Research Article
Learning Air Traffic as Images: A Deep Convolutional Neural Network for Airspace Operation Complexity Evaluation
Table 1
List of the acronym used in the paper.
| Acronym | Definition |
| Acc | Accuracy | AdaBoost | Adaptive boosting | ATCOs/ATM | Air traffic controllers/air traffic management | BPNN | Backpropagation neural network | CK | Cohen’s kappa | CNN | Convolutional neural network | DL/ML | Deep/machine learning | FP/FN | False positive/false negative | GNB | Gaussian naïve Bayes | KNN | K-nearest neighbour | LLR | Logistic linear regression | MAE | Mean average error | MLP | Multilayer perception | MTSI | Multichannel traffic scenario images | PCA | Principal component analysis | RF | Random forest | RTPE/RTT | Run-time per-epoch/run-time test | SOC/SOCNN | Sector operation complexity/SOC evaluation using CNN | SVM | Support vector machine | TP/TN | True positive/true negative |
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