Engineering & Materials Science
Deep learning
100%
Electric power systems
94%
Learning algorithms
92%
Monitoring
62%
Artificial intelligence
37%
Data streams
34%
Machine learning
18%
Anomaly detection
17%
Outages
15%
Butterworth filters
12%
Predictive analytics
11%
Set theory
11%
Watches
10%
Time series analysis
10%
Informatics
10%
Long short-term memory
10%
Costs
9%
Feedforward neural networks
9%
Turbogenerators
9%
Data Analytics
9%
Large dataset
9%
Electronic data interchange
9%
Sensors
8%
Cost reduction
8%
Graphical user interfaces
8%
Systems engineering
8%
Software packages
8%
Standardization
8%
Principal component analysis
8%
Profitability
7%
Power generation
7%
Silicon
6%
Pumps
6%
Students
6%
Wear of materials
6%
Sampling
6%
Engineers
6%
Uncertainty
5%