[HTML][HTML] A survey on artificial intelligence (ai) and explainable ai in air traffic management: Current trends and development with future research trajectory

A Degas, MR Islam, C Hurter, S Barua, H Rahman… - Applied Sciences, 2022 - mdpi.com
Air Traffic Management (ATM) will be more complex in the coming decades due to the
growth and increased complexity of aviation and has to be improved in order to maintain …

[HTML][HTML] Explanation of machine-learning solutions in air-traffic management

Y Xie, N Pongsakornsathien, A Gardi, R Sabatini - Aerospace, 2021 - mdpi.com
Advances in the trusted autonomy of air-traffic management (ATM) systems are currently
being pursued to cope with the predicted growth in air-traffic densities in all classes of …

[HTML][HTML] Applications of artificial intelligence in transport: An overview

R Abduljabbar, H Dia, S Liyanage, SA Bagloee - Sustainability, 2019 - mdpi.com
The rapid pace of developments in Artificial Intelligence (AI) is providing unprecedented
opportunities to enhance the performance of different industries and businesses, including …

[HTML][HTML] Machine learning and cognitive ergonomics in air traffic management: Recent developments and considerations for certification

T Kistan, A Gardi, R Sabatini - Aerospace, 2018 - mdpi.com
Resurgent interest in artificial intelligence (AI) techniques focused research attention on their
application in aviation systems including air traffic management (ATM), air traffic flow …

A methodological and theoretical framework for implementing explainable artificial intelligence (XAI) in business applications

D Tchuente, J Lonlac, B Kamsu-Foguem - Computers in Industry, 2024 - Elsevier
Artificial Intelligence (AI) is becoming fundamental in almost all activity sectors in our society.
However, most of the modern AI techniques (eg, Machine Learning–ML) have a black box …

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

AB Arrieta, N Díaz-Rodríguez, J Del Ser, A Bennetot… - Information fusion, 2020 - Elsevier
In the last few years, Artificial Intelligence (AI) has achieved a notable momentum that, if
harnessed appropriately, may deliver the best of expectations over many application sectors …

[HTML][HTML] Assessing whether artificial intelligence is an enabler or an inhibitor of sustainability at indicator level

S Gupta, SD Langhans, S Domisch… - Transportation …, 2021 - Elsevier
Since the early phase of the artificial-intelligence (AI) era expectations towards AI are high,
with experts believing that AI paves the way for managing and handling various global …

[HTML][HTML] A systematic review of artificial intelligence impact assessments

BC Stahl, J Antoniou, N Bhalla, L Brooks… - Artificial Intelligence …, 2023 - Springer
Artificial intelligence (AI) is producing highly beneficial impacts in many domains, from
transport to healthcare, from energy distribution to marketing, but it also raises concerns …

[HTML][HTML] A systematic review of Explainable Artificial Intelligence models and applications: Recent developments and future trends

A Saranya, R Subhashini - Decision analytics journal, 2023 - Elsevier
Artificial Intelligence (AI) uses systems and machines to simulate human intelligence and
solve common real-world problems. Machine learning and deep learning are Artificial …

[HTML][HTML] A systematic review of explainable artificial intelligence in terms of different application domains and tasks

MR Islam, MU Ahmed, S Barua, S Begum - Applied Sciences, 2022 - mdpi.com
Artificial intelligence (AI) and machine learning (ML) have recently been radically improved
and are now being employed in almost every application domain to develop automated or …