Search Results for "java flight simulator"
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Showing 7 open source projects for "java flight simulator"
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Codename One
Cross-platform framework for building truly native mobile apps
...Build beautiful UI with Codename One’s rich set of widgets, specifically designed for mobile apps. Native look and feel out of the box, but fully themeable using CSS to provide your own unique look. Compiles Java or Kotlin into native code for iOS, UWP (Universal Windows Platform), Android and even JavaScript (with seamless PWA and Thread support) Changes you make in your Java/Kotlin source code will be applied immediately to your already-running app in the simulator. -
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Advanced Drone system
Advanced Drone System
This project intends to modelize a framework for remote controlled airplanes. This framework includes PPM/PCM drivers and data telemetry (location, speed, altitude) based on the SensorsAPI, to provide a reliable augmented reality for FPV flights -
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Behavior Control Network
Behavior-Based Robotics framework
A simple framework to develop behavior-based control systems for autonomous robots which relies on Webots simulator. -
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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.
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AgilPro
AgilPro is an Eclipse based business process modeling suite
AgilPro is an Eclipse based business process modeling suite providing a Business Process Modeler [LiMo - Light Modeler], a desktop application to preview and run processes [Simulator] and Application Adapters to plug in standard apps: Firefox, OpenOffice -
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Tank Battles is a 3D simulator for teaching robot artificial inteligence. It's heavilly influenced by Robocode, but differs from the former in that it adds the complexity of a full 3D scene, realistic physics simulation, among other features.
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LiNNS is not just a Neural Network Simulator, but a Neural Network System - a framework which covers the full lifecycle of a neural network, from design and research till usage in an external application.
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