11 to 20 of 1,036 Results
Sep 4, 2026 -
Replication Script for "Deep Learning-Driven Peptide Classification in Biological Nanopores"
application/toml - 380 B -
MD5: 36a85523736b3bd724e1165a34d791d8
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Sep 4, 2026 -
Replication Script for "Deep Learning-Driven Peptide Classification in Biological Nanopores"
Markdown Text - 3.2 KB -
MD5: 8cf46ebcd8855019220fd2d7f793a6fb
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Sep 4, 2026 -
Replication Script for "Deep Learning-Driven Peptide Classification in Biological Nanopores"
Python Source Code - 10.4 KB -
MD5: cf388ea73a52436e3fdf0c58b738f2ed
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Sep 4, 2026 -
Replication Script for "Deep Learning-Driven Peptide Classification in Biological Nanopores"
Python Source Code - 13.2 KB -
MD5: 48b9ccc3a4d19ffe4711dd4dcb43926b
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Sep 4, 2026 -
Replication Script for "Deep Learning-Driven Peptide Classification in Biological Nanopores"
Python Source Code - 4.0 KB -
MD5: a15bd094d4bee1b89b11edf11828a8fe
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Sep 4, 2026 -
Replication Script for "Deep Learning-Driven Peptide Classification in Biological Nanopores"
Python Source Code - 5.0 KB -
MD5: bf7d81e70774e8353aa4d83766d6e540
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Sep 4, 2026 -
Replication Script for "Deep Learning-Driven Peptide Classification in Biological Nanopores"
Python Source Code - 5.7 KB -
MD5: 0f5de552d3b1b77c8a38362e0c90536c
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Sep 4, 2026 -
Replication Script for "Deep Learning-Driven Peptide Classification in Biological Nanopores"
Python Source Code - 12.6 KB -
MD5: c1065efa464965a0c406d9a91916e89f
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Aug 3, 2026 - Holm group
Drotleff, Jannik; Tovey, Samuel; Hohenberger, Paul; Lohrmann, Christoph; Hoßbach, Julian; Nikolaou, Konstantin; Holm, Christian, 2026, "Replication Data for: "Reinforcement Learning Enables Autonomous Microrobot Navigation and Intervention in Simulated Blood Capillaries"", https://doi.org/10.18419/DARUS-6350, DaRUS, V1
This dataset contains all scripts and files to replicate the results of our paper "Reinforcement Learning Enables Autonomous Microrobot Navigation and Intervention in Simulated Blood Capillaries". It includes simulation data, analysis outputs, and precomputed results. The files are organized by workflow stage: field generation, training, deployment... |
Unknown - 2.1 KB -
MD5: 6da486cdc4e556c492ca3844bfae3620
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