Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Mevlut Uzun"'
Autor:
Arinc Tutku Altun, Mehmet Hasanzade, Emre Saldiran, Guney Guner, Mevlut Uzun, Rodolphe Fremond, Yiwen Tang, Prithiviraj Bhundoo, Yu Su, Yan Xu, Gokhan Inalhan, Michael W. Hardt, Alejandro Fransoy, Ajay Modha, Jose Antonio Tena, Cesar Nieto, Miguel Vilaplana, Marta Tojal, Victor Gordo, Pablo Menendez, Ana Gonzalez
Publikováno v:
Aerospace, Vol 10, Iss 9, p 775 (2023)
Advanced Air Mobility (AAM) is a concept that is expected to transform the current air transportation system and provide more flexibility, agility, and accessibility by extending the operations to urban environments. This study focuses on flight test
Externí odkaz:
https://doaj.org/article/a5bb5e41d4dd46658cce4863755572db
Autor:
Arinc Tutku Altun, Mehmet Hasanzade, Emre Saldiran, Guney Guner, Mevlut Uzun, Rodolphe Fremond, Yiwen Tang, Prithiviraj Bhundoo, Yu Su, Yan Xu, Gokhan Inalhan, Michael W. Hardt, Alejandro Fransoy, Ajay Modha, Jose Antonio Tena, Cesar Nieto, Miguel Vilaplana, Marta Tojal, Victor Gordo, Pablo Menendez, Ana Gonzalez
Publikováno v:
Aerospace, Vol 10, Iss 8, p 712 (2023)
The emerging field of Advanced Air Mobility (AAM) holds great promise for revolutionizing transportation by enabling the efficient, safe, and sustainable movement of people and goods in urban and regional environments. AAM encompasses a wide range of
Externí odkaz:
https://doaj.org/article/6a91f8a6507e45fbaeaf769a6d0ef9c4
Publikováno v:
Aerospace, Vol 8, Iss 2, p 44 (2021)
This paper presents a physics-guided deep neural network framework to estimate fuel consumption of an aircraft. The framework aims to improve data-driven models’ consistency in flight regimes that are not covered by data. In particular, we guide th
Externí odkaz:
https://doaj.org/article/a0a0dc360f374d288ba1f20390f72f10
Publikováno v:
IFAC-PapersOnLine. 51:162-167
Aircraft trajectory prediction is a feature at the core of most Air Traffic Management (ATM) applications. This process is strongly affected by stochastic sources that impact the accuracy of the predictions. The work presented hereafter focuses on ap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12edf7c517d1140ee6baff74104c6a7d
https://doi.org/10.1016/j.ifacol.2018.07.027
https://doi.org/10.1016/j.ifacol.2018.07.027
Publikováno v:
IFAC-PapersOnLine. 51:180-185
In the aspect of Trajectory Based Operations (TBO), accurate trajectory predictions are essential for meeting future concepts defined in SESAR and NextGen visions. The 4D trajectories are results of generated flight plans by Airline Operation Centers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0429ce99c801d4026bc9b29ff2e59334
https://doi.org/10.1016/j.ifacol.2018.07.030
https://doi.org/10.1016/j.ifacol.2018.07.030
Publikováno v:
2019 IEEE/AIAA 38th Digital Avionics Systems Conference (DASC).
This paper applies machine learning techniques to improve flight efficiency. Specifically, we focus on two distinct problems: uncertainties in aircraft performance models and uncertainties in wind. In this sense, this paper proposed methodologies to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a538fa6b5ab1deffd5bb345f434c7d8
https://doi.org/10.1109/dasc43569.2019.9081804
https://doi.org/10.1109/dasc43569.2019.9081804
Publikováno v:
2019 IEEE Aerospace Conference.
This study implements deep learning techniques to estimate fuel burn of a jet aircraft. Current ground-based flight planning systems utilize aircraft type specific performance tables to determine fuel flows for given flight conditions and parameters
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c08cd268247555770503ace96089d6c2
https://doi.org/10.1109/aero.2019.8741729
https://doi.org/10.1109/aero.2019.8741729
Publikováno v:
Aerospace
Volume 8
Issue 2
Aerospace, Vol 8, Iss 44, p 44 (2021)
Volume 8
Issue 2
Aerospace, Vol 8, Iss 44, p 44 (2021)
This paper presents a physics-guided deep neural network framework to estimate fuel consumption of an aircraft. The framework aims to improve data-driven models’ consistency in flight regimes that are not covered by data. In particular, we guide th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f54db7dc93465f9b253b94da3710331a
https://doi.org/10.3390/aerospace8020044
https://doi.org/10.3390/aerospace8020044
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering. 230:1605-1631
Considering the transformation in roles of existing air traffic management technologies, future flight operations and flight deck systems will need additional avionics and operational procedures that involve adaptive algorithms and advanced decision
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a061c77f1160db0fe1c6ab994899263c
https://doi.org/10.1177/0954410015626735
https://doi.org/10.1177/0954410015626735
Publikováno v:
2018 Aviation Technology, Integration, and Operations Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13677df87523059da14c0afba57461c9
https://doi.org/10.2514/6.2018-2880
https://doi.org/10.2514/6.2018-2880