Results 351 to 360 of about 617,338 (368)

Aviation under the COVID-19 pandemic: A synopsis from normalcy to chaos and back

Journal of the Air Transport Research Society, 2023
Since the outbreak of the COVID-19 pandemic early in the year 2020, the aviation system has been under extreme pressure for more than two years, with many stakeholders anticipating the moment of recovery. In Summer 2022, eventually, many airlines reached
Xiaoqian Sun, S. Wandelt, A. Zhang
semanticscholar   +1 more source

BERT for Aviation Text Classification

AIAA AVIATION 2023 Forum, 2023
The advent of transformer-based models pre-trained on large-scale text corpora has rev-olutionized Natural Language Processing (NLP) in recent years. Models such as BERT (Bidirectional Encoder Representations from Transformers) offer powerful tools for ...
Xiao Jing   +5 more
semanticscholar   +1 more source

Aviation-BERT: A Preliminary Aviation-Specific Natural Language Model

AIAA AVIATION 2023 Forum, 2023
Data-driven methods form the frontier of reactive aviation safety analysis. While analysis of quantitative data from flight operations is common, text narratives of accidents and incidents have not been sufficiently mined.
Chetan Chandra   +6 more
semanticscholar   +1 more source

Data Processing through the Lifecycle of Aviation Radio Equipment

International Conference on Computer Science and Information Technologies, 2022
Aviation radio equipment reliability significantly effects on safety of flights in civil aviation. One of the ways to increase the efficiency of equipment intended use is usage of data processing techniques through the all stages of lifecycle.
O. Solomentsev   +7 more
semanticscholar   +1 more source

Model Building for Diagnostic Variables during Aviation Equipment Maintenance

International Conference on Computer Science and Information Technologies, 2022
Mathematical model building gives the possibility to recognize mathematical dependence for different parameters of actual phenomena. The model building in aviation plays a significant role, because it directly effects on safety of flights. Such procedure
M. Zaliskyi   +7 more
semanticscholar   +1 more source

Flight Delay Prediction Based on Aviation Big Data and Machine Learning

IEEE Transactions on Vehicular Technology, 2020
Accurate flight delay prediction is fundamental to establish the more efficient airline business. Recent studies have been focused on applying machine learning methods to predict the flight delay.
Guan Gui   +5 more
semanticscholar   +1 more source

Developing a High-Resolution Emission Inventory of China's Aviation Sector Using Real-World Flight Trajectory Data.

Environmental Science and Technology, 2022
Economic growth and globalization have led to a surge in civil aviation transportation demand. Among the major economies in the world, China has experienced a 12-fold increase in terms of total passenger aviation traffic volume since 2000 and is expected
Jingran Zhang   +5 more
semanticscholar   +1 more source

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