Patents by Inventor Miguel Hernando CAMELO BOTERO

Miguel Hernando CAMELO BOTERO has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20220300824
    Abstract: A computer-implemented method providing a neural network for identifying radio technologies employed in an environment. The neural network includes an autoencoder having an encoder, and a classifier. The method has the steps of sensing a radio spectrum of the environment thereby obtaining a set of data samples, labelling a subset of the data samples by a respective radio technology thereby obtaining labelled data samples, training the autoencoder in an unsupervised way by unlabelled data samples, training the classifier in a supervised way by the labelled data samples, and providing the neural network by coupling the output of an encoder network of the autoencoder to an input of the classifier.
    Type: Application
    Filed: September 4, 2020
    Publication date: September 22, 2022
    Inventors: Adnan SHAHID, Jaron FONTAINE, Eli DE POORTER, Ingrid MOERMAN, Miguel Hernando CAMELO BOTERO, Steven LATRE