Keyword | CPC | PCC | Volume | Score | Length of keyword |
---|---|---|---|---|---|
super resolution neural operator | 0.17 | 0.2 | 9980 | 72 | 32 |
super | 1.2 | 1 | 2959 | 24 | 5 |
resolution | 1.23 | 0.2 | 9737 | 15 | 10 |
neural | 1.16 | 0.1 | 5691 | 44 | 6 |
operator | 0.26 | 0.5 | 1194 | 92 | 8 |
Keyword | CPC | PCC | Volume | Score |
---|---|---|---|---|
super resolution neural operator | 0.75 | 1 | 7358 | 77 |
super resolution neural network | 0.25 | 0.3 | 1410 | 57 |
neural volume super resolution | 1.26 | 0.9 | 4302 | 40 |
super resolution convolutional neural network | 1.67 | 0.7 | 6006 | 84 |
audio super resolution using neural networks | 0.64 | 0.1 | 9477 | 78 |
super resolution implicit neural | 0.01 | 0.8 | 6170 | 61 |
super resolution loss function | 1.85 | 0.1 | 1136 | 51 |
what is super resolution | 0.63 | 0.2 | 7172 | 24 |
audio super-resolution using neural nets | 1.48 | 0.5 | 5086 | 56 |
super resolution optical microscopy | 1.8 | 1 | 2757 | 40 |
super-resolution network | 0.16 | 0.9 | 418 | 34 |
super resolution object detection | 1.46 | 1 | 5431 | 57 |
hyperspectral super-resolution | 1.76 | 0.4 | 3784 | 11 |
spectral super-resolution | 1.2 | 0.2 | 9712 | 56 |
super-resolution sr | 0.95 | 0.6 | 1062 | 76 |
super-resolution model | 1.91 | 0.2 | 6855 | 70 |
super-resolution algorithm | 0.37 | 1 | 714 | 56 |