Justice Kwame Appati

Computer Science

1. Feature Extraction 100%
2. Deep Learning Method 77%
3. Prediction Accuracy 73%
4. Machine Learning 71%
5. Learning System 71%
6. Artificial Intelligence 71%
7. Support Vector Machine 68%
8. Facial Expression 67%
9. Facial Recognition 67%
10. Random Decision Forest 62%
11. Expression Recognition 60%
12. Genetic Algorithm 57%
13. Logistic Regression 55%
14. Gradient Boosting 54%
15. Convolutional Neural Network 50%
16. Feature Selection 48%
17. k-Nearest Neighbors Algorithm 47%
18. Internet-Of-Things 47%
19. Learning Approach 47%
20. Deep Neural Network 44%
21. Recognition Algorithm 40%
22. face recognition algorithm 40%
23. Recognition System 40%
24. Online Social Networks 40%
25. Minority Class 40%
26. feature descriptor 40%
27. Tumor Segmentation 40%
28. Mobilenet 40%
29. Comparative Evaluation 40%
30. Vision Transformer 40%
31. Machine Learning Algorithm 37%
32. Nave Bayes 33%
33. YOLO 33%
34. Deep Learning Technique 30%
35. Transformer Model 28%
36. Transfer Learning 27%
37. Lighting Condition 27%
38. Convolutional Layer 27%
39. Scale-Invariant Feature Transform 27%
40. Image Segmentation 27%
41. Graph Theory 23%
42. Medical Imaging 23%
43. Metaheuristics 23%
44. Computer Vision 23%
45. Network Intrusion Detection System 20%
46. Wireless Sensor Network 20%
47. Cellular System 20%
48. Fingerprint Recognition 20%
49. Testbed 20%
50. Clone Detection 20%