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A Survey on Reinforcement Learning in Aviation Applications [PDF]
Engineering Applications of Artificial Intelligence Volume 136,
Part A Engineering Applications of Artificial Intelligence, Vol 136, October
2024, 108911, 2022 Compared with model-based control and optimization methods, reinforcement learning (RL) provides a data-driven, learning-based framework to formulate and solve sequential decision-making problems. The RL framework has become promising due to largely improved data availability and computing power in the aviation industry.
Pouria Razzaghi +8 more
arxiv +3 more sources
Exploring the Political Discursive Lock-Ins on Sustainable Aviation in Sweden
Energies, 2021 This article analyses the political discourse about governing the future of the aviation industry in Sweden and how a polarized and entrenched discursive path dependency around aviation makes it difficult to invest into aviation’s possible futures as a ...
Aneta Kulanovic, Johan Nordensvärd
doaj +1 more source
Experimental research of partial regular microreliefs formed on rotary body face surfaces
Aviation, 2021 The basic regularities in the influence of processing parameters on the geometrical characteristics of the partially regular microreliefs, formed on the rotary body face surface, are established.
Volodymyr Dzyura +4 more
doaj +1 more source
Safety Management Systems in Aviation
, 2023 Contents: Foreword Preface Prologue - Quest Airlines Introduction to SMS History and evolution of safety Principles of quality management Hazards Risks Controls Taxonomies Process-based safety risk management/safety assurance Managing the SMS Tools and ...
A. Stolzer, C. Halford, J. Goglia
semanticscholar +1 more source
How to make climate-neutral aviation fly
Nature Communications, 2023 The European aviation sector must substantially reduce climate impacts to reach net-zero goals. This reduction, however, must not be limited to flight CO2 emissions since such a narrow focus leaves up to 80% of climate impacts unaccounted for.
R. Sacchi +6 more
semanticscholar +1 more source
Recent Advances on Alternative Aviation Fuels/Pathways: A Critical Review
Energies, 2023 The Paris Agreement’s objectives related to climate change put aviation under great pressure and environmental inspection. In particular, the aviation industry is committed to achieving a 50% reduction in CO2 emissions by 2050 compared to 2005 levels.
N. Detsios +5 more
semanticscholar +1 more source
Artificial Intelligence in Aviation: New Professionals for New Technologies
Applied Sciences, 2023 Major aviation organizations have highlighted the need to adopt artificial intelligence (AI) to transform operations and improve efficiency and safety. However, the aviation industry requires qualified graduates with relevant AI competencies to meet this
I. Kabashkin +2 more
semanticscholar +1 more source
Implications of preferential access to land and clean energy for sustainable aviation fuels.
Science of the Total Environment, 2023 Aviation is highly dependent on liquid fossil fuel, and the production of 'sustainable aviation fuels' (SAF) is being proposed as a solution to removing the fossil carbon component, especially for long-haul flights.
S. Becken, B. Mackey, David S. Lee
semanticscholar +1 more source
Aerospace, 2023 Advanced digital data-driven applications have evolved and significantly impacted the transportation sector in recent years. This systematic review examines natural language processing (NLP) approaches applied to aviation safety-related domains.
Chuyang Yang, Chenyu Huang
semanticscholar +1 more source
Simulated pilot-in-the-loop testing of handling qualities of the flexible wing aircraft
Aviation, 2020 This article aims to indicate the differences between rigid and flexible wing aircraft flying (FQ) and handling (HQ) qualities. The Simulation Framework for Flexible Aircraft was used to provide a generic cockpit environment and a piloted mathematical ...
Vilius Portapas, Alastair Cooke
doaj +1 more source