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Использование нейронной модели «SHORTCUTER» для повышения экологичности полетов в районе аэродрома Нальчик

Authors: Dyshekov, K. A.; Lukashevich, O. A.;

Использование нейронной модели «SHORTCUTER» для повышения экологичности полетов в районе аэродрома Нальчик

Abstract

В статье рассмотрено влияние авиационного транспорта на окружающую среду. Представлено применение компьютерной программы, которая спрямляет движение воздушных судов при заходе на посадку что приводит к экономии времени нахождения их в воздушном пространстве, снижению расхода топлива и минимизации выбросов углекислого газа в атмосферу.

The article examines the impact of air transport on the environment. The use of a computer program is presented that straightens the movement of aircraft during landing, which leads to saving time in the airspace, reducing fuel consumption and minimizing carbon dioxide emissions into the atmosphere.

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Keywords

АВИАЦИОННОЕ ТОПЛИВО, ПРОГРАММА НЕЙРОННОЙ МОДЕЛИ «SHORTCUTER», CARBON DIOXIDE, AIRCRAFT, ДИСПЕТЧЕР, NEURAL MODEL PROGRAM "SHORTCUTER", AVIATION FUEL, ВОЗДУШНЫЕ СУДА, УГЛЕКИСЛЫЙ ГАЗ, DISPATCHER

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green