Fahdah Ali Almarshad

Computer Science

1. Adam Optimizer 9%
2. Aided Diagnosis 19%
3. Android Malware 38%
4. Artificial Data 12%
5. Big Data 38%
6. Case Study 38%
7. Convolutional Neural Network 38%
8. Cyber Attack 9%
9. Data Partitioning 12%
10. Deep Feature 12%
11. Deep Learning Method 100%
12. Deep Learning Technique 9%
13. Discriminator 38%
14. Evaluation Metric 13%
15. False Positive Rate 9%
16. Feature Extraction 38%
17. Feature Selection 38%
18. Fraud Detection 38%
19. Frequency Coefficient 19%
20. Generative Adversarial Networks 19%
21. Generative Technique 12%
22. Image Classification 19%
23. Image Fusion 19%
24. Information Assurance 38%
25. Internet-Of-Things 38%
26. Leaning Parameter 9%
27. Learning System 60%
28. Learning Technique 38%
29. Machine Learning 60%
30. Majority Class 12%
31. Malware 38%
32. Malware Sample 12%
33. Model Architecture 12%
34. Monitoring System 38%
35. Natural Language Processing 9%
36. One-shot Learning 12%
37. Open Research 38%
38. Optimization Algorithm 19%
39. Phishing Detection 38%
40. Phishing Website 38%
41. Preprocessing 12%
42. Random Decision Forest 9%
43. Real Data Sets 9%
44. Recurrent Neural Network 9%
45. Research Direction 10%
46. Residual Neural Network 19%
47. Self-Attention 12%
48. Siamese Neural Network 25%
49. System Usability Scale 38%
50. Transform Domain 19%