Patents by Inventor Abubeker Abdullahi

Abubeker Abdullahi 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).

  • Sensor tuning—sensor specific selection for IoT—electronic nose application using gradient boosting decision trees
    Patent number: 11619618
    Abstract: Provided is a system and method for tuning an array of sensors to enable selection of the most suitable sensors for a target application. After extracting features from sensor raw data, the extracted features are ranked with gradient boosting decision trees to assign an importance value to each extracted feature. A threshold value for the entire set of extracted features is calculated and an importance score is calculated for the individual sensors of the array. Individual sensors with an importance score on or above the threshold value are selected for the target application.
    Type: Grant
    Filed: December 9, 2019
    Date of Patent: April 4, 2023
    Assignee: International Business Machines Corporation
    Inventors: Mohammed Abdi, Aminat Adebiyi, Alberto Mannari, Andrea Fasoli, Ronald Robert Labby, Luisa Bozano, Pawan Chowdhary, Abubeker Abdullahi
  • SENSOR TUNING - SENSOR SPECIFIC SELECTION FOR IoT-ELECTRONIC NOSE APPLICATION USING GRADIENT BOOSTING DECISION TREES
    Publication number: 20210172918
    Abstract: Provided is a system and method for tuning an array of sensors to enable selection of the most suitable sensors for a target application. After extracting features from sensor raw data, the extracted features are ranked with gradient boosting decision trees to assign an importance value to each extracted feature. A threshold value for the entire set of extracted features is calculated and an importance score is calculated for the individual sensors of the array. Individual sensors with an importance score on or above the threshold value are selected for the target application.
    Type: Application
    Filed: December 9, 2019
    Publication date: June 10, 2021
    Inventors: Mohammed Abdi, Aminat Adebiyi, Alberto Mannari, Andrea Fasoli, Ronald Robert Labby, Luisa Bozano, Pawan Chowdhary, Abubeker Abdullahi