Patents by Inventor Rogerio Baldini Das Neves

Rogerio Baldini Das Neves 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).

  • Data retrieval for anomaly detection
    Patent number: 11677770
    Abstract: Data retrieval from connected devices for a data-driven anomaly detection system while complying with performance and/or availability requirements of services that rely on operation of the connected devices. Determining the amount of data, type of data, and retrieval frequency for detecting performance anomalies for each connected device that is relied upon by services so as to maintain required performance and/or availability to the service. The required parameters being the subject of an SLA for the service or the connected devices, such as IoT devices.
    Type: Grant
    Filed: March 19, 2021
    Date of Patent: June 13, 2023
    Assignee: International Business Machines Corporation
    Inventors: Rogerio Baldini Das Neves, Fernando Padia Junior, Fabio Luis Marras, Antonio Fernando Gaspar Santos, Marco Aurelio Stelmar Netto
  • DATA RETRIEVAL FOR ANOMALY DETECTION
    Publication number: 20220303291
    Abstract: Data retrieval from connected devices for a data-driven anomaly detection system while complying with performance and/or availability requirements of services that rely on operation of the connected devices. Determining the amount of data, type of data, and retrieval frequency for detecting performance anomalies for each connected device that is relied upon by services so as to maintain required performance and/or availability to the service. The required parameters being the subject of an SLA for the service or the connected devices, such as IoT devices.
    Type: Application
    Filed: March 19, 2021
    Publication date: September 22, 2022
    Inventors: Rogerio Baldini Das Neves, Fernando Padia Junior, Fabio Luis Marras, Antonio Fernando Gaspar Santos, Marco Aurelio Stelmar Netto
  • SELECTING AUTOMATION SCRIPTS USING REINFORCED LEARNING
    Publication number: 20220188213
    Abstract: A system can evaluate multiple candidate scripts. The system receives a problem statement and a sample solution script. The system selects an additional script based on the sample solution script, and compiles a list of candidates including the sample and additional scripts. Then, for each of the candidates, the system simulates execution of the script and scores performance of the script. The system then presents results of the execution.
    Type: Application
    Filed: December 11, 2020
    Publication date: June 16, 2022
    Inventors: Marcelo Mota Manhaes, Rogerio Baldini Das Neves, Sergio Varga, Igor Monteiro Vieira, Joao Luiz Todari