Belhassen Abdelmajid AKROUT

Computer Science

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