Search Results for "case"

...Further characteristics are fuzzy features and classes; numeric, enumeration features and features based on linguistic variables; user-defined features; derived and evaluated features; classifiers as features for building hierarchical systems; automatic refinement in case of dependent features; incremental learning; fuzzy control language support; object-oriented software design with extensible objects and automatic garbage collection; generic data base support through ODBC or SQLite; text I/O and HTML output; an advanced graphical user interface based on GTK+; and examples of use.

Gravitropic response is studied in most of the laboratories working with Arabidopsis thaliana, for example, to detect new phenotypes in mutants. However, manual analysis of images and microscopy data are known to be subjected to human bias. This is particularly the case for manual measurements of root bending as the angle is set subjectively. In this context, it is essential to develop and use automated or semi-automated image analysis to produce faster, reproducible, and unbiased data. In this context, we developped ACORBA (Automatic Calculation Of Root Bending Angles), a fully automated software to measure root bending angle over time.

...The software can handle genetic (e.g. SSR) and biochemical (e.g. isozyme) data, can construct similarity matrices and UPGMA or NJ dendograms. It can calculate the frequencies of null alleles in the case of genetic data as well as H (heterosigosity) and PIC (polymorphic Information Content) values. Parentage analyses gives a list of possible parent-offspring combinations, and likelihood ratio statistics corresponding to the detected combinations. For details see MolMarker Manual.pdf

Lucid is a collection of infrastructure and tools for research in neural network interpretability. Lucid is research code, not production code. We provide no guarantee it will work for your use case. Lucid is maintained by volunteers who are unable to provide significant technical support. Start visualizing neural networks with no setup. The following notebooks run right from your browser, thanks to Collaboratory. It's a Jupyter notebook environment that requires no setup to use and runs entirely in the cloud. You can run the notebooks on your local machine, too. ...

...Currently, the parameters of the model are not fit data but are simply defaults. These might fit better for some localities than others. In particular, the initial case counts are often only rough estimates. The primary purpose of the tool is to explore the dynamics of COVID19 cases and the associated strain on the health care system in the near future. The outbreak is influenced by infection control measures such as school closures, lock-down etc. The effect of such measures can be included in the simulation by adjusting the mitigation parameters. ...

...All components are available for Delphi 6, Delphi 7, Delphi 2005, Delphi 2006, Delphi 2007, Delphi 2009, Delphi 2010, Delphi XE, Delphi XE2, Delphi XE3, Delphi XE4, Delphi XE5, Delphi XE6, Delphi XE7, Delphi XE8, Delphi 10 Seattle, Delphi 10.1 Berlin. Please note that the samples do not require components installation (however installation is possible and in case when installed you find the components on "Samples" page of the pallete). You may open the Delphi project file (*.dpr) in the sample folder and simply run it. Fully functional TGraph component