5G meets II/Ylä-Jääski

Computer Science

1. Fog Computing 100%
2. Service 85%
3. Real World 50%
4. Object Recognition 45%
5. Computing Resource 35%
6. Computer Vision 28%
7. Markov Decision Process 28%
8. Dash 28%
9. Application 28%
10. Convolutional Neural Network 28%
11. Computational Task 28%
12. Availability 28%
13. Throughput 28%
14. Capacity Planning 28%
15. Networks 28%
16. Edge Computing 28%
17. Time Analytics 28%
18. Quality of Service 28%
19. Video Streaming 21%
20. Situational Awareness 21%
21. Vehicular Application 21%
22. Intensive Task 21%
23. Optimization Problem 21%
24. Mixed-Integer Linear Programming 14%
25. Forwarding 14%
26. Communication Resource 14%
27. Communication Range 14%
28. Innovations 14%
29. Computing Device 14%
30. Vehicular Network 14%
31. Scene Understanding 14%
32. Networking 14%
33. Access Technology 14%
34. Convolutional Neural Network 9%
35. Hardware Platform 9%
36. Speed-up 9%
37. Systems Performance 9%
38. Computation 9%
39. Vision Systems 9%
40. Server 9%
41. Object Detection 9%
42. Parallelism 9%
43. Public Cloud 9%
44. Workload 9%
45. Software Frameworks 9%
46. Network Latency 9%
47. Sensitive Application 9%
48. Mobile Device 9%
49. Layer Capacity 9%
50. Models 9%
51. Case Study 9%
52. Virtual Reality 9%
53. Performance Characteristic 9%
54. Online Service 9%
55. Information Systems 9%
56. Network Resource 9%
57. Resource Demand 9%
58. Augmented Reality 9%
59. Polynomial Time 7%
60. System Analysis 7%
61. Minimization Problem 7%
62. Optimization 7%
63. Simulation 7%
64. Particle Swarm Optimization 7%
65. Linear Programming 7%
66. Triggered Event 7%