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pro vyhledávání: '"ULLMAN, MICHAEL"'
This study presents a novel algorithm based on machine learning (ML) for the precise segmentation and measurement of detonation cells from soot foil images, addressing the limitations of manual and primitive edge detection methods prevalent in the fi
Externí odkaz:
http://arxiv.org/abs/2409.06466
Numerical simulations of detonation-containing flows have emerged as crucial tools for designing next-generation power and propulsion devices. As these tools mature, it is important for the combustion community to properly understand and isolate grid
Externí odkaz:
http://arxiv.org/abs/2406.08631
Autor:
ULLMAN, MICHAEL
Publikováno v:
Fanfare: The Magazine for Serious Record Collectors. Sep/Oct2024, Vol. 48 Issue 1, p418-422. 5p.
Publikováno v:
In Cognition October 2024 251
Autor:
Ullman, Michael, Raman, Venkat
Publikováno v:
In Applications in Energy and Combustion Science December 2024 20
Publikováno v:
In Combustion and Flame June 2024 264
Autor:
Ullman, Michael, Prakash, Supraj, Jackson, Deborah, Raman, Venkat, Slabaugh, Carson, Bennewitz, John
Publikováno v:
In Combustion and Flame November 2023 257 Part 2
Akademický článek
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Publikováno v:
In Applications in Energy and Combustion Science September 2023 15
Autor:
Dubins, Jerry, Ullman, Michael
Publikováno v:
Fanfare: The Magazine for Serious Record Collectors. May/Jun2024, Vol. 47 Issue 5, p300-302. 3p.