Belhassen Abdelmajid AKROUT

Computer Science

1. Drowsiness Detection 100%
2. Deep Learning Method 63%
3. Convolutional Neural Network 54%
4. Learning Approach 51%
5. Nonlinear Signal 50%
6. Iris Recognition 50%
7. Pose Estimation 41%
8. Temporal Feature 33%
9. Points of Interest 33%
10. Transfer Learning 30%
11. empirical mode decomposition 29%
12. Image Segmentation 27%
13. Video Sequences 25%
14. Rotation Angle 25%
15. ResNet50 22%
16. Computer Vision 20%
17. Feature Extraction 20%
18. Multimedia Document 16%
19. Facial Emotion Recognition 16%
20. Biometrics 16%
21. Facial Feature 16%
22. Deep Convolutional Neural Networks 16%
23. Hamming Distance 16%
24. Neural Network Architecture 16%
25. U-Net 16%
26. Decision Tree 16%
27. DenseNet 16%
28. Learning System 16%
29. Machine Learning 16%
30. State Concentration 16%
31. Bayesian Network Model 16%
32. Dynamic Bayesian Network 16%
33. Support Vector Machine 16%
34. Intermediate State 16%
35. Big Data 13%
36. Support Vector Machine 12%
37. Authentication 12%
38. Visual Appearance 12%
39. Recognition System 11%
40. Facial Expression 11%
41. Visual Characteristic 8%
42. Satisfaction Rate 8%
43. And-States 8%
44. Measurement Method 8%
45. Structure Element 8%
46. Color Histogram 8%
47. Computing Power 8%
48. Execution Time 8%
49. Image Search 8%
50. Biometric Identification 8%