E化製造研究中心

Engineering & Materials Science

1. Machining 100%
2. Predictive maintenance 74%
3. Machine tools 69%
4. Industry 55%
5. Semiconductor materials 51%
6. Inspection 48%
7. Industrial plants 47%
8. Industry 4.0 45%
9. Wheels 42%
10. Liquid crystal displays 38%
11. Automation 36%
12. Feature extraction 29%
13. Thin film transistors 21%
14. Systems analysis 18%
15. Sensors 18%
16. Digital twin 18%
17. Servers 17%
18. Big data 15%
19. Monitoring 15%
20. Neural networks 14%
21. Electric discharge machining 14%
22. Intelligent systems 14%
23. Solar cells 14%
24. Wear of materials 13%
25. Genetic algorithms 13%
26. Testing 11%
27. Multiobjective optimization 11%
28. Containers 11%
29. Defects 11%
30. Time series 10%
31. Data acquisition 10%
32. Cleaning 10%
33. Aerospace industry 10%
34. Power plants 10%
35. Fusion reactions 10%
36. Sampling 8%
37. Engines 8%
38. Glass 8%
39. Cyber Physical System 8%
40. Sorting 7%
41. Communication 7%
42. Internet of things 7%
43. Electric sparks 7%
44. Bottles 7%
45. Controllers 7%
46. Failure modes 7%
47. Failure analysis 7%
48. Chemical industry 7%
49. Control systems 6%
50. Digital to analog conversion 6%
51. Thermal effects 6%
52. Strain gages 6%
53. Signal to noise ratio 6%
54. Automotive industry 6%
55. Chemical vapor deposition 5%
56. Cloud computing 5%
57. Process control 5%
58. Artificial intelligence 5%
59. Carbon 5%
60. Data Analytics 5%

Mathematics

1. Metrology 80%
2. Machining 74%
3. Manufacturing 50%
4. Industry 45%
5. Wheel 41%
6. Automation 27%
7. Mass Customization 24%
8. Semiconductors 21%
9. Time Series Prediction 19%
10. Feature Extraction 18%
11. Maintenance 17%
12. Engine 17%
13. Thing 16%
14. Balancing 14%
15. Fusion 13%
16. Internet of Things 13%
17. Machine Tool 9%
18. Defects 9%
19. Cloud Computing 9%
20. Customization 8%
21. Life 8%
22. Prediction 7%
23. Model 6%
24. Convert 5%
25. Server 5%
26. Semiconductor Manufacturing 5%
27. Taiwan 5%