UAT ADS-B Data Anomalies and the Effect of Flight Parameters on Dropout Occurrences-Reference-Cited by-同舟云学术

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UAT ADS-B Data Anomalies and the Effect of Flight Parameters on Dropout Occurrences

Published:2018-06-08 Issue:2 Volume:3 Page:19
ISSN:2306-5729
Container-title:Data
language:en
Short-container-title:Data

Author:

Tabassum Asma,Semke William

Funder

Federal Aviation Administration

Publisher

MDPI AG

Subject

Information Systems and Management,Computer Science Applications,Information Systems

Link

http://www.mdpi.com/2306-5729/3/2/19/pdf

Reference47 articles.

1. Future Air Navigation System (FANS)https://www.theairlinepilots.com/forumarchive/quickref/fans.pdf

2. Minimum Aviation System Performance Standards for Automatic Dependent Surveillance Broadcast (ADS-B),2002

3. RTCA-SC-228 Draft Detect and Avoid (DAA) Minimum Operational Performance Standards for Verification and Validation,2015

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1. Development of a machine learning model for predicting abnormalities of commercial airplanes;Data Science and Management;2024-09

2. Blank Spot Area Analysis Using ADS-B Framework: An Indonesia International Airport Case Study;IEEE Aerospace and Electronic Systems Magazine;2024-08

3. Imputing ADS-B/GPS Dropouts using Machine Learning Models;2024 IEEE 14th Annual Computing and Communication Workshop and Conference (CCWC);2024-01-08

4. A METHOD FOR AUTOMATIC AIRPORT OPERATION COUNTS USING CROWD-SOURCED ADS-B DATA;Aviation;2022-11-29

5. Estimation of aircraft fuel consumption by modeling flight data from avionics systems;Journal of Air Transport Management;2022-03

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