“…DL architectures such as deep neural networks (DNNs), convolutional neural networks (CNNs), or RNNs have been used in many scientific fields to improve automation and perform analytical and physical tasks. These include brain tumor detection [18], weather forecasts [19], earthquake signal classification [20], modeling magnetic signature of spacecraft equipment using multiple magnetic dipoles [21], traffic flow prediction [22], electricity price forecasting [23], or generally for weak signal detection [24], to name a few. In aviation, research such as the big data platform of ATM [25], air traffic controllers workload forecasting method based on NNs [26], resilient communication network of ATM systems [27], aviation delay estimation using DL [28], collaborative security management [29], research status of ANNs and its application assumption in aviation [30], human-human collaboration to guide human-computer interaction design in ATC [31], design of integrated air/ground automation [32], or safety and human error in automated air traffic control [33] reflects great potential of automation to solve complex problems.…”