Search Results for "train"

Using Machine Vision to Accelerate Bioacoustics Research.

...The software combines deconvolution for detection, and variable length template matching approaches for screening out false positive events. Eventer also includes a machine learning-based approach allowing users to train a model to implement their ‘expert’ selection criteria across data sets without bias. Sharing models allows users to implement consistent analysis procedures. The software is coded in MATLAB, but has been compiled as standalone applications for Windows, Mac and Linux. Please visit the official Eventer website for more info https://eventerneuro.netlify.app/ While the paper is in preparation, please cite as; Winchester, G., Liu, S., Steele, O.G., Aziz, W. and Penn, A.C. (2020) Eventer. ...

...The code provides the trained networks based on Vgg16, Vgg19, ResNet18, and ResNet50 ready to be used for segmentation purposes. It also provides Matlab functions ready to be used to train new networks, segment new images, and measure the quality of the training using different quantitative parameters.

...The Faster R-CNN architecture combines a Region Proposal Network (RPN) with a Fast R-CNN style detection network to share convolutional feature maps and thus speed up detection. The repo includes code to train, test, and deploy Faster R-CNN models under the MATLAB / Caffe environment, example configuration files, and model checkpoints. Multiple configuration files for different datasets and architectures. Evaluation scripts for mAP and detection metrics.

...With its visualization of quantum dynamics generated 'on the fly', WavePacket is suitable for teaching quantum mechanics as well as for research projects, see also the numerous demonstration examples . While the Matlab/Octave version is already in a mature state, the C++/Python version is still under construction. Using tensor train techniques, the additional WaveTrain package aims at beating the curse of dimensionality.

The European Rail Traffic Management System (ERTMS) is an initiative backed by the European Union to enhance cross-border interoperability and the procurement of signalling equipment by creating a single Europe-wide standard for train control and command systems. The two main components of ERTMS are the European Train Control System (ETCS), a standard for in-cab signaling and train control, and GSM-R, the GSM mobile communications standard for railway operations. The Chapter 3 of the System Requirements Specification, «Principles» of the SUBSET-026-3 (Version 3.3.0) defines in section 3.13. the onboard speed and distance monitoring. ...

This is a project to create a simple, open-source, simulation of a turbine suitable for use in wind or tidal streams in plain Octave/Matlab code. It will be designed to be suitable for integration with, and the testing of, some existing power take-off models. The drive train of the turbine will be modeled, with the scope of the model being the conversion of a given wind velocity to a torque at the input of a power take-off unit.

sigTOOL provides a user-extendable signal analysis environment for processing electrophysiological data within MATLAB. Neuron spike-train, + spectral and time-domain analyses are built in. See http://dx.doi.org/10.1016/j.jneumeth.2008.11.004

SPKtool is a toolbox developed on MATLAB which enables a user to perform spike (action potential of neurons) detection, spike sorting (manually or automatically) and spike train analysis.

This project consists in matlab scripts to create and train an Elman network. The task assigned to the network is to transform the orthographic form of a verb presented in the infinitive into its past participle and vice versa M.Carastro & R.Scanavino