[HTML][HTML] Artificial intelligence as a driver of efficiency in air passenger transport: A systematic literature review and future research avenues
Despite the claim that artificial intelligence (AI) has the potential to increase efficiency in and
for airlines, current literature is limited concerning models and frameworks to assess AI …
for airlines, current literature is limited concerning models and frameworks to assess AI …
[HTML][HTML] A novel method for ship carbon emissions prediction under the influence of emergency events
Accurate prediction of ship emissions aids to ensure maritime sustainability but encounters
challenges, such as the absence of high-precision and high-resolution databases, complex …
challenges, such as the absence of high-precision and high-resolution databases, complex …
Towards efficient airline disruption recovery with reinforcement learning
Disruptions to airline schedules precipitate flight delays/cancellations and significant losses
for airline operations. The goal of the integrated airline recovery problem is to develop an …
for airline operations. The goal of the integrated airline recovery problem is to develop an …
Predictive classification and understanding of weather impact on airport performance through machine learning
Efficient airport operations depend on appropriate actions and reactions to current
constraints. Local weather events and their impact on airport performance may have network …
constraints. Local weather events and their impact on airport performance may have network …
Ready for digital transformation? The effect of organisational readiness, innovation, airport size and ownership on digital change at airports
This study investigates the effect of organisational readiness, innovation and airport size and
ownership on digital change at airports. Data is collected from a survey of managers at 94 …
ownership on digital change at airports. Data is collected from a survey of managers at 94 …
Data science and analytics in aviation
Data science and analytics are attracting more and more attention from researchers and
practitioners in recent years. Due to the rapid development of advanced technologies …
practitioners in recent years. Due to the rapid development of advanced technologies …
Data-driven airport management enabled by operational milestones derived from ADS-B messages
Standardized, collaborative decision-making processes have already been implemented at
some network-relevant airports, and these can be further enhanced through data-driven …
some network-relevant airports, and these can be further enhanced through data-driven …
Using causal machine learning for predicting the risk of flight delays in air transportation
D Truong - Journal of Air Transport Management, 2021 - Elsevier
Delays in air transportation are a major concern that has negative impacts on the airline
industry and the economy. Given the complexity of the National Air Space system, predicting …
industry and the economy. Given the complexity of the National Air Space system, predicting …
A decision tree model for the prediction of the stay time of ships in Brazilian ports
LR Abreu, ISF Maciel, JS Alves, LC Braga… - … Applications of Artificial …, 2023 - Elsevier
Maritime transport is an alternative modal logistic in transporting cargo for long distances
and in large quantities. However, the logistical planning for this modal becomes costly due …
and in large quantities. However, the logistical planning for this modal becomes costly due …
Psychosocial factors predict the level of substance craving of people with drug addiction: A machine learning approach
H Gong, C **e, C Yu, N Sun, H Lu, Y **e - International journal of …, 2021 - mdpi.com
This study aimed to explore which factors had a greater impact on substance craving in
people with substance use and the direction of the impact. A total of 895 male substance …
people with substance use and the direction of the impact. A total of 895 male substance …