Search Results for "data structures c" - Page 4

An open-source package for analysis of neurophysiological data-- offline (vs real-time) processing of single-neuron spike trains or EEG data associated with behavior and memory processes. Currently MATLAB heavy, with some Windows specific code.

CDS plots and analyzes output from numerical climate models. It is capable of comparing climate model simulations and/or observational data. It consists mostly of a series of MathWorks Matlab language scripts and reads data in NetCDF format.

This is a collection of different little tools written in MATLAB, JAVA, Python. They all have to to do with Imaging & Microscopy for life science research and related topics or problems. Some of them are meant to be used with ImageJ and MicroManager.

MEX/JNI is a set of bindings between MATLAB and Java using Mathworks' External Interface API and Java Native Interface (JNI).

this projects aims at providing a standard HRTF (Head Related Transfer Functions) fileformat specification and the tools to make be able to read and write such files. The main objective is an IFF inspired binary file, but XML equivalent will be possible

UANA (Universal Abstract Numerical Algorithm) is a c++ api for developers to write algorithms independant of the underlying data container classes.

Package for processing Fluorescence Lifetime Imaging Microscopy (FLIM) Data

The thesis titled "On the Recognition of Emotion from Physiological Data" This thesis was submitted by Warren Creemers In Partial Fulfillment of the Requirements for the award of Doctor of Philosophy, (Computer Science) and is currently under examination. Warren Creemers completed this work at the Faculty of Communications, Health and Science - Edith Cowan University in February, 2013.

EveAI processes the data assuming that it has already been read by a sensor. Theoretically this should give it reflex behavior. Now the end product should be a self conscious machine future plans are to include the field of robotics.

This project collect several data mining methods, such as: 1) clustering methods; 2) biclustering methods; 3) FCA methods and etc.