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Refinado por: assunto: Military Aircraft remover
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1
An Attentive Blank Stare Under Simulator-induced Spatial Disorientation Events
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An Attentive Blank Stare Under Simulator-induced Spatial Disorientation Events

Fudali-Czyż, Agnieszka ; Lewkowicz, Rafał ; Francuz, Piotr ; Stróżak, Paweł ; Augustynowicz, Paweł ; Truszczyński, Olaf ; Bałaj, Bibianna

Human factors, 2024-02, Vol.66 (2), p.317-335 [Periódico revisado por pares]

Los Angeles, CA: SAGE Publications

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2
Aeroecology meets aviation safety: early warning systems in Europe and the Middle East prevent collisions between birds and aircraft
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Aeroecology meets aviation safety: early warning systems in Europe and the Middle East prevent collisions between birds and aircraft

van Gasteren, Hans ; Krijgsveld, Karen L. ; Klauke, Nadine ; Leshem, Yossi ; Metz, Isabel C. ; Skakuj, Michal ; Sorbi, Serge ; Schekler, Inbal ; Shamoun‐Baranes, Judy

Ecography (Copenhagen), 2019-05, Vol.42 (5), p.899-911 [Periódico revisado por pares]

Oxford, UK: Blackwell Publishing Ltd

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3
Quantification of avian hazards to military aircraft and implications for wildlife management
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Quantification of avian hazards to military aircraft and implications for wildlife management

Pfeiffer, Morgan B ; Blackwell, Bradley F ; DeVault, Travis L Bartos, Ludek

PloS one, 2018-11, Vol.13 (11), p.e0206599-e0206599 [Periódico revisado por pares]

United States: Public Library of Science

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4
Practical Aspects of Frequency-Domain Approaches for Aircraft System Identification
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Practical Aspects of Frequency-Domain Approaches for Aircraft System Identification

Morelli, Eugene A ; Grauer, Jared A

Journal of aircraft, 2020-03, Vol.57 (2), p.268-291 [Periódico revisado por pares]

Virginia: American Institute of Aeronautics and Astronautics

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5
Using Neural Networks to predict HFACS unsafe acts from the pre-conditions of unsafe acts
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Using Neural Networks to predict HFACS unsafe acts from the pre-conditions of unsafe acts

Harris, Don ; Li, Wen-Chin

Ergonomics, 2019-02, Vol.62 (2), p.181-191 [Periódico revisado por pares]

England: Taylor & Francis

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6
Benchmarking aircraft maintenance performances using data envelopment analysis
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Benchmarking aircraft maintenance performances using data envelopment analysis

O'Neal, Thomas ; Min, Hokey ; Cherobini, Daniel ; Joo, Seong-Jong

The International journal of quality & reliability management, 2021-05, Vol.38 (6), p.1328-1341 [Periódico revisado por pares]

Bradford: Emerald Publishing Limited

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7
Single-pilot airline operations: Designing the aircraft may be the easy part
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Single-pilot airline operations: Designing the aircraft may be the easy part

Harris, D.

Aeronautical journal, 2023-07, Vol.127 (1313), p.1171-1191 [Periódico revisado por pares]

Cambridge, UK: Cambridge University Press

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8
Nonlinear Unsteady Aerodynamic Modeling Using Wind-Tunnel and Computational Data
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Nonlinear Unsteady Aerodynamic Modeling Using Wind-Tunnel and Computational Data

Murphy, Patrick C ; Klein, Vladislav ; Frink, Neal T

Journal of aircraft, 2017-03, Vol.54 (2), p.659-683 [Periódico revisado por pares]

Virginia: American Institute of Aeronautics and Astronautics

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9
Consideration of various aspects in a drift study of MH370 debris
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Consideration of various aspects in a drift study of MH370 debris

Nesterov, Oleksandr

Ocean science, 2018-06, Vol.14 (3), p.387-402 [Periódico revisado por pares]

Katlenburg-Lindau: Copernicus GmbH

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10
Artificial Intelligence Approach in Aerospace for Error Mitigation
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Artificial Intelligence Approach in Aerospace for Error Mitigation

Bautista-Hernández, Jorge ; Martín-Prats, María Ángeles

Aerospace, 2024-04, Vol.11 (4), p.300 [Periódico revisado por pares]

Basel: MDPI AG

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