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Aircraft Turnaround Manager (ATM): A Solution to Airport Operations
The set of activities performed during the preparation of an inbound aircraft for the succeeding outbound flight, which are planned for the same...
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A rare failure detection model for aircraft predictive maintenance using a deep hybrid learning approach
The use of aircraft operation logs to develop a data-driven model to predict probable failures that could cause interruption poses many challenges...
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A Cyber Physical System (CPS) Enabled Approach for Aircraft Overhaul Shop-Floor Based on Real-Time Smart Data Analyzing
Typical challenges that aircraft overhaul enterprises faced are the lack of timely, accurate information of operation and inter-operation in...
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Robust Multi-Objective Gate Scheduling at Hub Airports Considering Flight Delays: A Hybrid Metaheuristic Approach
Regarding the large number of flights that a hub airport usually has to serve and the competitiveness in the aviation industry, optimal scheduling of...
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Reference Architecture for Commercial Avionics Software
Avionics are the electronic systems used onboard aircraft to perform a broad range of functions, such as communication, navigation, and flight...
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A Probability Estimation of Aircraft Departures and Arrivals Delays
Delays in air transport systems have a significant impact on the safety of aviation. We propose to use a trajectory of airplanes to estimate time of...
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Research on the Cabin Evaluation Index System for Future Passenger Flight Experience
The cabin of a civil aircraft is the main place for passenger activities, an important place and interface for interaction between passengers and the...
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Enhancing the Management of Traffic Sequence Following Departure Trajectories
Nowadays, several busy airports have an issue in sequencing departure aircrafts while respecting the prescribed defined minima by the international...
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An Analysis and Review of Maintenance-Related Commercial Aviation Accidents and Incidents
Maintenance issues in commercial aviation are one of the major causes of flight delays and cancellations. Presently, there is a gap in our knowledge...
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A deep learning-based approach for predicting in-flight estimated time of arrival
Predictability is key for efficient and safe air traffic management. In particular, accurately estimating time of arrival for current passenger...
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Short-term multi-step-ahead sector-based traffic flow prediction based on the attention-enhanced graph convolutional LSTM network (AGC-LSTM)
Accurate sector-based air traffic flow predictions are essential for ensuring the safety and efficiency of the air traffic management (ATM) system....
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A Model to Predict Span Time and Effort for Product Development Processes
Companies are continuously trying to deliver products on time. However, traditional tools such as product lifecycle management, critical path method,...
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Taking on New Challenges
The penetration of digital computing into corporate activities has been underway since the 1960s. However, the explosive deep learning boom since...
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Supporting Computer Domains
The increase in computational capabilities affects the simulation domain. This chapter of the SCS M&S Body of Knowledge looks in the state of the art...
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Las-yolo: a lightweight detection method based on YOLOv7 for small objects in airport surveillance
The civil aviation transportation has sustained rapid growth, which poses significant challenges in ensuring airport safety and efficiency of use....
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Surrogate Modeling of Agent-Based Airport Terminal Operations
The airport terminals are complex sociotechnical systems, which are difficult to understand and their behavior is hard to predict. Hence, an...
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Engineering applications and technical challenges of active array microsystems
In the post-Moore era, the development of active phased array antennas will inevitably trend towards active array microsystems. In this paper, the...
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Smart Port and System Simulation/Emulation
In the known world of mankind, from the vast universe to the microscopic world inside an atom, all can be described with systems.
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Social ski driver conditional autoregressive-based deep learning classifier for flight delay prediction
The importance of robust flight delay prediction has recently increased in the air transportation industry. This industry seeks alternative methods...
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The Role of Metadata in Data Asset Management in Civil Aviation Information Field
Under the impetus of new-generation information technologies such as big data, artificial intelligence and the industrial internet, the world is...