191 to 200 of 25,729 Results
Sep 14, 2026 -
All Steps: Pretrained Models
ZIP Archive - 919.8 MB -
MD5: 61b814bb25174f681737ba60c4ffcf14
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Sep 14, 2026 -
All Steps: Pretrained Models
ZIP Archive - 979.0 MB -
MD5: 5c0208e399d27df3cda1334d1fe78096
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Sep 14, 2026 -
All Steps: Pretrained Models
ZIP Archive - 985.8 MB -
MD5: 20425ed40e023b041fc00cf1b336c231
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Sep 14, 2026 -
All Steps: Pretrained Models
ZIP Archive - 2.0 GB -
MD5: c233ba7096c8b5662aab0a8d9970bcfb
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Sep 14, 2026 -
All Steps: Pretrained Models
ZIP Archive - 1.0 GB -
MD5: 5d4aba0bd160086d652c7fb31bb5397a
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Sep 10, 2026 - Usability and Sustainability of Simulation Software
Neubauer, Felix, 2026, "Replication data for: Orchestrating Schema Conversions Across Heterogeneous Schema Languages: A Graph-Based, Black-Box Approach", https://doi.org/10.18419/DARUS-6158, DaRUS, V3, UNF:6:UrN7pGlBgFwIikRGgxB/eQ== [fileUNF]
This dataset accompanies the paper “Orchestrating Schema Conversions Across Heterogeneous Schema Languages: A Graph-Based, Black-Box Approach” and provides source code snapshots, evaluation inputs and outputs, LLM-based conversion annotations, and derived analyses. It includes the Schema Conversion Orchestrator, a Python/Flask service that discover... |
Sep 10, 2026 -
Replication data for: Orchestrating Schema Conversions Across Heterogeneous Schema Languages: A Graph-Based, Black-Box Approach
Markdown Text - 352 B -
MD5: ddc4ee0df75b86381551925321578538
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Sep 10, 2026 -
Replication data for: Orchestrating Schema Conversions Across Heterogeneous Schema Languages: A Graph-Based, Black-Box Approach
JSON - 580 B -
MD5: 577af37d520a9d885510471fa7f60793
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Sep 10, 2026 -
Replication data for: Orchestrating Schema Conversions Across Heterogeneous Schema Languages: A Graph-Based, Black-Box Approach
Unknown - 614 B -
MD5: 3729286da931ec08a07b9cdd5b4ce329
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Sep 10, 2026 -
Replication data for: Orchestrating Schema Conversions Across Heterogeneous Schema Languages: A Graph-Based, Black-Box Approach
Unknown - 1.2 KB -
MD5: 96d62c1362e1a15b1f22945394f338a1
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