Epilots:商业航班进近阶段硬着陆预测系统

.Mamatha, M
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引用次数: 0

摘要

本项目旨在开发一种名为 "E-Pilots "的系统,利用机器学习算法预测商业航班进场阶段的硬着陆情况。该系统将分析飞行数据,提前预测硬着陆情况,目的是为飞行员提供实时警告和指导,防止事故发生,提高安全性。研究方法包括收集和分析飞行数据、开发和测试机器学习算法,以及将 E-Pilots 系统与现有飞行系统集成。这项研究的意义还可能扩展到航空安全和飞行自动化的其他领域。
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Epilots : A System to Predict Hard Landing During the Approach Phase of Commercial Flights
This project aims to develop a system called E-Pilots that uses machine learning algorithms to predict hard landings during the approach phase of commercial flights.The system will analyze flight data to precede hard landings.The goal is to provide pilots with real-time warnings and guidance to prevent accidents and improve safety.The research methodology includes the collection and analysis of flight data, the development and testing of machine learning algorithms, and the integration of the E-Pilots system with existing flight systems.The findings of this project are expected to contribute to the improvement of aviation safety and reduce the occurrence of hard landings. The implications of this research may also extend to other areas of aviation safety and flight automation.
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