Search Results for "java simulator"

Tree Growth Open Source Software is a Java based version of the forest growth simulator for north west Germany BWINPro.

TRMSim-WSN (Trust and Reputation Models Simulator for Wireless Sensor Networks) is a Java-based simulator aimed to test Trust and Reputation models for WSNs. It provides several Trust and Reputation models and new ones can be easily added.

URBAN – a Unified Rule-Based and Allosteric Network compiler and simulator for quantitative modelling in systems and synthetic biology

Meredys (MEsoscopic REaction DYnamics Simulator) is a particle based stochastic simulation software designed to model and simulate reaction-diffusion systems. (http://www.ebi.ac.uk/compneur-srv/meredys.html)

4-Dimensional Cell Simulator (4DiCeS) is a framework on hybrid (stochastic and deterministic) modeling and simulation of (whole) cell environments in 4D. The framework may incorporate any reaction and diffusion algorithms applicable in a 4D grid layout.

The Automated Life Ecosystem Simulator is a microbe simulation environment developed in Java.

Cervelletto is a neural network simulator. It uses a new neural model based on biological, neurological and psychological studies. [it's not yet completed... just give me some weeks! sorry!]

The aim of GUINNEA (Graphical User Interfaced Neural Network Architecture) is to develop a comfortable and high-featured neural net simulator which is highly configurable and flexible. It will support many neural nets and visualization features for those

Create and simulate Hybrid Petri Nets.

Simulator of virtual animals made up of biological neural networks for research in the Computational Neuroscience field.

An artificial life and cellular automata simulator, inspired by Conway's Game of Life.

An Evolution Simulator of Single Cells in a Pond. This shows a crosssection of water with sun shining from above. A single cell is dropped in and has various genes. The cells multipy and evolve. See Files above for download and screenshot.

Multimedia consumption at social events - if available - can be considered as a complex problem. People use their smart phones and tablets to take pictures and videos, leading to a high number of production places. If we enable those visitors to share their content at the event, new challenges emerge. Visitors move, go online and offline, and build a dynamic network. One can say a complex adaptive network emerges, with all its problems. We tackle these problems by introducing a bio-inspired...