An easy to install and use toolbox for octave for the calculation purpose of power system along with features like Economic load dispatch, load flow analysis, transmission line parameter and swing equation etc
A user-friendly interface for running simulations of the gene networks comprising the circadian clock. Modules allow the simulation of experimental protocols with just a few mouse clicks. Users can fine-tune simulations to suit their particular interests.
Open Source White Matter Hyperintensities Segmentation Toolbox
Wisconsin White Matter Hyperintensity Segmentation [W2MHS] and Quantification Toolbox is an open source MatLab toolbox designed for detecting and quantifying White Matter Hyperintensities (WMH) in Alzheimer’s and aging related neurological disorders. WMHs arise as bright regions on T2- weighted FLAIR images. They reflect comorbid neural injury or cerebral vascular disease burden. Their precise detection is of interest in Alzheimer’s disease (AD) with regard to its prognosis. Our toolbox provides a self-sufficient set of tools for segmenting these WMHs reliably and further quantifying their burden for down-processing studies.
Complex Systems is a toolbox for SCILAB software. This toolbox measures some parameters for graphs representing complex systems: degree distribution, average neighboring degree, average clustering, and shell index (from k-core decomposition).
Excited Energy Levels and Various Shapes (EELViS) was developed for calculation of the Extended Tao-Eldrup model results. The relation between potential well dimensions and positronium (Ps) lifetime can be calculated using this code.
EpiStruct is a set of mathematical routines for epidemic modelling and inference in structured populations.
Calculates dynamics of osmosis-based pressure generation using PEG.
This MATLAB script calculates pressure as a function of time inside a submerged membrane-bound compartment containing an aqueous PEG solution as an osmotic driver. It can also be used to calculate a membrane's hydraulic permeability by fitting experimental data. The model used accounts for the dilution effects caused by the compartment's expansion. All of this project's resources can be found in the "Files" section.
A Model for transcription factor turnover as described in PMID:X. This model was developed for analysis of the Rap1 transcription factor in yeast (S. cerevisiae), though it is theoretically applicable to most dynamic interactions with DNA.
An adaptive neural network and evolutionary algorithms approach to the machine learning tasks, based on the modular graph grammars. Tested on the "two spirals problem" and other tasks. Implemented in Matlab and C++.