Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Umut M. Demirezen"'
Publikováno v:
AIAA Scitech 2021 Forum.
In this paper, we present a brief review of the state of the art physics informed deep learning methodology and examine its applicability, limits, advantages, and disadvantages via several applications. The main advantage of this method is that it ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0376e3666b3d35ae80b750f014e5070b
https://doi.org/10.2514/6.2021-0177
https://doi.org/10.2514/6.2021-0177
Publikováno v:
Scopus-Elsevier
In this study, we develop a machine learning based fleet autonomy for Unmanned Combat Aerial Vehicles (UCAVs) utilizing a synthetic simulation-based wargame environment. Aircraft survivability is modeled as Markov processes. Mission success metrics a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91d7aff58a19a3aaf08620046c196138
https://dspace.lib.cranfield.ac.uk/handle/1826/16274
https://dspace.lib.cranfield.ac.uk/handle/1826/16274
Publikováno v:
AIAA Scitech 2019 Forum.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3b72f807d4a898e9f5945dae28c7b87
https://doi.org/10.2514/6.2019-1978.c1
https://doi.org/10.2514/6.2019-1978.c1
Autor:
Mustafa Demir, Emre Saldiran, Umut M. Demirezen, Emre Koyuncu, Sinan Oguz, Burak Yuksek, Mehmet Akcakoca, Basak Gever, Gokhan Inalhan, Ramazan Yeniceri, Bilge Mirac Atici
Publikováno v:
AIAA Scitech 2019 Forum.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2829b1e01891b85135e99f4d60fb10b0
https://doi.org/10.2514/6.2019-1979
https://doi.org/10.2514/6.2019-1979