FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4366991679> ?p ?o ?g. }

• W4366991679 endingPage "394" @default.
• W4366991679 startingPage "394" @default.
• W4366991679 abstract "With the rapid growth of the aviation industry, there is a need for a large number of flight crew. How to select suitable prospective pilots in a cost-efficient manner has become an important research question. In the current study, 23 pilots were recruited from China Eastern Airlines, and 23 novices were from the community of Tsinghua University. A novel approach incorporating machine learning and virtual reality technology was applied to distinguish features between these participants with different flight skills. Results indicate that SVM with the MIC feature selection method consistently achieved the highest prediction performance on all metrics with an accuracy of 0.93, an AUC of 0.96, and an F1 of 0.93, which outperforms four other classifier algorithms and two other feature selection methods. From the perspective of feature selection methods, the MIC method can select features with a nonlinear relationship to sampling labels instead of a simple filter-out. Our new implementation of the SVM + MIC algorithm outperforms all existing pilot selection algorithms and perhaps provides the first implementation based on eye tracking and flight dynamics data. This study’s VR simulation platforms and algorithms can be used for pilot selection, training, and personnel selection in other fields (e.g., astronauts)." @default.
• W4366991679 created "2023-04-27" @default.
• W4366991679 creator A5001085706 @default.
• W4366991679 creator A5050382016 @default.
• W4366991679 creator A5054539834 @default.
• W4366991679 creator A5070340044 @default.
• W4366991679 creator A5071024482 @default.
• W4366991679 creator A5078223974 @default.
• W4366991679 creator A5091204897 @default.
• W4366991679 date "2023-04-25" @default.
• W4366991679 modified "2023-09-26" @default.
• W4366991679 title "Pilot Selection in the Era of Virtual Reality: Algorithms for Accurate and Interpretable Machine Learning Models" @default.
• W4366991679 cites W1868691020 @default.
• W4366991679 cites W1917430461 @default.
• W4366991679 cites W1937731213 @default.
• W4366991679 cites W1944439379 @default.
• W4366991679 cites W1968853568 @default.
• W4366991679 cites W1976076706 @default.
• W4366991679 cites W1996020380 @default.
• W4366991679 cites W2024456099 @default.
• W4366991679 cites W2034154485 @default.
• W4366991679 cites W2056168656 @default.
• W4366991679 cites W2058318368 @default.
• W4366991679 cites W2066074450 @default.
• W4366991679 cites W2072471610 @default.
• W4366991679 cites W2099446873 @default.
• W4366991679 cites W2099781129 @default.
• W4366991679 cites W2118561568 @default.
• W4366991679 cites W2136971664 @default.
• W4366991679 cites W2154023747 @default.
• W4366991679 cites W2160327462 @default.
• W4366991679 cites W2226761481 @default.
• W4366991679 cites W2284729062 @default.
• W4366991679 cites W2550999023 @default.
• W4366991679 cites W2569219946 @default.
• W4366991679 cites W2615376873 @default.
• W4366991679 cites W2735137643 @default.
• W4366991679 cites W2739662260 @default.
• W4366991679 cites W2764255107 @default.
• W4366991679 cites W2802589518 @default.
• W4366991679 cites W2892789114 @default.
• W4366991679 cites W2894147818 @default.
• W4366991679 cites W2966174388 @default.
• W4366991679 cites W3006723314 @default.
• W4366991679 cites W3014524176 @default.
• W4366991679 cites W3019001420 @default.
• W4366991679 cites W3023211159 @default.
• W4366991679 cites W3039186463 @default.
• W4366991679 cites W3095595608 @default.
• W4366991679 cites W3122993262 @default.
• W4366991679 cites W3140585758 @default.
• W4366991679 cites W3162431581 @default.
• W4366991679 cites W3163892338 @default.
• W4366991679 cites W3182699897 @default.
• W4366991679 cites W3208713201 @default.
• W4366991679 cites W3211333882 @default.
• W4366991679 cites W332854402 @default.
• W4366991679 cites W4243039236 @default.
• W4366991679 cites W4285602720 @default.
• W4366991679 doi "https://doi.org/10.3390/aerospace10050394" @default.
• W4366991679 hasPublicationYear "2023" @default.
• W4366991679 type Work @default.
• W4366991679 citedByCount "0" @default.
• W4366991679 crossrefType "journal-article" @default.
• W4366991679 hasAuthorship W4366991679A5001085706 @default.
• W4366991679 hasAuthorship W4366991679A5050382016 @default.
• W4366991679 hasAuthorship W4366991679A5054539834 @default.
• W4366991679 hasAuthorship W4366991679A5070340044 @default.
• W4366991679 hasAuthorship W4366991679A5071024482 @default.
• W4366991679 hasAuthorship W4366991679A5078223974 @default.
• W4366991679 hasAuthorship W4366991679A5091204897 @default.
• W4366991679 hasBestOaLocation W43669916791 @default.
• W4366991679 hasConcept C11413529 @default.
• W4366991679 hasConcept C119857082 @default.
• W4366991679 hasConcept C12267149 @default.
• W4366991679 hasConcept C124101348 @default.
• W4366991679 hasConcept C148483581 @default.
• W4366991679 hasConcept C154945302 @default.
• W4366991679 hasConcept C41008148 @default.
• W4366991679 hasConcept C81917197 @default.
• W4366991679 hasConcept C95623464 @default.
• W4366991679 hasConceptScore W4366991679C11413529 @default.
• W4366991679 hasConceptScore W4366991679C119857082 @default.
• W4366991679 hasConceptScore W4366991679C12267149 @default.
• W4366991679 hasConceptScore W4366991679C124101348 @default.
• W4366991679 hasConceptScore W4366991679C148483581 @default.
• W4366991679 hasConceptScore W4366991679C154945302 @default.
• W4366991679 hasConceptScore W4366991679C41008148 @default.
• W4366991679 hasConceptScore W4366991679C81917197 @default.
• W4366991679 hasConceptScore W4366991679C95623464 @default.
• W4366991679 hasFunder F4320335777 @default.
• W4366991679 hasIssue "5" @default.
• W4366991679 hasLocation W43669916791 @default.
• W4366991679 hasOpenAccess W4366991679 @default.
• W4366991679 hasPrimaryLocation W43669916791 @default.
• W4366991679 hasRelatedWork W1996541855 @default.
• W4366991679 hasRelatedWork W2735962158 @default.
• W4366991679 hasRelatedWork W2985924212 @default.

• next