Mohammed Mesfer Aldawsari

Computer Science

1. Support Vector Machine 100%
2. Deep Convolutional Neural Networks 60%
3. Facial Expression 42%
4. Learning System 40%
5. Machine Learning 40%
6. Convolutional Neural Network 39%
7. Expression Recognition 36%
8. Natural Language Processing 34%
9. Bidirectional Encoder Representations From Transformers 30%
10. Future Direction 30%
11. Principal Component 30%
12. Component Analysis 30%
13. Network Support 30%
14. Language Processing 25%
15. Feature Extraction 25%
16. Processing Task 21%
17. Decision Tree 20%
18. Clinical Feature 20%
19. Machine Learning Algorithm 20%
20. Text Summarization 19%
21. Deep Feature 15%
22. Convey Information 15%
23. Conditional Random Field 15%
24. Art Performance 15%
25. Internal Structure 15%
26. Intermediate Level 15%
27. Residual Neural Network 15%
28. Text Classification 15%
29. Diagnostic System 15%
30. Feature Selection 15%
31. Hybrid Approach 15%
32. Model Benchmark 15%
33. Large Language Model 15%
34. Gamma Correction 11%
35. Face Detection 11%
36. Annotation 10%
37. Word2vec 10%
38. Proposed Mechanism 9%
39. Single Feature 9%
40. Logistic Regression 9%
41. Authorized User 9%
42. Cloud Computing 9%
43. Cloud Computing Service 9%
44. Internet of Things Device 9%
45. Future Development 9%
46. Deep Understanding 6%
47. Histogram Equalization 6%
48. Processing Algorithm 6%
49. Preprocessing Technique 6%
50. Transfer Learning 5%