
Highlights: Rg+Dmax inferance from a Dense Neural Network (free_dnn) automatic packaging using github-actions Supports Python 3.9-3.12, including numpy2 New Contributors @t20100 made their first contribution in https://github.com/silx-kit/freesas/pull/72 @Mayank2184 made their first contribution in https://github.com/silx-kit/freesas/pull/83 Full Changelog: https://github.com/silx-kit/freesas/compare/v0.9.0...v2024.9.0
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
