Engineering
Gas Pipeline
100%
Oil Pipeline
73%
Defect Length
61%
Artificial Neural Network
38%
Wireless Sensor Network
36%
Deep Learning Method
35%
Magnetic Flux
34%
Learning System
28%
Support Vector Machine
21%
Feature Extraction
20%
Hidden Layer
18%
Dimensionality
18%
Genetic Algorithm
18%
Convolutional Neural Network
18%
Network Model
18%
Load Forecasting
18%
Artificial Neural Network Model
18%
Regression Technique
18%
Gradient Descent
12%
Gaussians
12%
Artificial Intelligence
12%
Electric Power Utilization
12%
Root Mean Square Error
10%
Inspection Technology
9%
Pipeline Wall
9%
Weld
9%
Data Transfer
9%
Electrical Load
7%
Computervision
6%
Big Data
6%
Propagation Delay
6%
Region of Interest
6%
Collected Data
6%
Deep Layer
6%
Pipeline Inspection
6%
Machine Learning Algorithm
5%
Computer Science
Artificial Neural Network
21%
Optimization Algorithm
20%
Feature Selection
20%
Feature Extraction
20%
Generative Adversarial Networks
18%
Fraud Detection
18%
Genetic Algorithm
18%
Power Consumption
18%
Dimensionality Reduction
18%
Support Vector Machine
18%
Deep Learning Method
18%
Network Algorithm
18%
Network Security
18%
Metaheuristics
18%
Wireless Sensor Network
18%
Learning System
15%
Machine Learning
15%
Convolutional Neural Network
12%
Long Short-Term Memory Network
12%
Predictive Model
9%
Research Community
9%
Superior Performance
9%
Machine Learning Algorithm
9%
Training Dataset
9%
Collected Data
9%
Biggest Challenge
9%
Open Access
9%
Big Data
9%
Propagation Delay
9%
Synthetic Data
9%
Edge AI
9%
Deep Learning Model
9%
Artificial Intelligence of Things
9%
Electrical Load
7%
Mean Absolute Error
7%
Artificial Intelligence
6%
Gated Recurrent Unit
6%
k-Nearest Neighbors Algorithm
6%
Single Computer
6%
Imbalanced Data
6%
Interest Detection
6%
Real-Time Computing
6%
Processing Node
6%
