Accurate flight delay prediction is fundamental to establish the more efficient airline
business. Recent studies have been focused on applying machine learning methods to …

Flight delay prediction has become one of the most critical topics in intelligent aviation
systems due to its essential role in flight scheduling, airline planning, and airport operation …

This study analyzes high-dimensional data from Beijing International Airport and presents a
practical flight delay prediction model. Following a multifactor approach, a novel deep belief …

Flight delays hurt airlines, airports, and passengers. Their prediction is crucial during the
decision-making process for all players of commercial aviation. Moreover, the development …

The importance of robust flight delay prediction has recently increased in the air
transportation industry. This industry seeks alternative methods and technologies for more …

In the present scenario of domestic flights in USA, there have been numerous instances of
flight delays and cancellations. In the United States, the American Airlines, Inc. have been …

In this paper, we propose a novel prediction framework (ST-Random Forest) for flight delay
prediction from temporal and spatial perspective. We first apply complex network theory to …

Flight delay is the most common preoccupation of aviation stakeholders around the world.
Airlines, which suffer from a monetary and customer loyalty loss, are the most affected …

Flight delay is inevitable and it plays an important role in both profits and loss of the airlines.
An accurate estimation of flight delay is critical for airlines because the results can be …

Flight delays may propagate through the entire aviation network and are becoming an
important research topic. This paper proposes a novel hierarchical integrated machine …