How artificial intelligence approaches matter in aviation industry?
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Artificial intelligence (AI) approaches are being increasingly applied in the aviation industry. These approaches have the potential to improve safety, efficiency, and decision-making processes. The International Civil Aviation Organization (ICAO) has defined new approaches for the application of AI models, such as collaborative decision making (CDM) models based on general flight information . The introduction of advanced AI technology can help solve major industry problems, such as high maintenance costs and environmental pollution . AI is also being used in pilot training through flight simulators, which provide cost-effective training opportunities . In terms of maintenance, AI technologies, such as convolutional neural networks, are being used for defect detection in aircraft, increasing accuracy and efficiency . Additionally, AI is being utilized in the investigation process of aviation accidents, allowing for faster determination of root causes . These AI approaches have the potential to revolutionize the aviation industry by optimizing operations, improving safety, and enhancing decision-making processes.
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| Papers (4) | Insight |
|---|---|
01 Jan 2023 | The paper discusses the implementation of artificial intelligence (AI) in aviation collegiate education, including its use in flight simulators and remote pilot-to-student education. However, it does not specifically mention how AI approaches matter in the aviation industry. |
| The provided paper discusses the use of artificial intelligence (AI) technology for defect detection in the aerospace industry, specifically in aviation. The AI approach is used to increase the accuracy and efficiency of ultrasonic inspection for detecting defects in composite laminates, with a focus on delamination. However, the paper does not provide specific information on how AI approaches matter in the aviation industry beyond defect detection. | |
| The paper discusses the use of artificial intelligence (AI) models in the aviation industry, specifically in the organization of collaborative decision making (CDM) by aviation specialists. It mentions the use of AI in decision making (DM) in the air navigation system (ANS) and the effectiveness of intelligent decision support systems (IDSS) in real flight, including emergencies. | |
| The paper discusses the application of artificial intelligence-based technologies in the aviation industry, focusing on solving problems such as high maintenance costs and environmental pollution. |
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