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A Visual Studio .NET C++ application can perform machine learning using genetic algorithm, naive bayes, KNN, and Artificial Neural Networks (ANNs) read and processed from any standard ARFF.
Provides a voice interface for applications via a plug in system. Allows the inclusion of voice recognition in an application with a minimum of effort.
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.
This project aim to provide a crowd movement simulation based on primitive human behaviours and emerging behaviours for research and educational purposes. The application (front-end) is generic and can be reused.
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Automated Linguistic Analysis, with both monolith and cluster versions
Sample application showcasing usage of technologies such as:
* OSGi R7 Promises for asynchronous generation of transcriptions and linguistic analyses
* OSGi R7 Push Stream and JAX RS Server Sent Events for push notifications of processing status
* Apache Camel 2.23.1 and RabbitMQ 3.7 for asynchronous communication between services
* JPA 2.1 and Hibernate 5.2.12, along with OSGi R7 JPA and Transaction Control services, for persistence layer
* OSGi R7 HTTP and JAX RS Whiteboard for...