This application allow user to predict microemulsion region based on algorithm consisted of artificial neural networks and random forests. Those techniques combined create Decision Support System.
Application was created as a part of project K/DSC/000033 subsidy for young researchers from Polish Ministry of Higher Education.
Structlab is a machine learning C++ framework for structured domains, which provides a toolbox of learning methods and tools for preprocessing and visualization. It also provides a GUI to setup elaborate experiments in a visual and intuitive way.
The aim of the project is to provide open source collection of algorithms in the field of spectroscopy: data handling and processing, modeling and artificialintelligence tools.
Mito-MAS-m is a simulator of the mitochondrial inner membrane and the enzymatic complexes embedded in it, implementing a coarse-grained (CG) model of the molecules using rigid structures and Dissipative Particules Dynamics (DPD) as motion equation.
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Diagram (JGraph) driven simulator. Bondgraphs > nonlinear differantial system > plot: implemented for economics and ecology. Network analysis: emergy propagation implemented. Would also fit for electronics, mechanics, cost, GWP, footprint analysis.