Statistics and machine learning in aviation environmental impact analysis: A survey of recent progress
The rapid growth of global aviation operations has made its negative environmental impact
an international concern. Accurate modeling of aircraft fuel burn, emissions, and noise is the …
an international concern. Accurate modeling of aircraft fuel burn, emissions, and noise is the …
Artificial Intelligence in Aviation Safety: Systematic Review and Biometric Analysis
This study aims to offer aviation safety researchers, practitioners, and decision-makers a
comprehensive exploration of integrating advanced technologies, such as artificial …
comprehensive exploration of integrating advanced technologies, such as artificial …
Prediction of wind shear layer for dynamic soaring by using proper orthogonal decomposition and long short term memory network
D Wang, F **e, T Ji, X Zhang, Y Lu, Y Zheng - Physics of Fluids, 2023 - pubs.aip.org
The wind shear layer is a naturally formed airflow that enables the albatross to soar for six
days at almost no cost. The modeling and prediction of the wind shear layer can be very …
days at almost no cost. The modeling and prediction of the wind shear layer can be very …
[HTML][HTML] Flight data clustering for offline evaluation of real-time trajectory optimization framework
Abstract Real-time Trajectory Optimization (RTOP) is a machine learning-based flight path
optimization framework that automatically performs in-flight re-planning continuously with …
optimization framework that automatically performs in-flight re-planning continuously with …
[HTML][HTML] The next-generation electronic health record in the ICU: A focus on user-technology interface to optimize patient safety and quality
L Jalilian, S Khairat - Perspectives in Health Information …, 2022 - ncbi.nlm.nih.gov
As a knowledge-based field of medicine, critical care medicine has benefited from the use of
the electronic health records (EHRs) in daily practice, as intensive care unit (ICU) patients …
the electronic health records (EHRs) in daily practice, as intensive care unit (ICU) patients …
[HTML][HTML] Challenges and Prospects of Artificial Intelligence in Aviation: Bibliometric Study
The primary motivation for this study is the recent growth and increased interest in artificial
intelligence (AI). Despite the widespread recognition of its critical importance, a discernible …
intelligence (AI). Despite the widespread recognition of its critical importance, a discernible …
Smart urban traffic management system using energy efficient optimized path discovery
The increased traffic on the roads is a direct outcome of growing urban populations.
Congestion on the roads is a result of the road infrastructure's incapacity to manage traffic …
Congestion on the roads is a result of the road infrastructure's incapacity to manage traffic …
Subnetwork prediction approach for aircraft schedule recovery
The combinatorial optimization techniques for the aircraft schedule recovery problem are too
expensive to compute. However, we require a reasonable solution within 1–2 min for real …
expensive to compute. However, we require a reasonable solution within 1–2 min for real …
Optimal abort guidance and experimental verification based on feature learning
The abort mission refers to the mission where the landing vehicle needs to terminate the
landing mission when an anomaly happens and be safely guided to the desired orbit. This …
landing mission when an anomaly happens and be safely guided to the desired orbit. This …
Data-driven approach toward airspace design for regional air mobility operations in korea
As the Korean government agencies have recently announced the first official road map for
urban air mobility (UAM) with the aim of introducing a new aviation transportation system …
urban air mobility (UAM) with the aim of introducing a new aviation transportation system …