Feasibility Study on Improvement of Cruise Flight Time Prediction via Aircraft Mass Estimation during Climb Trajectory

JOURNAL OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES ◽

10.2322/jjsass.68.7 ◽

2020 ◽

Vol 68 (1) ◽

pp. 7-11

Author(s):

Tatsuru Serita ◽

Noboru Takeichi ◽

Akinori Harada

Keyword(s):

Feasibility Study ◽

Flight Time ◽

Mass Estimation ◽

Time Prediction ◽

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Feasibility study on modeling of cruise flight time uncertainty

2017 IEEE/AIAA 36th Digital Avionics Systems Conference (DASC) ◽

10.1109/dasc.2017.8102081 ◽

2017 ◽

Author(s):

Noboru Takeichi ◽

Akihiro Motodani

Keyword(s):

Feasibility Study ◽

Flight Time ◽

Time Uncertainty ◽

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Feasibility Study on Modeling of Flight Time Prediction Uncertainty using Flight and Meteorological Conditions

JOURNAL OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES ◽

10.2322/jjsass.66.123 ◽

2018 ◽

Vol 66 (5) ◽

pp. 123-127

Author(s):

Akihiro Motodani ◽

Noboru Takeichi

Keyword(s):

Feasibility Study ◽

Flight Time ◽

Meteorological Conditions ◽

Prediction Uncertainty ◽

Time Prediction

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En Route Flight Time Prediction Under Convective Weather Events

2018 Aviation Technology, Integration, and Operations Conference ◽

10.2514/6.2018-3670 ◽

2018 ◽

Author(s):

Guodong Zhu ◽

Chris Matthews ◽

Peng Wei ◽

Matt Lorch ◽

Subhashish Chakravarty

Keyword(s):

Flight Time ◽

Time Prediction ◽

Weather Events ◽

Convective Weather

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On Flight Time Prediction of Flights from Fukuoka bound for Haneda in Kanto South Sector

The Journal of Japan Institute of Navigation ◽

10.9749/jin.136.1 ◽

2017 ◽

Vol 136 (0) ◽

pp. 1-7

Author(s):

Masato FUJITA

Keyword(s):

Flight Time ◽

Time Prediction

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Flight time prediction for fuel loading decisions with a deep learning approach

Transportation Research Part C Emerging Technologies ◽

10.1016/j.trc.2021.103179 ◽

2021 ◽

Vol 128 ◽

pp. 103179

Author(s):

Xinting Zhu ◽

Lishuai Li

Keyword(s):

Deep Learning ◽

Flight Time ◽

Learning Approach ◽

Fuel Loading ◽

Time Prediction

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Data‐driven flight time prediction for arrival aircraft within the terminal area

IET Intelligent Transport Systems ◽

10.1049/itr2.12142 ◽

2021 ◽

Author(s):

Junfeng Zhang ◽

Zihan Peng ◽

Chunwei Yang ◽

Bin Wang

Keyword(s):

Flight Time ◽

Data Driven ◽

Time Prediction ◽

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Trajectory Flight-Time Prediction based on Machine Learning for Unmanned Traffic Management

2020 AIAA/IEEE 39th Digital Avionics Systems Conference (DASC) ◽

10.1109/dasc50938.2020.9256513 ◽

2020 ◽

Author(s):

Claudia Conte ◽

Domenico Accardo ◽

Giancarlo Rufino

Keyword(s):

Machine Learning ◽

Traffic Management ◽

Flight Time ◽

Time Prediction

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Pragmatic Language Intervention for Adults With Asperger Syndrome or High-Functioning Autism: A Feasibility Study

Contemporary Issues in Communication Science and Disorders ◽

10.1044/cicsd_40_f_85 ◽

2013 ◽

Vol 40 (Fall) ◽

pp. 85-97 ◽

Author(s):

Kimberly A. Murza ◽

Chad Nye

Keyword(s):

Asperger Syndrome ◽

Feasibility Study ◽

High Functioning Autism ◽

Language Intervention ◽

Pragmatic Language ◽

High Functioning

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A DOUBLE COAXIAL DELIVERY SYSTEM FOR DEPLOYMENT OF A TWO-STAGE STENT-GRAFT: An experimental feasibility study

Acta Radiologica ◽

10.1080/028418500127344786 ◽

2000 ◽

Vol 41 (1) ◽

pp. 67-72 ◽

Author(s):

A. Kónya ◽

K.C. Wright

Keyword(s):

Feasibility Study ◽

Stent Graft ◽

Delivery System ◽

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Cognitive and motivational factors influencing time prediction.

Journal of Experimental Psychology Applied ◽

10.1037/1076-898x.3.3.216 ◽

1997 ◽

Vol 3 (3) ◽

pp. 216-239 ◽

Author(s):

Stephanie J. Byram

Keyword(s):

Motivational Factors ◽

Time Prediction ◽

Factors Influencing

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