1,361 to 1,370 of 1,471 Results
Python Source Code - 8.9 KB -
MD5: ed55405b58aef65d2662255ddd8d9cc4
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Nov 2, 2022 -
Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network
RAR Archive - 4.9 MB -
MD5: 2bbf50daf95d7202805cae40478ab4f6
Dissolved and total contaminant concentration data generated with the Freundlich sorption isotherm. |
Nov 2, 2022 -
Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network
RAR Archive - 4.6 MB -
MD5: 13fc5f6002a31acb194132b43364068d
Dissolved and total contaminant concentration data generated with the Langmuir sorption isotherm. |
Nov 2, 2022 -
Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network
RAR Archive - 4.9 MB -
MD5: d3d4f64769bbcc9f269ae8f7da229e86
Dissolved and total contaminant concentration data generated with the linear sorption isotherm. |
Oct 26, 2022 -
Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence
Plain Text - 4.1 KB -
MD5: 6fee5b73c68cdf41aa2e07b588b49d08
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Oct 26, 2022 -
Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence
Plain Text - 5.2 KB -
MD5: 688ac03745705e5ef1fbefd492d7fcb2
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Oct 26, 2022 -
Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence
Plain Text - 5.2 KB -
MD5: 6bea3e2e59fec4bb0a0092e48a5068a8
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Oct 26, 2022 -
Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence
Plain Text - 4.1 KB -
MD5: 2ca7be0ba739a429c6d69244d2e02341
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Oct 26, 2022 -
Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence
Plain Text - 4.2 KB -
MD5: 91e5a7c3050be111be0b2e80d0b545f9
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Oct 26, 2022 -
Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence
Plain Text - 282 B -
MD5: 7320937c7552849557bd5f913dee4fdf
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