Engineering & Materials Science
Deep learning
100%
Machine learning
65%
Convolutional neural networks
52%
Supervised learning
44%
Deep neural networks
41%
Medical problems
39%
Data Sharing
38%
Neutron detectors
34%
Gas turbines
33%
Recurrent neural networks
28%
Nuclear reactors
27%
Packaging
27%
Neural networks
26%
Neutron flux
24%
Monitoring
24%
Anomaly detection
23%
Neutrons
23%
Learning systems
23%
Fractal dimension
22%
Reactor cores
22%
Long short-term memory
22%
Network architecture
21%
Semantics
20%
Labels
19%
Biomarkers
19%
Cryptography
18%
Supply chains
18%
System theory
17%
Transfer functions
16%
Time series
15%
Quality control
14%
Random forests
14%
Neurons
12%
Hemodynamics
12%
Uncertainty
11%
Ophthalmology
11%
Pixels
11%
Experiments
10%
Detectors
10%
Logistic regression
10%
Mammography
9%
Feature extraction
9%
Bifurcation (mathematics)
9%
Learning algorithms
9%
Computer aided diagnosis
9%
Data storage equipment
9%
Geometry
9%
Network routing
9%
Transfer learning
9%
Health risks
8%
Medicine & Life Sciences
Diabetic Retinopathy
56%
Retinal Vessels
38%
Deep Learning
21%
Food
18%
Blindness
15%
Fragaria
11%
Food Technology
11%
Hemodynamics
11%
Information Dissemination
11%
Retina
10%
Technology
10%
Blood Vessels
9%
Retinal Vein
8%
Eye
8%
Retinal Artery
7%
Privacy
7%
Food Safety
7%
Biomarkers
6%
Ocular Vision
6%
X-Rays
5%
Thorax
5%
Earth & Environmental Sciences
food
25%
machine learning
20%
learning
18%
forecasting
11%
food supply
11%
tortuosity
9%
crater
7%
data exchange
5%
safety
5%
sensor
5%
