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May 13, 2026 - QoI - OH structures
ZIP Archive - 163.0 MB - MD5: 0ac72c1f03fb92bcb545c41e311dde52
May 13, 2026 - QoI - OH structures
Markdown Text - 841 B - MD5: 684c024ad5ff5447d1c8bc930275236f
May 13, 2026 - Jose et al. PROCI 2026 LIF Segmentation
Jose, Basil; Greenblatt, Daniel; Lindstedt, Rune Peter; Breicher, Adrian; Geyer, Dirk; Lammel, Oliver; Hampp, Fabian, 2026, "Code, Data and Models for “Transferable DL for in-situ validated LIF segmentation”", https://doi.org/10.18419/DARUS-5960, DaRUS, V1
This dataset provides the code, trained models, and supporting data needed to reproduce the work presented in Jose et al. 2026 on transferable deep-learning-based OH-LIF segmentation. The study trains a segmentation model on synthetically generated, auto-labelled OH-LIF images derived from a single source flame and validates its drop-in transferabi...
Python Source Code - 1.3 KB - MD5: be757d9ce1fd6245934dca92ac428a38
Python Source Code - 590 B - MD5: 8420adc184c9aabe944ca42f88fa9217
Python Source Code - 4.4 KB - MD5: d2d0ad477eee5f5e23e706630c4537d8
Python Source Code - 699 B - MD5: 78090d83658d04d0b9ef31914dd16a50
Unknown - 6.7 KB - MD5: b10953b750f8b70cf78a3a7f5b2bca26
Unknown - 363.9 MB - MD5: cb5842f80aab3a50ca3a1052c2e15fd0
Markdown Text - 8.5 KB - MD5: f9136a26091c16691167446d2204ffae
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