CEAMA Cognitive Engine for Assembly and Maintenance Automation

Engineering & Materials Science

1. Deep learning 100%
2. Redundancy 75%
3. Fusion reactions 71%
4. Deep neural networks 65%
5. Classifiers 63%
6. Data storage equipment 54%
7. Video cameras 48%
8. Sensors 41%
9. Neural networks 40%
10. Energy utilization 31%
11. Wearable sensors 27%
12. Edge computing 27%
13. Labeled data 26%
14. Computer hardware 26%
15. Units of measurement 25%
16. Wearable technology 25%
17. Error detection 24%
18. Error correction 23%
19. Recurrent neural networks 23%
20. Video recording 22%
21. Health care 22%
22. Sports 22%
23. Smart sensors 22%
24. Optical flows 19%
25. Global positioning system 19%
26. Labels 19%
27. Education 18%
28. Computer vision 18%
29. Heterogeneous networks 18%
30. Electric fuses 18%
31. Navigation 17%
32. Pipelines 17%
33. Machine learning 16%
34. Sampling 15%
35. Color 12%
36. Testing 11%
37. Experiments 6%