Physics & Astronomy
learning
100%
performance
50%
distillation
50%
education
40%
nonlinearity
39%
students
30%
Q factors
30%
regression analysis
27%
instructors
26%
augmentation
24%
inference
22%
bit error rate
22%
fibers
19%
self organizing systems
17%
convolution integrals
17%
telecommunication
16%
optical communication
15%
impairment
8%
degradation
7%
engineers
6%
format
6%
signal processing
6%
time measurement
5%
engineering
5%
Engineering & Materials Science
Equalizers
58%
Light transmission
52%
Optical systems
46%
Supervised learning
43%
Fiber optic networks
42%
Neural networks
41%
Deep neural networks
39%
Entropy
34%
Compensation and Redress
31%
Planning
25%
Optical communication
23%
Signal to noise ratio
22%
Bit error rate
18%
Communication systems
16%
Information theory
15%
Physical layer
13%
Multiobjective optimization
12%
Resource allocation
11%
Machine learning
9%
Genetic algorithms
9%
Bandwidth
8%
Digital signal processing
6%