https://www.scipedia.com/wd/index.php?action=history&feed=atom&title=Shmelova_et_al_2019aShmelova et al 2019a - Revision history2026-04-22T03:38:09ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10https://www.scipedia.com/wd/index.php?title=Shmelova_et_al_2019a&diff=173817&oldid=prevScipediacontent: Scipediacontent moved page Draft Content 419498041 to Shmelova et al 2019a2020-10-14T11:54:54Z<p>Scipediacontent moved page <a href="/public/Draft_Content_419498041" class="mw-redirect" title="Draft Content 419498041">Draft Content 419498041</a> to <a href="/public/Shmelova_et_al_2019a" title="Shmelova et al 2019a">Shmelova et al 2019a</a></p>
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</td></tr></table>Scipediacontenthttps://www.scipedia.com/wd/index.php?title=Shmelova_et_al_2019a&diff=173816&oldid=prevScipediacontent: Created page with " == Abstract == This chapter presents the application of new information technology in education for the training of air traffic controllers (ATCs). Machine learning, multi-c..."2020-10-14T11:54:52Z<p>Created page with " == Abstract == This chapter presents the application of new information technology in education for the training of air traffic controllers (ATCs). Machine learning, multi-c..."</p>
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== Abstract ==<br />
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This chapter presents the application of new information technology in education for the training of air traffic controllers (ATCs). Machine learning, multi-criteria decision analysis, and text analysis as the methods of artificial intelligence for ATCs training have been described. The authors have made an analysis of the International Civil Aviation Organization documents for modern principles of ATCs education. The prototype of the neural network for evaluating the timeliness and correctness of the decision making by ATCs has been developed. The new theoretical and practical tasks for simulation and pre-simulation training have been obtained using expert judgment method. The methodology for sentiment analyzing the airline customers' opinions has been proposed. In addition, the examples of artificial intelligence systems and expert systems by the authors, students and colleagues from National Aviation University, Ukraine and Gdansk University of Technology, Poland have been proposed. <br />
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Document type: Part of book or chapter of book<br />
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== Full document ==<br />
<pdf>Media:Draft_Content_419498041-beopen414-7974-document.pdf</pdf><br />
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== Original document ==<br />
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The different versions of the original document can be found in:<br />
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* [http://pdfs.semanticscholar.org/af01/e90e6ce58426cc254d69bd685485878d9f2d.pdf http://pdfs.semanticscholar.org/af01/e90e6ce58426cc254d69bd685485878d9f2d.pdf]</div>Scipediacontent