Gleb Radchenko, PhD

Ingenieurwesen & Materialwissenschaft

1. Cloud computing 100%
2. Digital twin 91%
3. Redundancy 49%
4. Data storage equipment 47%
5. Distributed computer systems 46%
6. Fog computing 46%
7. Quality of service 43%
8. Virtual machine 42%
9. Cryptography 39%
10. Security of data 39%
11. Internet of things 35%
12. Decoding 32%
13. Containers 30%
14. Uncertainty 29%
15. Error correction 29%
16. Consolidation 27%
17. Scheduling 25%
18. Data streams 24%
19. mHealth 23%
20. Energy utilization 22%
21. Monitoring 20%
22. Computer aided engineering 20%
23. Big data 19%
24. Scheduling algorithms 18%
25. Availability 17%
26. Costs 16%
27. Virtualization 16%
28. Industry 16%
29. Medicine 15%
30. Machine learning 15%
31. Multiobjective optimization 15%
32. Medical problems 14%
33. Smart city 14%
34. Testing 13%
35. Liquid propellants 12%
36. e-Science 12%
37. Industrial internet of things (IIoT) 12%
38. Genetic algorithms 11%
39. Relocation 11%
40. Web services 10%
41. Edge computing 10%
42. Transfer learning 10%
43. Servers 10%
44. Blockchain 10%
45. Grid computing 10%
46. Industrial plants 10%
47. Data Sharing 10%
48. Supercomputers 10%
49. Rocket engines 10%
50. Logistic regression 9%