%
27. Wavelet Domain 16%
28. Feature Extraction 13%
29. Research Worker 13%
30. Nonoverlapping Block 13%
31. Forensic Application 13%
32. Links 13%
33. Transfer Learning 13%
34. Networks 13%
35. Learning Approach 13%
36. Image Content 13%
37. Machine Learning 13%
38. Estimation Accuracy 13%
39. Research Community 13%
40. Digital Camera 13%
41. Training Sample 13%
42. Timing Information 11%
43. Pixel Location 11%
44. Forensic Analyst 11%