Search Results for "using" - Page 6

The collection MICROMECHANICS (micromechanics.zip) includes: (1) lecture notes (microbook.pdf) on the analysis of heterogeneous materials and homogenization, and (2) source codes (microcode.tar.bz2) that accompany the computational exercises in Part II of the notes. Instructions on using the codes are given in the README file of each exercise. Further instructions can be found in the file microcode.tar.bz2. The MATLAB codes are used for visualization, evaluating analytical bounds and estimates as well as in the generation of digital and particulate microstructures. The Fortran codes are based on the finite element method in linear and nonlinear settings, the latter capable of finite deformations with damage. ...

RandTree is a MatLab based tree simulator program where the algorithm is based on Honda's model. We have used probabilistic generation of branches in order to simulate visually realistic tree structures. This program is designed to generate branching structures with bifurcation branching pattern (sympodial branching). By changing the probabilities and branching angles, you can generate different shapes of trees.

The RODEOlib, or (Ro)bust (De)sign (O)ptimization library, is a MATLAB/Octave library for (robust) optimization using Evolutionary Algorithms. It contains MATLAB/Octave code for optimization in noisy and uncertain environments.

The Stanford Machine Learning Course Exercises repository contains programming assignments from the well-known Stanford Machine Learning online course. It includes implementations of a variety of fundamental algorithms using Python and MATLAB/Octave. The repository covers a broad set of topics such as linear regression, logistic regression, neural networks, clustering, support vector machines, and recommender systems. Each folder corresponds to a specific algorithm or concept, making it easy for learners to navigate and practice. The exercises serve as practical, hands-on reinforcement of theoretical concepts taught in the course. ...

This is a MATLAB implementation of inverse compositional Active Appearance Models (AAMs), as described in the "Active Appearance Models Revisited" paper by Iain Matthews and Simon Baker.

...Unique design; two separate three way valve used in Simulink descriptive schema to create four way valve. This design also include excellent PID control for result correction. I created this file in 2006 and since then it have been using in the universities and industry. Matlab Simulink, dört yollu vana dizayn dosyasıdır. Çok kesin ve hassas sonuç veren bir simülasyon dosyasıdır. Simulink şeması üzerinde çok özgün bir tasarım ile iki ayrı 3 yollu vana kullanılarak dizayn ettim dört yollu vanayı. Bu dizaynı, aynı zamanda, sonuçları istendiği şekle getirmek için mükemmel bir PID kontrolü ile birlikte tasarladım. ...

...Because BLIM Toolbox is meant to work with other Argus software, it is programmed in Matlab. For the BLIM Toolbox to run, Matlab needs to be installed. However, knowledge of Matlab programming is not required for using the toolbox.

...Common methods, including Green's function method and Master Equation method et al, will be applied to the coding. Samples of calculations and standard comparison with publications using the library will be given for demonstration of the usage. Interface to some commonly used software, such as Lumerical FDTD Solutions, will also be developed in the project. This project is titled under nanophotonics, quantum optics, nano-optics, computational physics and physics.

PHACCS is a bioinformatic tool designed for a scientific public. It gives estimates of the structure and diversity of uncultured viral communities using metagenomic information.

A MATLAB toolbox for time series analysis using state space models. Supports fully interactive model construction with MATLAB objects and efficient Kalman filter backend implemented in c.

Face recognition using BPNN. Contains 1.Face recognition using Back propagation neural network (customize code) code using matlab. 2. Face recognition using Back propagation network (builtin) code using matlab.Project closed for now,Adeel Raza Azeemi

Using the Mean Machine, even very large EEG data sets can be analyzed (artifact detection, evoked potentials, frequency analysis, ect.). It is a Matlab GUI application, which can also be run via the command line without GUI-support.

Tool for visualizing artificial neural networks in Matlab using the Matlab Neural Network Toolbox (see wiki for details).

YourTubes is an implementation of a GUI in Matlab that allows to reconstruct the geometry of various sets of pipes that belong to a plant, using some images taken randomly as a training set.

This application allows to generate graphics from data file in table format and a graphical configuration file XML..

A library for fast computation of Gauss transforms in multiple dimensions, using the Improved Fast Gauss Transform and Approximate Nearest Neighbor searching. This library is useful for efficient Kernel Density Estimation (KDE) using a Gaussian kernel.

This project aims to provide open source software implementing the Wedge algorithm for the estimation of parameters in dynamical systems models. This project also seeks to create tutorials and resources for those using Wedge.

A particle swarm optimization demo written by students in the digital communication msc program (2010) at uni-kiel.

The files contained in this distribution implement a computer vision system for the classification and interpretation of flag semaphore signals. Optionally, the message can be used to send and receive TCP/IP packets using the RFC 4824 protocol.

This is a program written in matlab to grade exams using Optical Mark Recognition. Samples of OMR sheets that are to be filled by students is also included. It supports rotation of up to 6 degrees as well as 180 degree rotation.

Anmech is a tool for symbolic calculations and mathematical modelling using Matlab. Its main functions are automated derivation of equations of motion of mechanical systems and derivation of system of differential equations with numeric parameters.

The project goal is to develop several IP cores that would implement artificial neural networks using FPGA resources. These cores will be designed in such a way to allow easy integration in the Xilinx EDK framework.

Linear Time Invariant (LTI) system identification using particle swarm optimization (PSO) algorithm. Creators : Vahid Kiani, Hadi Sadoghi Yazdi

A framework for solving large systems of linear equations (Ax=b) in a distributed network using different iterative methods. The solver is written on Java, can be run on Windows or Linux. The solver is compatible with either MPICH2 or mpj-express.

A user-friendly Matlab interface for the calculation of conformations of five-membered ring systems using experimental NMR data.