Ivor Spence

Computer Science

1. Application 100%
2. Deep Neural Network 80%
3. User 78%
4. Server 71%
5. Service 61%
6. Models 58%
7. Algorithms 57%
8. Case Study 56%
9. Accuracy 55%
10. Benchmark 52%
11. Federated Learning 52%
12. Architecture Description Language 51%
13. Design 44%
14. Programs 41%
15. Quality of Service 40%
16. Virtualizations 39%
17. Computing 39%
18. Software Architecture 32%
19. High-Performance Computing 31%
20. Workload 30%
21. Enterprise Architecture 30%
22. Related Performance 30%
23. Decision-Making 30%
24. Evaluation 30%
25. Architectural Style 29%
26. Edge Computing 29%
27. Business Performance 28%
28. Analytics 28%
29. Downtime 28%
30. Model-Driven Engineering 26%
31. Performance Analysis 26%
32. Hardware Platform 26%
33. Predictive Analytics 26%
34. Finite-Difference Time-Domain (FDTD) 26%
35. Internet of Things 26%
36. Graphics Processing Unit 26%
37. Electron Energy 23%
38. Decision Maker 21%
39. Multiobjective 21%
40. Decision Support System 21%
41. Relationships 20%
42. System Virtualization 19%
43. Cloud Application 19%
44. Scheduling Method 19%
45. Domains 18%
46. Container 17%
47. Cloud Migration 17%
48. Detection 17%
49. Instruction-Level Parallelism 17%
50. Research Frontier 17%